{"companies":[{"slug":"acm","name":"ACM Research Shanghai","chinese_name":"盛美上海","layers":["equipment"],"counterparts":["SCREEN","TEL"],"priority":2,"stage":"Commercial","role":"Wet cleaning and related process equipment.","assessment":"Distinguish the Shanghai operating company from its US-listed parent.","key_fact":{"label":"Strategic role","value":"Semiconductor cleaning and other process tools","evidence":"vendor","as_of":"2026-09-11","source_ids":["acm"]},"facts":[],"watch_for":["Domestic-fab adoption","Advanced packaging and HBM process qualifications"],"source_ids":["acm"],"reviewed_at":"2026-09-13"},{"slug":"aishengna","name":"Shanghai Aishengna","chinese_name":"","layers":["lithography"],"counterparts":["ASML","Nikon"],"priority":1,"stage":"Development","role":"Reported coordinator of initial domestic immersion DUV production.","assessment":"Public reporting describes initial production, with further testing required.","key_fact":{"label":"Production milestone","value":"Initial tool manufacturing reported in July 2026","evidence":"reported","as_of":"2026-07-28","source_ids":["duv-reuters"]},"facts":[],"watch_for":["Deliveries accepted by fabs","Yield over sustained wafer runs","Repeatable maintenance and service"],"source_ids":["duv-reuters"],"reviewed_at":"2026-09-11"},{"slug":"amec","name":"AMEC","chinese_name":"中微公司","layers":["equipment"],"counterparts":["Lam Research","Applied Materials"],"priority":1,"stage":"Commercial","role":"An important domestic etch-equipment supplier.","assessment":"AMEC's half-year report provides production-line, customer-validation and repeat-order evidence across etch and tungsten deposition. It does not name customers or disclose advanced-node yield, uptime, throughput, installed capacity or complete-process independence.","key_fact":{"label":"Etch deployment scale","value":"Company reports three ICP etch product families in volume production on lines at more than 50 customers","evidence":"vendor","as_of":"2026-06-30","source_ids":["amec-2026-h1-report"]},"facts":[{"label":"Advanced etch production","value":"Company reports Primo Nanova LUX-Cryo in stable volume production on a customer's next-generation product line, while Primo Angnova remained in customer certification with multiple repeat orders.","evidence":"vendor","as_of":"2026-06-30","source_ids":["amec-2026-h1-report"]},{"label":"Tungsten deposition qualification","value":"Company reports its tungsten CVD, high-aspect-ratio CVD and ALD series passed onsite validation at key memory and logic customers and received repeat production orders; customers and production metrics were not disclosed.","evidence":"vendor","as_of":"2026-06-30","source_ids":["amec-2026-h1-report"]},{"label":"CSEAC 2026 tool launches","value":"Six announced tools span very-high-aspect-ratio etch, PECVD, ALD, metal-film deposition and silicon-carbide epitaxy; customer qualification remains unverified.","evidence":"reported","as_of":"2026-09-01","source_ids":["amec-cseac-2026-09-05"]}],"watch_for":["Advanced-process customer qualifications","Repeat orders and production utilization"],"source_ids":["amec","amec-2026-h1-report","amec-cseac-2026-09-05"],"reviewed_at":"2026-09-15"},{"slug":"biren","name":"Biren","chinese_name":"壁仞科技","layers":["accelerators","software"],"counterparts":["NVIDIA","AMD"],"priority":2,"stage":"Scaling","role":"General-purpose GPU compute contender.","assessment":"No verified latest-versus-latest performance ratio in the baseline research.","key_fact":{"label":"Strategic role","value":"AI GPU hardware and systems","evidence":"vendor","as_of":"2026-09-11","source_ids":["biren"]},"facts":[{"label":"First-half 2026 commercialization","value":"Company reports RMB 1.236 billion revenue (up 1,997.6% year on year) and a RMB 377 million loss for the period in its September 7 half-year summary.","evidence":"vendor","as_of":"2026-06-30","source_ids":["biren-2026-h1"]},{"label":"Model compatibility","value":"Reports functional and accuracy validation of GLM-5.3-Flash on Bili 166M using SGLang and BIRENSUPA; no matched hardware speedup established.","evidence":"vendor","as_of":"2026-09-07","source_ids":["biren-glm-2026-09-07"]},{"label":"PyTorch backend","value":"Company says it released TorchSUPA, a PrivateUse1 backend plugin with common API, collective-communication, graph-capture and profiling support; no public code repository was identified in this review.","evidence":"vendor","as_of":"2026-09-07","source_ids":["biren-torchsupa-2026-09-07"]},{"label":"Optical-interconnect research","value":"September 2 Shanghai University laboratory agreement includes planned AI-chip optical-interconnect and cooling research, not production qualification.","evidence":"vendor","as_of":"2026-09-02","source_ids":["biren-shanghai-lab-2026-09-10"]}],"watch_for":["Independent benchmarks","Customer utilization","Repeatable manufacturing supply"],"source_ids":["biren","biren-2026-h1","biren-glm-2026-09-07","biren-torchsupa-2026-09-07","biren-shanghai-lab-2026-09-10"],"reviewed_at":"2026-09-14"},{"slug":"cambricon","name":"Cambricon","chinese_name":"寒武纪","layers":["accelerators","software"],"counterparts":["NVIDIA","Google TPU"],"priority":1,"stage":"Commercial","role":"MLU accelerators and NeuWare software.","assessment":"Current revenue and adoption do not establish parity on all frontier workloads.","key_fact":{"label":"Current product","value":"590; prospective 690 remains separate","evidence":"reported","as_of":"2026-09-11","source_ids":["hbm-reuters","cambricon"]},"facts":[{"label":"Upstream software participation","value":"PyTorch Foundation Platinum member with reported contributions spanning torch.compile, runtime, distributed computing, AMP, data loading and profiling.","evidence":"primary","as_of":"2026-09-08","source_ids":["pytorch-cambricon-2026-09-07","pytorch-china-2026-09-09"]}],"watch_for":["Repeat deployments","Measured utilization","HBM supply and future-chip deliveries"],"source_ids":["hbm-reuters","cambricon","pytorch-cambricon-2026-09-07","pytorch-china-2026-09-09"],"reviewed_at":"2026-09-13"},{"slug":"ciomp","name":"CIOMP","chinese_name":"长春光机所","layers":["optics","lithography"],"counterparts":["Zeiss research ecosystem"],"priority":2,"stage":"Research","role":"CAS institute working on precision optics and related research.","assessment":"Research capability and production-ready projection optics remain different stages.","key_fact":{"label":"Research role","value":"Precision optics relevant to domestic lithography","evidence":"primary","as_of":"2026-09-11","source_ids":["ciomp","euv-reuters"]},"facts":[],"watch_for":["Integrated scanner performance","Independent optics measurements"],"source_ids":["ciomp","euv-reuters"],"reviewed_at":"2026-09-13"},{"slug":"cxmt","name":"CXMT","chinese_name":"长鑫存储","layers":["memory"],"counterparts":["SK hynix","Samsung","Micron"],"priority":1,"stage":"Scaling","role":"China’s principal DRAM and HBM company to watch.","assessment":"Fifth-generation commodity DRAM is company-reported in mass production, but adequate domestic HBM volume and frontier HBM performance remain separate milestones. The reported NAND project is an R&D-line plan, not evidence of qualified commercial output.","key_fact":{"label":"HBM milestone","value":"Small-volume HBM3E reportedly produced in August 2026","evidence":"reported","as_of":"2026-09-11","source_ids":["cxmt-hbm","cxmt"]},"facts":[{"label":"Fifth-generation DRAM platform","value":"CXMT says its fifth-generation platform entered mass production using quadruple patterning and an 11.95 nm active-area half-pitch; independent yield and reliability data were not disclosed.","evidence":"reported","as_of":"2026-09-20","source_ids":["cxmt-g5-dram-2026-09-20"]},{"label":"LPDDR5X production","value":"Two 24 Gb LPDDR5X products are company-reported in mass production, with at least 50% more gross dies per wafer than the fourth-generation platform on an 8 Gb baseline; gross dies are potential dies before defective units are excluded, not tested yield.","evidence":"reported","as_of":"2026-09-20","source_ids":["cxmt-g5-dram-2026-09-20"]},{"label":"NAND expansion plan","value":"Reuters reports CXMT plans a Beijing NAND R&D production line and has discussed prospective AI-storage customers; no operating date or commercial-production commitment was established.","evidence":"reported","as_of":"2026-09-18","source_ids":["cxmt-nand-2026-09-18"]}],"watch_for":["Customer-qualified HBM shipments","Stack yield and volume","Accelerators shipping with verified domestic DRAM","Independent G5 yield, reliability and customer qualification","Named domestic-equipment contributions to the G5 process flow","NAND trial-line operation and transition to qualified volume production"],"source_ids":["cxmt-hbm","cxmt","cxmt-nand-2026-09-18","cxmt-g5-dram-2026-09-20"],"reviewed_at":"2026-09-20"},{"slug":"empyrean","name":"Empyrean","chinese_name":"华大九天","layers":["eda"],"counterparts":["Synopsys","Cadence","Siemens EDA"],"priority":2,"stage":"Commercial","role":"Domestic EDA tools across analog, digital, and verification workflows.","assessment":"A complete qualified design flow is a higher bar than replacing one tool.","key_fact":{"label":"Coverage","value":"Growing design and verification portfolio","evidence":"vendor","as_of":"2026-09-11","source_ids":["empyrean"]},"facts":[],"watch_for":["Complete-flow customer tape-outs","Frontier-node sign-off accuracy","Interoperability and productivity"],"source_ids":["empyrean"],"reviewed_at":"2026-09-13"},{"slug":"enflame","name":"Enflame","chinese_name":"燧原科技","layers":["accelerators","software"],"counterparts":["NVIDIA","AMD"],"priority":1,"stage":"Scaling","role":"AI accelerators and systems with Tencent as an anchor customer.","assessment":"TechInsights found TSMC N6 in the examined S60 compute chiplet; this does not identify the provenance of every later product.","key_fact":{"label":"Customer concentration","value":"83.79% of 2025 revenue linked to Tencent","evidence":"reported","as_of":"2026-09-11","source_ids":["enflame-ipo","enflame-teardown"]},"facts":[{"label":"IPO-funded development plans","value":"Reuters reports IPO proceeds are intended mainly for fifth- and sixth-generation AI chips, software and large computing systems; funding plans are not delivered products.","evidence":"reported","as_of":"2026-09-11","source_ids":["enflame-ipo"]},{"label":"S60 compute chiplet","value":"TSMC N6, identified by independent teardown","evidence":"measured","as_of":"2026-02-03","source_ids":["enflame-teardown"]}],"watch_for":["Adoption beyond Tencent","Manufacturing route for new generations","Independent training and inference results"],"source_ids":["enflame-ipo","enflame-teardown"],"reviewed_at":"2026-09-12"},{"slug":"eoptolink","name":"Eoptolink","chinese_name":"新易盛","layers":["photonics"],"counterparts":["Coherent"],"priority":1,"stage":"Commercial","role":"High-speed optical transceivers and network optics.","assessment":"A clear example of global Chinese product competitiveness without total component sovereignty. A September 2026 independent teardown of one 400G module identified US DSP and analog/power components, but the anonymous single-sample inspection does not establish the bill of materials for current 800G or 1.6T production.","key_fact":{"label":"Component provenance","value":"1.6T designs use Broadcom optical DSPs","evidence":"vendor","as_of":"2026-03-11","source_ids":["eop-dsp","eoptolink"]},"facts":[{"label":"1.6T shipment progression","value":"Company reports higher second-quarter than first-quarter 2026 shipments; faster second-half growth is an expectation, not a realized result.","evidence":"reported","as_of":"2026-09-11","source_ids":["cioe-optics-2026-09-11"]},{"label":"400G module component inspection","value":"An independent teardown of one Eoptolink 400G DR4+2km module identified a Marvell IN010C50 DSP and multiple Analog Devices power and analog parts; the module's manufacturing date and representativeness were not established.","evidence":"measured","as_of":"2026-09-19","source_ids":["eoptolink-400g-teardown-2026-09-19"]}],"watch_for":["Volume adoption of next-generation optics","Domestic DSP and laser substitution"],"source_ids":["eop-dsp","eoptolink","cioe-optics-2026-09-11","eoptolink-400g-teardown-2026-09-19"],"reviewed_at":"2026-09-19"},{"slug":"guowang","name":"Beijing Guowang","chinese_name":"北京国望光学","layers":["optics"],"counterparts":["Zeiss"],"priority":3,"stage":"Development","role":"Optical-system development and patent holder.","assessment":"A patent establishes a documented design, not a shipping scanner capability.","key_fact":{"label":"Evidence base","value":"Published optical-system patent","evidence":"primary","as_of":"2026-09-11","source_ids":["guowang"]},"facts":[],"watch_for":["Customer qualifications","Verified projection-optics production"],"source_ids":["guowang"],"reviewed_at":"2026-09-14"},{"slug":"h3c","name":"H3C","chinese_name":"新华三","layers":["networking"],"counterparts":["NVIDIA networking","Cisco","Arista"],"priority":2,"stage":"Commercial","role":"Data-center network and system supplier.","assessment":"Open interconnect work and a reported customer deployment are meaningful integration signals, but do not establish domestic provenance for all silicon or performance parity with InfiniBand.","key_fact":{"label":"Deployment evidence","value":"H3C reports a deployed DDC lossless-network project with Xiaohongshu and participation in G-Link and ODCC standards work; no matched InfiniBand workload result was disclosed.","evidence":"primary","as_of":"2026-09-04","source_ids":["h3c-odx-2026-09-04"]},"facts":[{"label":"Open scale-up direction","value":"H3C describes UXM module support, G-Link development and NPO/CPO interfaces with 112G/224G compatibility and a reserved 448G SerDes path.","evidence":"primary","as_of":"2026-09-04","source_ids":["h3c-odx-2026-09-04"]}],"watch_for":["RDMA behavior under congestion","Switch and NIC silicon provenance","Large-cluster collective performance"],"source_ids":["h3c","h3c-odx-2026-09-04"],"reviewed_at":"2026-09-14"},{"slug":"huawei","name":"Huawei","chinese_name":"华为","layers":["accelerators","networking","software"],"counterparts":["NVIDIA","Google TPU"],"priority":1,"stage":"Commercial","role":"The central full-stack contender: Ascend, Atlas, interconnects, and CANN.","assessment":"Huawei reports meaningful system shipments, commercial Ascend 950 use and a named carrier deployment, but also says production cannot satisfy domestic demand. The disclosures do not supply independently verified utilization or workload performance, and Chinese design and deployment do not establish independence in HBM or fabrication equipment.","key_fact":{"label":"Next product gate","value":"Ascend 950DT: expected Q4 2026","evidence":"reported","as_of":"2026-09-11","source_ids":["ascend","hbm-reuters"]},"facts":[{"label":"Scientific-computing measurements","value":"A Pengcheng Laboratory preprint measured Ascend 910A/B/C on five scientific workloads; a tuned 910C quantum-simulation run took 11.4 seconds versus 14.3 seconds on A800, while vector- and memory-bound kernels remained constrained. This is not a model-training or inference result.","evidence":"measured","as_of":"2026-07-22","source_ids":["ascend-science-2026-07-22"]},{"label":"Domestic supply constraint","value":"Huawei says it cannot produce enough AI computing equipment to meet Chinese demand and is consequently limiting overseas sales; no capacity, order or fulfillment figures were disclosed.","evidence":"reported","as_of":"2026-09-17","source_ids":["huawei-connect-2026-09-17"]},{"label":"Ascend 950 commercialization claim","value":"Huawei materials say Ascend 950 systems entered commercial use; configurations, volume, customer acceptance and workload results were not disclosed.","evidence":"reported","as_of":"2026-09-17","source_ids":["huawei-connect-2026-09-17"]},{"label":"Scale-up architecture roadmap","value":"Huawei says Peerium is intended to link up to one million processors and an Ascend 960 supernode is planned for up to 4,096 processors; these are architecture targets, not measured results.","evidence":"reported","as_of":"2026-09-17","source_ids":["huawei-connect-2026-09-17"]},{"label":"Reported supernode shipments","value":"Huawei says it shipped more than 1,000 supernodes to more than 370 customers; customer, configuration, utilization and workload details were not disclosed.","evidence":"reported","as_of":"2026-09-17","source_ids":["huawei-connect-2026-09-17"]},{"label":"2027 accelerator roadmap","value":"Huawei expects the 960DT in Q1 2027 and Ascend 960PR in Q3 2027; these are launch targets, not delivered-product evidence.","evidence":"reported","as_of":"2026-09-17","source_ids":["huawei-connect-2026-09-17"]},{"label":"China Unicom deployment","value":"Huawei says China Unicom deployed Ascend compute at scale and a 384-NPU supernode, and is adapting Ascend 950 for Unicom Cloud; independent operating metrics were not disclosed.","evidence":"vendor","as_of":"2026-09-10","source_ids":["huawei-china-unicom-2026-09-10"]},{"label":"PyTorch accelerator integration","value":"Huawei is a PyTorch Foundation Platinum member and co-chairs its Accelerator Integration Working Group; governance participation does not prove workload parity.","evidence":"primary","as_of":"2026-09-09","source_ids":["pytorch-china-2026-09-09"]},{"label":"Atlas 350 / 950PR","value":"112 GB HBM; 1.4 TB/s; 425 TFLOPS BF16; up to 600 W","evidence":"vendor","as_of":"2026-09-11","source_ids":["atlas350"]}],"watch_for":["Sustained time-to-quality on large training runs","Customer utilization and recovery statistics","950DT deliveries and verified memory provenance","960DT and 960PR delivery against the new 2027 launch targets","Capacity, order fulfillment and verified performance of commercial Ascend 950 systems"],"source_ids":["ascend","hbm-reuters","pytorch-china-2026-09-09","huawei-connect-2026-09-17","huawei-china-unicom-2026-09-10","ascend-science-2026-07-22"],"reviewed_at":"2026-09-21"},{"slug":"hwatsing","name":"Hwatsing","chinese_name":"华海清科","layers":["equipment"],"counterparts":["Applied Materials","Ebara"],"priority":2,"stage":"Commercial","role":"CMP, wafer thinning, and related process equipment.","assessment":"Polishing and thinning quality are essential to downstream packaging yield. Delivery to a production line does not by itself disclose customer acceptance, yield, uptime or volume.","key_fact":{"label":"Panel-level CMP delivery","value":"Master-P510APEX was reported shipped to an advanced-packaging production line for use.","evidence":"reported","as_of":"2026-09-09","source_ids":["hwatsing-panel-cmp-2026-09-09"]},"facts":[{"label":"Process scope","value":"The vendor describes automated endpoint detection and multiple polishing modes for large-format panel-level packaging; customer and production metrics were not disclosed.","evidence":"reported","as_of":"2026-09-09","source_ids":["hwatsing-panel-cmp-2026-09-09"]}],"watch_for":["Production yield and customer acceptance","HBM and packaging demand"],"source_ids":["hwatsing","hwatsing-panel-cmp-2026-09-09"],"reviewed_at":"2026-09-14"},{"slug":"iluvatar","name":"Iluvatar CoreX","chinese_name":"天数智芯","layers":["accelerators"],"counterparts":["NVIDIA","AMD"],"priority":2,"stage":"Commercial","role":"GPU compute and AI deployment supplier.","assessment":"Assess the specific shipping product and its memory and fabrication route.","key_fact":{"label":"Strategic role","value":"Commercial GPU compute platform","evidence":"vendor","as_of":"2026-09-11","source_ids":["iluvatar"]},"facts":[],"watch_for":["Repeat orders","Utilization and deployment economics","Independent contemporary benchmarks"],"source_ids":["iluvatar"],"reviewed_at":"2026-09-15"},{"slug":"innolight","name":"InnoLight","chinese_name":"中际旭创","layers":["photonics"],"counterparts":["Coherent"],"priority":1,"stage":"Commercial","role":"Optical modules for global data-center networks.","assessment":"Module-level competitiveness can coexist with foreign-component dependencies.","key_fact":{"label":"Strategic position","value":"Globally competitive optical-module supplier","evidence":"vendor","as_of":"2026-09-11","source_ids":["innolight"]},"facts":[{"label":"1.6T commercialization","value":"Company says silicon-photonics modules are scaling with shipments rising each quarter, according to National Business Daily's September 11 reporting.","evidence":"reported","as_of":"2026-09-11","source_ids":["cioe-optics-2026-09-11"]}],"watch_for":["1.6T product shipments and customer qualification","DSP and laser sourcing","Performance per watt and manufacturing yield"],"source_ids":["innolight","cioe-optics-2026-09-11"],"reviewed_at":"2026-09-12"},{"slug":"jcet","name":"JCET","chinese_name":"长电科技","layers":["packaging"],"counterparts":["ASE","Amkor","TSMC CoWoS"],"priority":2,"stage":"Commercial","role":"Outsourced assembly, test, and advanced packaging.","assessment":"JCET's half-year report provides company evidence of XDFOI volume production and customer validation of silicon-photonics engine samples. It does not establish frontier compute-plus-HBM package yield, capacity, thermal performance or domestic input provenance.","key_fact":{"label":"XDFOI production status","value":"Company reports that its high-density heterogeneous-integration platform reached volume production","evidence":"vendor","as_of":"2026-06-30","source_ids":["jcet-2026-h1-report"]},"facts":[{"label":"Computing-electronics mix","value":"First-half computing-electronics revenue grew 40.4% year over year and represented 30.1% of company revenue.","evidence":"vendor","as_of":"2026-06-30","source_ids":["jcet-2026-h1-report"]},{"label":"Silicon-photonics validation","value":"Company reports delivering XDFOI-based silicon-photonics engine samples that passed customer validation and working with multiple customers on packaging, thermal and reliability optimization; volume and capacity were not disclosed.","evidence":"vendor","as_of":"2026-06-30","source_ids":["jcet-2026-h1-report"]}],"watch_for":["Large compute-plus-HBM package yield","Capacity, thermal limits and reliability"],"source_ids":["jcet","jcet-2026-h1-report"],"reviewed_at":"2026-09-15"},{"slug":"kingsemi","name":"Kingsemi","chinese_name":"芯源微","layers":["equipment"],"counterparts":["TEL"],"priority":2,"stage":"Commercial","role":"Coating and developing equipment used around lithography.","assessment":"Surrounding process steps matter alongside the exposure scanner.","key_fact":{"label":"Strategic role","value":"Coat/develop and associated process equipment","evidence":"vendor","as_of":"2026-09-11","source_ids":["kingsemi"]},"facts":[],"watch_for":["Advanced lithography integration","Customer-qualified throughput and defect rates"],"source_ids":["kingsemi"],"reviewed_at":"2026-09-15"},{"slug":"kunlunxin","name":"Kunlunxin","chinese_name":"昆仑芯","layers":["accelerators"],"counterparts":["Google TPU","AWS Inferentia"],"priority":2,"stage":"Commercial","role":"AI accelerators with a cloud and application ecosystem around Baidu.","assessment":"Kunlunxin is showing faster model-support cadence through a downloadable FlagOS image for MiniCPM5-2B. The disclosure establishes deployment compatibility, not throughput, latency, power efficiency or broad software-ecosystem parity.","key_fact":{"label":"Architecture category","value":"XPU AI accelerators","evidence":"vendor","as_of":"2026-09-11","source_ids":["kunlunxin"]},"facts":[{"label":"MiniCPM5-2B deployment","value":"Kunlunxin and FlagOS report Day-0 adaptation and inference validation, with a BF16 deployment image published through ModelScope and Hugging Face.","evidence":"vendor","as_of":"2026-09-10","source_ids":["kunlunxin-minicpm-2026-09-10"]}],"watch_for":["Customer adoption beyond affiliated workloads","Model-specific cost/performance","Manufacturing provenance"],"source_ids":["kunlunxin","kunlunxin-minicpm-2026-09-10"],"reviewed_at":"2026-09-16"},{"slug":"ligent","name":"Ligent Technologies","chinese_name":"","layers":["photonics"],"counterparts":["Coherent","Lumentum"],"priority":2,"stage":"Commercial","role":"Optical transceivers, optical chips and network terminals for data-center and telecom links.","assessment":"Ligent combines optical modules with some chip and terminal development and has raised substantial capital for faster products and capacity. Reuters reported an analyst's view that its current shipments remain weighted toward lower-speed modules; high-speed shipment mix, customer qualification, manufacturing yield and critical component provenance remain undisclosed.","key_fact":{"label":"IPO capital for R&D and capacity","value":"Raised HKD 5.67 billion; plans about 52.9% of net proceeds for product and chip R&D and 25.1% for capacity expansion","evidence":"reported","as_of":"2026-09-22","source_ids":["ligent-ipo-2026-09-22"]},"facts":[{"label":"High-speed product portfolio","value":"Company lists 400G, 800G and 1.6T pluggable transceiver families; the site does not establish shipment mix, customer qualification or production yield.","evidence":"vendor","as_of":"2026-09-22","source_ids":["ligent"]},{"label":"First-half 2026 scale","value":"Reuters reports RMB 5.39 billion revenue and RMB 661 million net profit for the six months ended June 30, up 27.9% and 29.7% year over year.","evidence":"reported","as_of":"2026-06-30","source_ids":["ligent-ipo-2026-09-22"]}],"watch_for":["800G and 1.6T shipment mix and named-customer qualification","Optical DSP, laser and analog-component provenance","Capacity additions, manufacturing yield and performance per watt"],"source_ids":["ligent","ligent-ipo-2026-09-22"],"reviewed_at":"2026-09-22"},{"slug":"metax","name":"MetaX","chinese_name":"沐曦","layers":["accelerators"],"counterparts":["NVIDIA","AMD"],"priority":2,"stage":"Scaling","role":"Chinese GPU compute contender.","assessment":"MetaX reports broadening model and framework coverage, including ATRIA Dawn Preview support on release day. The current evidence is vendor-reported compatibility and operator coverage; it does not establish application performance, correctness across workloads or frontier parity.","key_fact":{"label":"Research status","value":"Named commercial supplier; comparable independent benchmark still needed","evidence":"reported","as_of":"2026-09-11","source_ids":["hbm-reuters"]},"facts":[{"label":"Software compatibility coverage","value":"MetaX reports 37 flagship-model Day-0 adaptations since December 2025 and full support for PyTorch 2.8's 2,410 GPU operators; no reproducible workload benchmark accompanied the claim.","evidence":"vendor","as_of":"2026-09-14","source_ids":["metax-atria-2026-09-14"]}],"watch_for":["Independent workload results","Product availability","Memory sourcing"],"source_ids":["hbm-reuters","metax-atria-2026-09-14"],"reviewed_at":"2026-09-16"},{"slug":"moore-threads","name":"Moore Threads","chinese_name":"摩尔线程","layers":["accelerators","software"],"counterparts":["NVIDIA","AMD"],"priority":2,"stage":"Scaling","role":"GPU hardware and the MUSA programming ecosystem.","assessment":"Moore Threads now has company-reported commercial evidence from a delivered RMB 660 million KUAE cluster contract, while JD Cloud's 100,000-GPU cluster remains an announced plan rather than an operating deployment. The disclosed utilization and scaling figures are self-measured and do not provide a matched current foreign-hardware comparison.","key_fact":{"label":"Delivered cluster contract","value":"Company reports a RMB 660 million KUAE contract fully delivered and recognized in first-half revenue","evidence":"vendor","as_of":"2026-06-30","source_ids":["moore-threads-2026-h1-report"]},"facts":[{"label":"First-half commercial scale","value":"Company reports RMB 1.736 billion of first-half revenue, up 147.42% year over year, and an attributable net loss of RMB 11.56 million.","evidence":"vendor","as_of":"2026-06-30","source_ids":["moore-threads-2026-h1-report"]},{"label":"Vendor-reported KUAE training metrics","value":"Company reports Dense-model MFU up to 60%, MoE-model MFU up to 40%, 95% linear scaling efficiency and effective training time above 90%; workload, power and matched comparator details were not disclosed in the filing.","evidence":"vendor","as_of":"2026-06-30","source_ids":["moore-threads-2026-h1-report"]},{"label":"JD Cloud cluster plan","value":"JD Cloud announced a plan to build a 100,000-GPU cluster based on Moore Threads; no delivery schedule, completed card count, topology or operational results were disclosed.","evidence":"vendor","as_of":"2026-09-09","source_ids":["moore-threads-jd-cloud-2026-09-09"]}],"watch_for":["Real application portability","Sustained training throughput","Compiler correctness and manufacturing access"],"source_ids":["mthreads","moore-threads-2026-h1-report","moore-threads-jd-cloud-2026-09-09"],"reviewed_at":"2026-09-16"},{"slug":"naura","name":"NAURA","chinese_name":"北方华创","layers":["equipment"],"counterparts":["Applied Materials","Lam Research"],"priority":1,"stage":"Commercial","role":"Broad etch, deposition, thermal, and other semiconductor equipment.","assessment":"NAURA reports broad commercial scale and more than 1,000 cumulative deliveries in each of three tool categories. Delivery counts do not establish advanced-node customer qualification, production yield or domestic provenance for critical components, and a qualified tool still covers only one process step rather than a sovereign fab flow.","key_fact":{"label":"Deployment scale","value":"Company reports more than 1,000 cumulative deliveries each for etch, PVD and vertical furnace systems","evidence":"vendor","as_of":"2026-06-30","source_ids":["naura-2026-h1-report"]},"facts":[{"label":"First-half commercial scale","value":"Company reported RMB 20.161 billion of first-half revenue, up 24.90% year over year, and RMB 2.677 billion of R&D expense, up 28.87%.","evidence":"vendor","as_of":"2026-06-30","source_ids":["naura-2026-h1-report"]},{"label":"Advanced packaging expansion","value":"Company reports that hybrid-bonding and high-end TSV electroplating tools were rolled out; the filing does not disclose named-customer acceptance, yield or production volume.","evidence":"vendor","as_of":"2026-06-30","source_ids":["naura-2026-h1-report"]}],"watch_for":["Customer-qualified replacement tools","Installed base and service revenue","Production yield at advanced nodes"],"source_ids":["naura","naura-2026-h1-report"],"reviewed_at":"2026-09-15"},{"slug":"rslaser","name":"RSLaser","chinese_name":"北京科益虹源","layers":["optics"],"counterparts":["Cymer","Gigaphoton","TRUMPF"],"priority":2,"stage":"Development","role":"Lithography light-source supplier to watch.","assessment":"DUV source progress should not be relabeled as a complete EUV source replacement.","key_fact":{"label":"Development focus","value":"Stable high-power light sources for domestic lithography","evidence":"reported","as_of":"2026-09-11","source_ids":["duv-ft"]},"facts":[],"watch_for":["Source stability and lifetime","Production scanner qualifications"],"source_ids":["duv-ft"],"reviewed_at":"2026-09-11"},{"slug":"siom","name":"SIOM","chinese_name":"上海光机所","layers":["optics"],"counterparts":["Advanced laser research ecosystem"],"priority":2,"stage":"Research","role":"CAS institute specializing in optics and laser science.","assessment":"Laboratory light generation alone does not establish a commercial lithography source.","key_fact":{"label":"Research role","value":"Advanced laser and optical research","evidence":"primary","as_of":"2026-09-11","source_ids":["siom"]},"facts":[],"watch_for":["Stable integrated light-source demonstrations","Production-relevant lifetime and power"],"source_ids":["siom"],"reviewed_at":"2026-09-11"},{"slug":"skyverse","name":"Skyverse","chinese_name":"中科飞测","layers":["metrology"],"counterparts":["KLA","Hitachi High-Tech"],"priority":2,"stage":"Commercial","role":"Inspection and metrology for wafer processing and packaging.","assessment":"A product catalog does not establish parity with the most sensitive frontier instruments.","key_fact":{"label":"Portfolio milestone","value":"Optical inspection and electron-beam dimensional metrology listed","evidence":"vendor","as_of":"2026-09-11","source_ids":["skyverse"]},"facts":[],"watch_for":["Detection sensitivity","Production throughput","Advanced-node and HBM customer qualifications"],"source_ids":["skyverse"],"reviewed_at":"2026-09-17"},{"slug":"smee","name":"SMEE","chinese_name":"上海微电子","layers":["lithography"],"counterparts":["ASML","Nikon"],"priority":2,"stage":"Commercial","role":"Domestic lithography equipment company.","assessment":"Older public product listings do not define the ceiling of all Chinese lithography efforts.","key_fact":{"label":"Public evidence","value":"Commercial lithography portfolio; 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Vendor performance and cluster-scale claims still require disclosed baselines, topology and reproducible workloads.","key_fact":{"label":"Reported deployment scale","value":"More than 560,000 Zhenwu units shipped; over 400 external customers across 20 industries","evidence":"reported","as_of":"2026-05-20","source_ids":["m890","thead"]},"facts":[{"label":"M890 rack system","value":"Alibaba said the Panjiu AL128 packages 128 M890 accelerators in one rack and was available to Chinese enterprise customers through Bailian; operating and customer-acceptance data were not disclosed.","evidence":"reported","as_of":"2026-05-20","source_ids":["m890"]},{"label":"Accelerator roadmap","value":"Alibaba targets Zhenwu V900 for Q3 2027 and J900 for Q3 2028; these are expected milestones, not delivered products, and the reported performance multipliers lack a disclosed workload.","evidence":"reported","as_of":"2026-05-20","source_ids":["m890"]},{"label":"V900 launch update","value":"Alibaba unveiled V900 and now targets mass production and commercial release in Q1 2027, earlier than its May Q3 2027 roadmap; it claims three times M890 performance and clusters of up to 500,000 chips without disclosing workload, precision, topology, power or operating results.","evidence":"reported","as_of":"2026-09-22","source_ids":["alibaba-v900-2026-09-22"]}],"watch_for":["Measured cloud utilization","Independent model-serving economics","Memory and manufacturing provenance","Product mix, utilization and acceptance behind reported shipment counts","V900 production, customer acceptance and reproducible cluster-scale workloads"],"source_ids":["m890","thead","alibaba-v900-2026-09-22"],"reviewed_at":"2026-09-22"},{"slug":"ymtc","name":"YMTC","chinese_name":"长江存储","layers":["memory"],"counterparts":["Samsung","Kioxia","Micron"],"priority":1,"stage":"Commercial","role":"NAND and enterprise storage built around Xtacking.","assessment":"NAND is storage; it is not a direct substitute for accelerator HBM.","key_fact":{"label":"Technology","value":"Separate memory-cell and logic wafers, bonded together","evidence":"vendor","as_of":"2026-09-11","source_ids":["ymtc"]},"facts":[],"watch_for":["NAND density and yield","Enterprise SSD qualifications","Equipment localization"],"source_ids":["ymtc"],"reviewed_at":"2026-09-11"},{"slug":"yuliangsheng","name":"Yuliangsheng","chinese_name":"宇量昇","layers":["lithography"],"counterparts":["ASML","Nikon"],"priority":1,"stage":"Development","role":"An emerging domestic immersion DUV developer.","assessment":"Testing a scanner does not establish commercially competitive volume production.","key_fact":{"label":"Qualification stage","value":"Fab testing reported in September 2026","evidence":"reported","as_of":"2026-09-11","source_ids":["duv-ft","duv-reuters"]},"facts":[],"watch_for":["Qualified wafer production","Overlay, throughput and uptime","Independent component-provenance evidence"],"source_ids":["duv-ft","duv-reuters"],"reviewed_at":"2026-09-11"},{"slug":"zhiqi","name":"Fujian Zhiqi Photonics","chinese_name":"","layers":["optics"],"counterparts":["Zeiss"],"priority":2,"stage":"Development","role":"Domestic projection-optics effort associated with the lithography supply chain.","assessment":"A development program is not a proven EUV optics substitute.","key_fact":{"label":"Development focus","value":"Locally sourced alternatives to projection lenses","evidence":"reported","as_of":"2026-09-11","source_ids":["duv-ft"]},"facts":[],"watch_for":["Lens qualification in production scanners","Optical precision and stable yields"],"source_ids":["duv-ft"],"reviewed_at":"2026-09-11"}],"sources":[{"slug":"acm","title":"Semiconductor equipment portfolio","publisher":"ACM Research","url":"https://www.acmr.com/","kind":"primary","published_at":null,"reviewed_at":"2026-09-11"},{"slug":"alibaba-v900-2026-09-22","title":"Alibaba deepens AI push with new chip, bigger model; shares jump 5%","publisher":"Reuters","url":"https://www.reuters.com/business/retail-consumer/alibaba-plans-ai-model-with-5-trillion-10-trillion-parameters-unveils-new-chip-2026-09-22/","kind":"reporting","published_at":"2026-09-22","reviewed_at":"2026-09-22"},{"slug":"amec-2026-h1-report","title":"2026 half-year report","publisher":"Advanced Micro-Fabrication Equipment Inc. 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submissions","publisher":"MLCommons","url":"https://github.com/mlcommons/inference_results_v6.0/tree/main/closed","kind":"standardized","published_at":null,"reviewed_at":"2026-09-22"},{"slug":"mlperf-training","title":"MLPerf Training v6.0 submissions","publisher":"MLCommons","url":"https://github.com/mlcommons/training_results_v6.0","kind":"standardized","published_at":null,"reviewed_at":"2026-09-22"},{"slug":"moore-threads-2026-h1-report","title":"2026 half-year report","publisher":"Moore Threads","url":"https://static.sse.com.cn/disclosure/listedinfo/announcement/c/new/2026-08-10/688795_20260810_RWA4.pdf","kind":"primary","published_at":"2026-08-10","reviewed_at":"2026-09-16"},{"slug":"moore-threads-jd-cloud-2026-09-09","title":"JD Cloud and Moore Threads announce planned 100,000-GPU cluster","publisher":"Moore Threads","url":"https://www.mthreads.com/news/345","kind":"primary","published_at":"2026-09-09","reviewed_at":"2026-09-16"},{"slug":"mthreads","title":"GPU and MUSA portfolio","publisher":"Moore Threads","url":"https://www.mthreads.com/","kind":"primary","published_at":null,"reviewed_at":"2026-09-16"},{"slug":"naura-2026-h1-report","title":"2026 half-year report","publisher":"NAURA Technology Group","url":"https://static.cninfo.com.cn/finalpage/2026-08-26/1225501903.PDF","kind":"primary","published_at":"2026-08-26","reviewed_at":"2026-09-15"},{"slug":"naura","title":"Process equipment portfolio","publisher":"NAURA","url":"https://www.naura.com/en/","kind":"primary","published_at":null,"reviewed_at":"2026-09-11"},{"slug":"pytorch-cambricon-2026-09-07","title":"Cambricon joins the PyTorch Foundation as a Platinum member","publisher":"PyTorch Foundation","url":"https://pytorch.org/blog/cambricon-joins-the-pytorch-foundation-as-a-platinum-member/","kind":"primary","published_at":"2026-09-07","reviewed_at":"2026-09-13"},{"slug":"pytorch-china-2026-09-09","title":"PyTorch Conference China 2026 advances the open-source AI stack","publisher":"PyTorch Foundation","url":"https://pytorch.org/blog/pytorch-conference-china-2026-advancing-the-open-source-ai-stack/","kind":"primary","published_at":"2026-09-09","reviewed_at":"2026-09-13"},{"slug":"siom","title":"Laser and optics research","publisher":"SIOM / CAS","url":"https://english.siom.cas.cn/aboutsiom/","kind":"primary","published_at":null,"reviewed_at":"2026-09-11"},{"slug":"skyverse","title":"Inspection and metrology portfolio","publisher":"Skyverse","url":"https://www.skyverse.cn/","kind":"primary","published_at":null,"reviewed_at":"2026-09-17"},{"slug":"smee","title":"Lithography equipment portfolio","publisher":"SMEE","url":"https://www.smee.com.cn/","kind":"primary","published_at":null,"reviewed_at":"2026-09-18"},{"slug":"smic-teardown","title":"SMIC N+3 process analysis","publisher":"TechInsights","url":"https://www.techinsights.com/blog/smic-n3-confirmed-kirin-9030-analysis-reveals-how-close-smic-5nm","kind":"independent","published_at":"2025-12-11","reviewed_at":"2026-09-11"},{"slug":"thead","title":"T-Head chip portfolio","publisher":"Alibaba T-Head","url":"https://www.t-head.cn/","kind":"primary","published_at":null,"reviewed_at":"2026-09-19"},{"slug":"tpu7","title":"TPU7x Ironwood specifications","publisher":"Google Cloud","url":"https://docs.cloud.google.com/tpu/docs/tpu7x","kind":"primary","published_at":null,"reviewed_at":"2026-09-11"},{"slug":"tsmc","title":"Foundry process portfolio","publisher":"TSMC","url":"https://www.tsmc.com/english/dedicatedFoundry/technology/logic/l_2nm","kind":"primary","published_at":null,"reviewed_at":"2026-09-11"},{"slug":"ymtc","title":"NAND and enterprise storage portfolio","publisher":"YMTC","url":"https://www.ymtc.com/en/","kind":"primary","published_at":null,"reviewed_at":"2026-09-11"}],"news":[{"slug":"alibaba-v900-2026-09-22","published_at":"2026-09-22","event_date":"2026-09-22","title":"Alibaba unveils Zhenwu V900 and advances commercial-release target","summary":"Alibaba unveiled T-Head's Zhenwu V900 and said mass production and commercial release are planned for Q1 2027, earlier than the Q3 2027 target reported in May. The company claims three times M890 performance and support for clusters of up to 500,000 chips, but did not disclose workload, precision, device memory, fabrication, power, topology, recovery or measured scaling data.","impact":"The revised schedule and proposed cluster scale strengthen T-Head's roadmap signal, not delivered performance or supply-chain sovereignty. Preserve the May roadmap as a dated historical claim and watch for production qualification, customer acceptance and reproducible model results.","companies":["thead"],"source_ids":["alibaba-v900-2026-09-22"],"evidence":"reported","added_at":"2026-09-22","correction_of":null},{"slug":"ligent-ipo-2026-09-22","published_at":"2026-09-22","event_date":"2026-09-22","title":"Ligent raises HKD 5.67 billion for optical R&D and capacity","summary":"Ligent Technologies completed its Hong Kong listing after raising HKD 5.67 billion. Reuters reports that about 52.9% of net proceeds are planned for faster optical products and chip R&D and 25.1% for production-capacity expansion. First-half revenue was RMB 5.39 billion and net profit RMB 661 million.","impact":"The financing can expand China's optical-module and related chip capacity, but capital raised is not evidence of high-speed product qualification or domestic component provenance. Reuters cited an analyst saying the current shipment mix remains weighted toward the lower end of the module range.","companies":["ligent"],"source_ids":["ligent-ipo-2026-09-22","ligent"],"evidence":"reported","added_at":"2026-09-22","correction_of":null},{"slug":"cxmt-g5-dram-2026-09-20","published_at":"2026-09-20","event_date":"2026-09-20","title":"CXMT says its fifth-generation DRAM platform and 24 Gb LPDDR5X entered mass production","summary":"At the 2026 World Manufacturing Convention, CXMT said its fifth-generation DRAM platform had entered mass production using quadruple patterning and an 11.95 nm active-area half-pitch. The company also said two 24 Gb LPDDR5X products made on the platform were in mass production.","impact":"This is a material claimed density and manufacturing milestone for China's commodity DRAM base, but not an HBM milestone or an independent yield result. CXMT's claim of at least 50% more gross dies per wafer than its fourth-generation platform measures potential dies before defects are excluded. The company said it worked with Chinese equipment makers on critical steps without naming them or establishing a fully domestic process flow.","companies":["cxmt"],"source_ids":["cxmt-g5-dram-2026-09-20"],"evidence":"reported","added_at":"2026-09-20","correction_of":null},{"slug":"eoptolink-400g-teardown-2026-09-19","published_at":"2026-09-19","event_date":null,"title":"Single-module teardown identifies US components in an Eoptolink 400G transceiver","summary":"An independent teardown of one Eoptolink 400G DR4+2km module identified a Marvell IN010C50 DSP and several Analog Devices power and analog parts. The author inferred rather than identified the laser supplier, so that inference is excluded from the recorded fact.","impact":"The inspection is direct evidence that this sampled module depends on US silicon. It is anonymous, covers one unit with no disclosed manufacturing date and does not establish the bill of materials for Eoptolink's current 800G or 1.6T production.","companies":["eoptolink"],"source_ids":["eoptolink-400g-teardown-2026-09-19"],"evidence":"measured","added_at":"2026-09-19","correction_of":null},{"slug":"cxmt-nand-2026-09-18","published_at":"2026-09-18","event_date":null,"title":"CXMT reportedly prepares to enter NAND with a Beijing R&D production line","summary":"Reuters reports that CXMT plans a NAND flash R&D production line at its new Beijing plant and has discussed prospective AI-system storage customers, extending beyond its core DRAM business.","impact":"The plan would broaden China's domestic memory base and put CXMT into YMTC's main market, but it is not commercial-production evidence. Reuters could not establish when the line would operate or whether CXMT would proceed beyond research and trial production; CXMT did not comment.","companies":["cxmt","ymtc"],"source_ids":["cxmt-nand-2026-09-18"],"evidence":"reported","added_at":"2026-09-18","correction_of":null},{"slug":"huawei-connect-2026-09-17","published_at":"2026-09-17","event_date":"2026-09-17","title":"Huawei updates its 2027 accelerator roadmap and reports supernode shipments","summary":"Huawei said the 960DT is planned for the first quarter of 2027 and the Ascend 960PR for the third quarter. It also said it had shipped more than 1,000 supernodes to more than 370 customers.","impact":"The shipment claim is evidence of company-reported system scale, not independent operational performance. Huawei did not identify customers, disclose chips per shipped system or provide acceptance, utilization, workload, power, reliability or interconnect-performance data. The 2027 launch dates are expected milestones and do not establish delivery.","companies":["huawei"],"source_ids":["huawei-connect-2026-09-17"],"evidence":"reported","added_at":"2026-09-17","correction_of":null},{"slug":"huawei-supply-scale-2026-09-17","published_at":"2026-09-17","event_date":"2026-09-17","title":"Huawei reports domestic supply constraints and commercial Ascend 950 systems","summary":"Huawei said it could not meet Chinese demand for AI computing equipment, Ascend 950 systems had entered commercial use and more than 1,000 earlier Ascend 910C systems had been deployed. It also described Peerium and an Ascend 960 supernode intended to scale to much larger processor counts.","impact":"The supply shortfall is direct evidence that fabrication and system capacity remain constraints. Commercial-use, deployment and architecture claims are company evidence, not independent operational performance. Huawei did not provide order, capacity, customer-acceptance, utilization, workload, power, reliability or interconnect-performance data. Scale targets do not establish delivery.","companies":["huawei"],"source_ids":["huawei-connect-2026-09-17"],"evidence":"reported","added_at":"2026-09-18","correction_of":null},{"slug":"metax-atria-2026-09-14","published_at":"2026-09-14","event_date":"2026-09-14","title":"MetaX reports same-day adaptation of ATRIA Dawn Preview","summary":"MetaX says its GPU and MXMACA stack supported ATRIA Dawn Preview on the model's release day. It also reports 37 flagship-model Day-0 adaptations since December 2025 and full support for PyTorch 2.8's 2,410 GPU operators.","impact":"The disclosure is evidence of software coverage and adaptation cadence, not an independent application benchmark or proof of correctness, maintainability or CUDA parity.","companies":["metax"],"source_ids":["metax-atria-2026-09-14"],"evidence":"vendor","added_at":"2026-09-16","correction_of":null},{"slug":"cioe-optics-2026-09-11","published_at":"2026-09-11","event_date":null,"title":"CIOE reporting distinguishes optical-module shipment ramps from next-generation samples","summary":"National Business Daily reports InnoLight's claim of scaling 1.6T shipments and Eoptolink's claim that second-quarter 1.6T shipments exceeded the first quarter. Eoptolink expects faster second-half growth; this remains guidance, not a completed result.","impact":"Shipment progress strengthens the optics commercialization case, but does not establish domestic component independence. Separately displayed higher-rate samples are not volume deliveries.","companies":["innolight","eoptolink"],"source_ids":["cioe-optics-2026-09-11"],"evidence":"reported","added_at":"2026-09-12","correction_of":null},{"slug":"enflame-2026-09-11","published_at":"2026-09-11","event_date":null,"title":"Enflame enters Shanghai’s public market","summary":"The accelerator company completed an approximately $912 million IPO.","impact":"Watch whether additional capital translates into broader customer adoption.","companies":["enflame"],"source_ids":["enflame-ipo"],"evidence":"reported","added_at":"2026-09-11","correction_of":null},{"slug":"biren-shanghai-lab-2026-09-02","published_at":"2026-09-10","event_date":"2026-09-02","title":"Biren and Shanghai University establish a joint intelligent-chip laboratory","summary":"Biren reports a September 2 agreement with Shanghai University. Planned joint research includes AI-chip optical interconnects and cooling technologies.","impact":"Adds a research and talent-development channel; the agreement does not demonstrate a qualified optical interconnect or production cooling system.","companies":["biren"],"source_ids":["biren-shanghai-lab-2026-09-10"],"evidence":"vendor","added_at":"2026-09-12","correction_of":null},{"slug":"hbm-2026-09-10","published_at":"2026-09-10","event_date":null,"title":"Memory constraints reach accelerator pricing","summary":"HBM shortages are raising Chinese accelerator prices.","impact":"Domestic memory qualification remains a key condition for expanding compute economically.","companies":["huawei","cambricon","cxmt","iluvatar","metax"],"source_ids":["hbm-reuters"],"evidence":"reported","added_at":"2026-09-11","correction_of":null},{"slug":"huawei-china-unicom-2026-09-10","published_at":"2026-09-10","event_date":"2026-09-10","title":"Huawei reports China Unicom deployment and Ascend 950 adaptation work","summary":"Huawei said China Unicom had deployed Ascend compute at scale, put a 384-NPU supernode into service and was adapting Ascend 950 for Unicom Cloud.","impact":"This supplies a named operator example but remains Huawei's account rather than an independent customer result. It does not disclose deployed accelerator counts beyond the supernode class, acceptance criteria, utilization, workload performance, uptime, power or recovery behavior.","companies":["huawei"],"source_ids":["huawei-china-unicom-2026-09-10"],"evidence":"vendor","added_at":"2026-09-17","correction_of":null},{"slug":"kunlunxin-minicpm-2026-09-10","published_at":"2026-09-10","event_date":null,"title":"Kunlunxin and FlagOS publish a MiniCPM5-2B deployment image","summary":"Kunlunxin says it completed MiniCPM5-2B adaptation and inference validation with FlagOS and published a BF16 deployment image through ModelScope and Hugging Face.","impact":"The downloadable image is concrete compatibility evidence. It does not supply reproducible throughput, latency, power, accuracy or foreign-hardware comparison data.","companies":["kunlunxin"],"source_ids":["kunlunxin-minicpm-2026-09-10"],"evidence":"vendor","added_at":"2026-09-16","correction_of":null},{"slug":"hwatsing-panel-cmp-2026-09-09","published_at":"2026-09-09","event_date":null,"title":"Hwatsing ships panel-level CMP equipment to an advanced-packaging line","summary":"SEMI China, citing Hwatsing's company announcement, reports that the Master-P510APEX automated panel-level CMP system was shipped to an advanced-packaging production line for use.","impact":"The shipment is a commercialization milestone for a domestic packaging-process tool, but the disclosure does not identify the customer or provide acceptance, yield, uptime, throughput, installed-base or volume-production evidence.","companies":["hwatsing"],"source_ids":["hwatsing-panel-cmp-2026-09-09"],"evidence":"reported","added_at":"2026-09-14","correction_of":null},{"slug":"moore-threads-jd-cloud-2026-09-09","published_at":"2026-09-09","event_date":"2026-09-09","title":"JD Cloud announces planned 100,000-GPU cluster based on Moore Threads","summary":"JD Cloud and Moore Threads announced an intended 100,000-card full-function GPU cluster for model training, inference and embodied-AI workloads.","impact":"The target would be a major domestic scale milestone if built, but the announcement is a plan, not delivery or acceptance evidence. It gives no schedule, GPU model, completed card count, topology, interconnect, power, failure-recovery data or workload result.","companies":["moore-threads"],"source_ids":["moore-threads-jd-cloud-2026-09-09"],"evidence":"vendor","added_at":"2026-09-16","correction_of":null},{"slug":"duv-2026-09-08","published_at":"2026-09-08","event_date":null,"title":"Domestic lithography effort extends across components","summary":"Reporting identifies Yuliangsheng, Zhiqi, and RSLaser in the local supply-chain effort.","impact":"The next meaningful gate is sustained fab qualification.","companies":["yuliangsheng","zhiqi","rslaser","huawei"],"source_ids":["duv-ft"],"evidence":"reported","added_at":"2026-09-11","correction_of":null},{"slug":"biren-2026-h1-summary","published_at":"2026-09-07","event_date":null,"title":"Biren's half-year summary reports revenue growth alongside continuing losses","summary":"Biren's published infographic reports first-half 2026 revenue of RMB 1.236 billion, up 1,997.6% year on year, and a loss for the period of RMB 377 million. R&D expenditure was RMB 804 million. It also reports supplier qualification and batch deliveries to major internet customers without naming them in the infographic.","impact":"More concrete commercialization evidence than a product announcement, but company-reported revenue does not establish customer utilization, domestic manufacturing provenance or benchmark parity.","companies":["biren"],"source_ids":["biren-2026-h1"],"evidence":"vendor","added_at":"2026-09-12","correction_of":null},{"slug":"biren-glm-2026-09-07","published_at":"2026-09-07","event_date":null,"title":"Biren reports GLM-5.3-Flash inference adaptation on Bili 166M","summary":"Biren says SGLang and BIRENSUPA on Bili 166M passed functional and accuracy checks for GLM-5.3-Flash, including loading, serving, text question-answering and image understanding.","impact":"A concrete software-compatibility milestone, not an independent throughput, latency, power or training time-to-quality comparison. The announcement's Day0 branding does not establish the exact validation date.","companies":["biren"],"source_ids":["biren-glm-2026-09-07"],"evidence":"vendor","added_at":"2026-09-12","correction_of":null},{"slug":"biren-torchsupa-2026-08-28","published_at":"2026-09-07","event_date":"2026-08-28","title":"Biren announces TorchSUPA PyTorch backend plugin","summary":"Biren's September 7 account of an August 28 ecosystem meetup says it released TorchSUPA, a PyTorch PrivateUse1 backend plugin for Biren GPUs, with support for common APIs, collective communication and FSDP2, graph capture and profiling.","impact":"A public backend can reduce framework-integration and migration friction, but Biren's claims about CUDA-style code reuse do not establish operator coverage, correctness, performance, upstream acceptance or CUDA parity. No public code repository was identified in this review.","companies":["biren"],"source_ids":["biren-torchsupa-2026-09-07"],"evidence":"vendor","added_at":"2026-09-14","correction_of":null},{"slug":"pytorch-china-2026-09-08","published_at":"2026-09-07","event_date":"2026-09-08","title":"Cambricon joins PyTorch Foundation governance as accelerator integration broadens","summary":"The PyTorch Foundation says Cambricon joined as a Platinum member, gaining seats on its Governing Board and Technical Advisory Council. It reports Cambricon contributions across torch.compile, runtime, distributed computing and related areas. Huawei already holds Platinum membership and co-chairs the Foundation's Accelerator Integration Working Group.","impact":"Upstream governance and device-agnostic integration work can reduce software-porting friction for non-NVIDIA accelerators. Membership and contribution scope do not establish performance, deployment scale or parity with CUDA.","companies":["cambricon","huawei"],"source_ids":["pytorch-cambricon-2026-09-07","pytorch-china-2026-09-09"],"evidence":"primary","added_at":"2026-09-13","correction_of":null},{"slug":"amec-cseac-2026-09-01","published_at":"2026-09-05","event_date":"2026-09-01","title":"AMEC expands its process-tool portfolio with six CSEAC launches","summary":"Science and Technology Daily reports six AMEC launches spanning very-high-aspect-ratio etch, PECVD, ALD, metal-film deposition and silicon-carbide epitaxy. Reported product claims include 70:1–90:1 etch aspect ratios and a PECVD system processing up to 16 wafers concurrently.","impact":"The launches broaden AMEC beyond its core etch position into process steps relevant to advanced memory and logic. Announced specifications and portfolio breadth are not evidence of customer qualification, production yield, uptime or a sovereign end-to-end fab process.","companies":["amec"],"source_ids":["amec-cseac-2026-09-05"],"evidence":"reported","added_at":"2026-09-13","correction_of":null},{"slug":"h3c-odx-2026-09-02","published_at":"2026-09-04","event_date":"2026-09-02","title":"H3C presents open interconnect work and an awarded DDC deployment","summary":"H3C says it is contributing to G-Link and ODCC standards, supporting standardized XPU modules and open optical interfaces, and that its DDC lossless-network project with Xiaohongshu received a 2026 ODX project award.","impact":"The disclosure adds evidence of customer deployment and domestic work on open scale-up and scale-out integration. It does not provide a matched InfiniBand workload benchmark, congestion or recovery data, cluster topology, switch-silicon provenance or independent customer measurements.","companies":["h3c"],"source_ids":["h3c-odx-2026-09-04"],"evidence":"primary","added_at":"2026-09-14","correction_of":null},{"slug":"cxmt-2026-08-31","published_at":"2026-08-31","event_date":null,"title":"HBM milestone reported at CXMT","summary":"Reports describe initial HBM3E progress.","impact":"Track customer acceptance and production yield.","companies":["cxmt"],"source_ids":["cxmt-hbm"],"evidence":"reported","added_at":"2026-09-11","correction_of":null},{"slug":"naura-2026-h1-scale","published_at":"2026-08-26","event_date":null,"title":"NAURA reports thousand-unit delivery scale in three semiconductor-equipment categories","summary":"NAURA's half-year report says cumulative deliveries exceeded 1,000 units in each of etch, PVD and vertical furnace systems. It reported RMB 20.161 billion of first-half revenue and says hybrid-bonding and high-end TSV electroplating tools were rolled out.","impact":"The delivery counts show breadth and commercial scale across several process steps relevant to domestic fabs and advanced packaging. They do not establish advanced-node qualification, customer yield, production volume for the new tools or domestic provenance of critical components.","companies":["naura"],"source_ids":["naura-2026-h1-report"],"evidence":"vendor","added_at":"2026-09-15","correction_of":null},{"slug":"jcet-2026-h1-advanced-packaging","published_at":"2026-08-21","event_date":null,"title":"JCET reports XDFOI volume production and silicon-photonics customer validation","summary":"JCET's half-year report says its XDFOI high-density heterogeneous-integration platform reached volume production and XDFOI-based silicon-photonics engine samples passed customer validation. Computing-electronics revenue grew 40.4% year over year to 30.1% of company revenue.","impact":"The filing advances the record from research capability to company-reported production and customer validation. It does not disclose frontier compute-plus-HBM package yield, capacity, thermal performance or the production volume of silicon-photonics products.","companies":["jcet"],"source_ids":["jcet-2026-h1-report"],"evidence":"vendor","added_at":"2026-09-15","correction_of":null},{"slug":"amec-2026-h1-qualification","published_at":"2026-08-20","event_date":null,"title":"AMEC reports production deployment and repeat orders across etch and tungsten deposition","summary":"AMEC's half-year report says three ICP etch product families were in volume production on lines at more than 50 customers. It also reports stable production use of its LUX-Cryo etcher, multiple repeat orders for another advanced etcher, and onsite validation plus repeat production orders for tungsten deposition systems at key memory and logic customers.","impact":"This is stronger commercial evidence than a product launch because it includes production-line, validation and repeat-order claims. It remains company-reported: customers, process nodes, yield, uptime, throughput, installed capacity and revenue by tool were not disclosed.","companies":["amec"],"source_ids":["amec-2026-h1-report"],"evidence":"vendor","added_at":"2026-09-15","correction_of":null},{"slug":"moore-threads-2026-h1-scale","published_at":"2026-08-10","event_date":null,"title":"Moore Threads reports first-half revenue scale and a delivered KUAE cluster contract","summary":"Moore Threads' half-year report says revenue reached RMB 1.736 billion, up 147.42% year over year, while attributable net loss narrowed to RMB 11.56 million. It says a RMB 660 million KUAE cluster sales contract was fully delivered and recognized as revenue.","impact":"The delivered contract is stronger commercialization evidence than a roadmap announcement. It remains company-reported and does not disclose the customer, accepted card count, topology, workload results, power, uptime or production economics.","companies":["moore-threads"],"source_ids":["moore-threads-2026-h1-report"],"evidence":"vendor","added_at":"2026-09-16","correction_of":null},{"slug":"duv-2026-07-28","published_at":"2026-07-28","event_date":null,"title":"Initial domestic immersion DUV tools enter production","summary":"Reuters identifies Aishengna as the production coordinator.","impact":"Machine output alone does not establish high-volume wafer production.","companies":["aishengna","smee","yuliangsheng","smic"],"source_ids":["duv-reuters"],"evidence":"reported","added_at":"2026-09-11","correction_of":null},{"slug":"ascend-science-2026-07-22","published_at":"2026-07-22","event_date":null,"title":"Pengcheng Laboratory measures Ascend 910 scientific-computing workloads","summary":"A Pengcheng Laboratory preprint measures Ascend 910A, 910B and 910C across scientific kernels and five applications. A tuned 910C implementation completed one 30-qubit, 30-layer quantum-simulation benchmark in 11.4 seconds versus 14.3 seconds on an NVIDIA A800 using cuQuantum.","impact":"This is useful non-vendor workload evidence and includes both favorable results and documented vector- and memory-bound limits. It is not evidence of frontier AI training or inference parity: implementations and algorithms differ across some comparisons, the GPU controls are export-limited A800/H800 rather than current frontier hardware, and the paper depends on workload-specific tuning.","companies":["huawei"],"source_ids":["ascend-science-2026-07-22"],"evidence":"measured","added_at":"2026-09-21","correction_of":null},{"slug":"field-2026-07-09","published_at":"2026-07-09","event_date":null,"title":"Field study documents Ascend integration work","summary":"An independent preprint reports patches and workarounds on a 16-device Ascend 910 deployment.","impact":"Useful operational evidence; it does not test the latest 950 series or provide a matched NVIDIA control.","companies":["huawei"],"source_ids":["ascend-field"],"evidence":"measured","added_at":"2026-09-11","correction_of":null},{"slug":"m890-2026-05-20","published_at":"2026-05-20","event_date":null,"title":"Alibaba announces Zhenwu M890","summary":"Alibaba announced the Zhenwu M890 and Panjiu AL128 rack system. T-Head said it had shipped more than 560,000 Zhenwu units and that more than 400 external customers across 20 industries had deployed the chips; the disclosure did not break out product generations or operating metrics.","impact":"The shipment and customer counts are evidence of reported deployment scale, not independent workload performance or sovereign supply. Watch measured utilization and economics rather than undisclosed vendor multipliers.","companies":["thead"],"source_ids":["m890"],"evidence":"reported","added_at":"2026-09-11","correction_of":null},{"slug":"fp4-2026-04-09","published_at":"2026-04-09","event_date":null,"title":"Huawei publishes FP4 pretraining research","summary":"The study tests dense and MoE models on Ascend.","impact":"Training feasibility is advancing; the paper is not an independent frontier throughput benchmark.","companies":["huawei"],"source_ids":["hifloat4"],"evidence":"vendor","added_at":"2026-09-11","correction_of":null},{"slug":"optics-2026-03-11","published_at":"2026-03-11","event_date":null,"title":"Optical modules retain international component links","summary":"Eoptolink describes 1.6T transceivers using Broadcom DSPs.","impact":"Module competitiveness and complete supply independence need separate assessments.","companies":["eoptolink"],"source_ids":["eop-dsp"],"evidence":"vendor","added_at":"2026-09-11","correction_of":null},{"slug":"s60-2026-02-03","published_at":"2026-02-03","event_date":null,"title":"Teardown identifies Enflame S60 manufacturing route","summary":"TechInsights identifies a TSMC N6 compute chiplet.","impact":"Chinese design does not alone establish domestic fabrication.","companies":["enflame"],"source_ids":["enflame-teardown"],"evidence":"measured","added_at":"2026-09-11","correction_of":null},{"slug":"euv-2025-12-17","published_at":"2025-12-17","event_date":null,"title":"EUV prototype reported, with chip production still ahead","summary":"Reuters reports a light-generating prototype in a national research effort.","impact":"Track working wafers, then production throughput and reliability.","companies":["huawei","ciomp"],"source_ids":["euv-reuters"],"evidence":"reported","added_at":"2026-09-11","correction_of":null},{"slug":"smic-2025-12-11","published_at":"2025-12-11","event_date":null,"title":"Teardown characterizes SMIC N+3","summary":"Independent measurements identify a scaled 7nm-family process.","impact":"Process labels should be tested against density, yield, and economics.","companies":["smic"],"source_ids":["smic-teardown"],"evidence":"measured","added_at":"2026-09-11","correction_of":null}],"briefings":[{"slug":"weekly-2026-09-14-complete","cadence":"weekly","period_start":"2026-09-14","period_end":"2026-09-20","through_date":"2026-09-20","published_at":"2026-09-21","status":"complete","title":"Systems and commodity memory advance; capacity and components still bind","summary":"Huawei's scale-up roadmap and CXMT's fifth-generation DRAM milestone strengthen the case for useful domestic compute and memory capacity, while Huawei's own supply warning, the absence of an HBM milestone and a sampled optical module's US silicon show that sovereignty still lags.","sections":[{"heading":"Huawei is compensating at system scale, but cannot meet demand","body":"Huawei advanced its 2027 roadmap, targeting the Ascend 960DT for the first quarter and 960PR for the third, while describing a 4,096-processor Ascend 960 supernode and a longer-term Peerium architecture intended to link as many as one million processors. It also reported more than 1,000 deployments of systems using Ascend 910C and commercial Ascend 950 use. These claims indicate a deliberate strategy of offsetting weaker individual processors through scale-up and scale-out, but Huawei supplied no matched workload, utilization, power, reliability or interconnect measurements. Its statement that production cannot satisfy Chinese demand is the week's clearest evidence that production and system supply still constrain adoption.","source_ids":["huawei-connect-2026-09-17"]},{"heading":"CXMT crossed a commodity-DRAM manufacturing milestone, not an HBM one","body":"CXMT said its fifth-generation DRAM platform and two 24 Gb LPDDR5X products entered mass production using quadruple patterning and an 11.95 nm active-area half-pitch. Its claimed at-least-50% improvement is in gross potential dies per wafer before defective units are excluded, not tested yield. Customers, output, reliability and equipment suppliers were not disclosed. The result is meaningful for China's broad memory manufacturing base, but LPDDR5X does not resolve the separate requirement for customer-qualified HBM at competitive bandwidth, yield and volume.","source_ids":["cxmt-g5-dram-2026-09-20"]},{"heading":"Capital is broadening memory ambitions before production evidence","body":"Reuters reported that CXMT, after raising $8.6 billion in its July IPO, plans a Beijing NAND research and trial-production line and has discussed prospective AI-storage customers. YMTC's parent is separately pursuing a large Shanghai listing. This concentration of state, local and public-market capital can widen China's memory base, but CXMT gave no operating date or commitment to commercial NAND output. Financing capacity, R&D lines and qualified volume remain distinct milestones.","source_ids":["cxmt-nand-2026-09-18"]},{"heading":"Optical modules remain stronger than their component sovereignty","body":"A teardown directly identified a Marvell PAM4 DSP and several Analog Devices power and analog components in one Eoptolink 400G DR4+2km module. This supports the prior week's evidence that Chinese suppliers can scale module assembly faster than they can replace high-speed DSPs. The sample was anonymous and undated, and it cannot establish the bill of materials for Eoptolink's current 800G or 1.6T products; the author's inferred laser identification is excluded.","source_ids":["eoptolink-400g-teardown-2026-09-19","cioe-optics-2026-09-11"]},{"heading":"Software adaptation improved without a performance comparison","body":"MetaX reported same-day support for ATRIA Dawn Preview, 37 Day-0 model adaptations since December 2025 and coverage of PyTorch 2.8's 2,410 GPU operators. Huawei separately reported more than 5,200 monthly Ascend software developers and more than 40 models trained directly on its platform. These disclosures indicate widening compatibility and ecosystem activity, but do not independently establish correctness, maintainability, developer productivity or CUDA parity.","source_ids":["metax-atria-2026-09-14","huawei-connect-2026-09-17"]},{"heading":"Specialized measurements improved; frontier benchmark evidence did not","body":"A Pengcheng Laboratory preprint available before the period measured five scientific workloads across Ascend 910A/B/C. Its tuned 910C quantum-simulation implementation took 11.4 seconds versus 14.3 seconds on A800 with cuQuantum, while vector- and memory-bound kernels remained constrained. The study depends on workload-specific optimization, sometimes compares different algorithms or implementations and uses export-limited A800/H800 controls. At publication, a clearly post-period check of MLPerf v6.0 and InferenceX still found no matched current Chinese result against Rubin, GB300, MI355X or TPU v7 for AI model training or inference.","source_ids":["ascend-science-2026-07-22","mlperf-training","mlperf-inference","inferencex"]},{"heading":"Forecast implications","body":"No dated forecast changes. Huawei's system roadmap reinforces the existing 2027-2030 view that aggregate Chinese capability can become more competitive while requiring more hardware and power, but supply constraints and absent operating data limit confidence. CXMT's commodity-DRAM milestone supports progress in memory manufacturing without moving the HBM forecast. The Eoptolink sample strengthens, rather than resolves, the foreign-component caveat attached to China's optical-module strength. Frontier pretraining, EUV and advanced-fabrication timelines remain unchanged.","source_ids":["huawei-connect-2026-09-17","cxmt-g5-dram-2026-09-20","eoptolink-400g-teardown-2026-09-19","mlperf-training","mlperf-inference","inferencex"]},{"heading":"Next evidence to watch","body":"Prioritize delivered Ascend 950 and 960 configurations with customer utilization, recovery, power and workload data; Huawei capacity and order-fulfillment figures; independent CXMT G5 yield, reliability and customer qualification; customer-qualified domestic HBM; operation and scale-up of CXMT's NAND line; current optical-module component provenance; and reproducible training time-to-quality or inference throughput, latency and energy measurements on current Chinese and frontier foreign hardware.","source_ids":[]}],"news_ids":["metax-atria-2026-09-14","huawei-connect-2026-09-17","huawei-supply-scale-2026-09-17","cxmt-nand-2026-09-18","eoptolink-400g-teardown-2026-09-19","cxmt-g5-dram-2026-09-20"],"source_ids":["ascend-science-2026-07-22","cioe-optics-2026-09-11","cxmt-g5-dram-2026-09-20","cxmt-nand-2026-09-18","eoptolink-400g-teardown-2026-09-19","huawei-connect-2026-09-17","inferencex","metax-atria-2026-09-14","mlperf-inference","mlperf-training"],"coverage_note":"This complete edition covers September 14-20 from six canonical in-period events, their original sources and bounded English and Chinese gap searches across accelerators, memory, optical interconnects, software and manufacturing equipment. Older public evidence is used only as background and is not included in news_ids. Coverage remains incomplete for private deployments, unindexed Chinese disclosures, tenders, individual benchmark artifacts and customer acceptance, yield, utilization, reliability and power data."},{"slug":"weekly-2026-09-07-complete","cadence":"weekly","period_start":"2026-09-07","period_end":"2026-09-13","through_date":"2026-09-13","published_at":"2026-09-14","status":"complete","title":"Modules and software advance; memory and qualification still bind","summary":"Capital, revenue and framework-integration disclosures broaden the evidence for a commercially useful domestic AI stack, while HBM pricing, foreign optical components and missing production metrics show why full sovereignty remains further away.","sections":[{"heading":"Commercialization and software moved together","body":"Enflame completed a roughly RMB 6.12 billion IPO to fund later-generation accelerators, software and systems, but entered the market with continuing losses and heavy Tencent-linked revenue concentration. Biren separately reported RMB 1.236 billion of first-half revenue and RMB 804 million of R&D expense. Its GLM-5.3-Flash validation, TorchSUPA PyTorch backend announcement and Shanghai University laboratory broaden the software and research evidence, but remain company disclosures without matched performance, customer-utilization or production provenance data.","source_ids":["enflame-ipo","biren-2026-h1","biren-glm-2026-09-07","biren-torchsupa-2026-09-07","biren-shanghai-lab-2026-09-10"]},{"heading":"Framework participation is becoming a competitive layer","body":"Cambricon's new Platinum membership and reported contributions across compilation, runtime and distributed computing, alongside Huawei's co-chair role in PyTorch's Accelerator Integration Working Group, show Chinese vendors investing in upstream compatibility rather than relying only on isolated translation layers. Governance seats, backend announcements and functional validation can lower porting friction; they do not demonstrate operator completeness, production reliability or CUDA-level developer experience.","source_ids":["pytorch-cambricon-2026-09-07","pytorch-china-2026-09-09","biren-torchsupa-2026-09-07","biren-glm-2026-09-07"]},{"heading":"HBM remains the clearest system-level constraint","body":"Reuters reported price increases across Huawei, Cambricon, MetaX and Iluvatar accelerators as scarce advanced HBM reached Chinese systems through constrained channels. This is evidence that chip design progress can be throttled by memory availability and cost. The report did not establish customer-qualified domestic HBM at frontier specifications or disclose the provenance of Huawei's reported proprietary memory approach.","source_ids":["hbm-reuters"]},{"heading":"Optical-module strength does not equal component sovereignty","body":"CIOE reporting indicates InnoLight's 1.6T module ramp and higher second-quarter 1.6T shipments at Eoptolink, while 800G remained the volume center and faster generations were largely samples or plans. The same reporting identified tight 3 nm DSP supply and continued Broadcom and Marvell dominance in high-speed DSPs. China can win share at the module layer before replacing every critical semiconductor inside the module.","source_ids":["cioe-optics-2026-09-11"]},{"heading":"Tool shipment and scanner testing have not crossed the qualification gate","body":"Hwatsing's reported shipment of a panel-level CMP system to an advanced-packaging production line adds a concrete commercialization step, but the customer, acceptance, yield, uptime, throughput and production volume were undisclosed. Reporting on Huawei's coordinated domestic DUV effort similarly names local scanner, optics and laser participants without supplying the sustained fab metrics needed to infer an ASML-class production substitute.","source_ids":["hwatsing-panel-cmp-2026-09-09","duv-ft"]},{"heading":"Benchmark evidence did not close the frontier gap","body":"The period added functional model validation and framework-integration evidence, not a matched training or inference comparison. The September 14 review of MLPerf Training and Inference v6.0 listings and InferenceX coverage found no contemporary Chinese result matched against GB300, MI355X or TPU v7 on model, quality, precision, batch, latency, device count, software and power. Absence of a verified public result is not evidence that a system cannot perform the workload.","source_ids":["biren-glm-2026-09-07","mlperf-training","mlperf-inference","inferencex"]},{"heading":"Forecast implications","body":"No dated forecast changes. The module shipment evidence reinforces high confidence in optical networking as China's first global-strength AI-hardware layer, while the foreign DSP constraint preserves the dependency caveat. HBM-linked price pressure reinforces the 2027–2030 memory and packaging bottleneck view. Software integration improves the odds of focused domestic inference substitution, but the lack of matched benchmarks leaves frontier-pretraining and large-system timelines unchanged.","source_ids":["cioe-optics-2026-09-11","hbm-reuters","pytorch-cambricon-2026-09-07","pytorch-china-2026-09-09","mlperf-training","mlperf-inference","inferencex"]},{"heading":"Next evidence to watch","body":"Prioritize named repeat customers and utilization data for accelerators; a maintained public TorchSUPA repository with tested operator coverage; customer-qualified domestic HBM; acceptance, yield, throughput and uptime for packaging and lithography tools; domestic provenance for optical DSPs; and independently reproducible training time-to-quality or inference throughput, latency and energy results on current hardware.","source_ids":[]}],"news_ids":["biren-2026-h1-summary","biren-glm-2026-09-07","biren-torchsupa-2026-08-28","pytorch-china-2026-09-08","duv-2026-09-08","hwatsing-panel-cmp-2026-09-09","hbm-2026-09-10","biren-shanghai-lab-2026-09-02","cioe-optics-2026-09-11","enflame-2026-09-11"],"source_ids":["biren-2026-h1","biren-glm-2026-09-07","biren-shanghai-lab-2026-09-10","biren-torchsupa-2026-09-07","cioe-optics-2026-09-11","duv-ft","enflame-ipo","hbm-reuters","hwatsing-panel-cmp-2026-09-09","pytorch-cambricon-2026-09-07","pytorch-china-2026-09-09","mlperf-training","mlperf-inference","inferencex"],"coverage_note":"The period begins four days before systematic coverage. This complete edition reconstructs September 7–13 from ten canonical events and overlapping English and Chinese searches; it is not an exhaustive census of filings, tenders, private customer deployments or benchmark artifacts. Several milestones are vendor disclosures, and missing customer, qualification and performance details remain explicit."},{"slug":"monthly-2026-09","cadence":"monthly","period_start":"2026-09-01","period_end":"2026-09-30","through_date":"2026-09-11","published_at":"2026-09-11","status":"period-to-date","title":"A broader domestic ecosystem, with concentrated dependencies","summary":"September’s early evidence points toward expanding suppliers and continuing pressure at critical inputs.","sections":[{"heading":"Market structure","body":"The emerging stack spans compute, manufacturing tools, memory, and networking. Companies with anchor customers have a route to deployment learning; dependence on one customer also narrows the evidence of broader competitiveness.","source_ids":[]},{"heading":"Assessment","body":"There is still no verified public comparison establishing parity between the latest Chinese accelerators and the strongest contemporary foreign systems.","source_ids":["mlperf-training","inferencex"]},{"heading":"Watch next","body":"Track changes in customer diversity, memory provenance, and independently measured operating economics.","source_ids":[]}],"news_ids":["enflame-2026-09-11","hbm-2026-09-10","duv-2026-09-08"],"source_ids":["duv-ft","enflame-ipo","hbm-reuters"],"coverage_note":"Initial briefing based on the sourced research baseline; not an exhaustive market census."},{"slug":"quarterly-2026-q3","cadence":"quarterly","period_start":"2026-07-01","period_end":"2026-09-30","through_date":"2026-09-11","published_at":"2026-09-11","status":"period-to-date","title":"Qualification becomes the decisive test","summary":"The quarter-to-date record increasingly turns on whether development milestones become dependable production.","sections":[{"heading":"Industrial progress","body":"Initial domestic DUV production and reported memory progress add important qualification milestones to the watchlist.","source_ids":["duv-reuters","cxmt-hbm"]},{"heading":"Operational evidence","body":"The Ascend field study shows why deployment friction deserves its own measurement alongside chip specifications.","source_ids":["ascend-field"]},{"heading":"Forecast","body":"Expect focused inference and networking gains before broad frontier-training efficiency parity. The longest gaps remain production equipment and sustained advanced-process yield. This is an analytical judgment, not a vendor roadmap.","source_ids":[]}],"news_ids":["enflame-2026-09-11","hbm-2026-09-10","duv-2026-09-08","cxmt-2026-08-31","duv-2026-07-28","field-2026-07-09"],"source_ids":["ascend-field","cxmt-hbm","duv-ft","duv-reuters","enflame-ipo","hbm-reuters"],"coverage_note":"Initial briefing based on the sourced research baseline; not an exhaustive market census."},{"slug":"weekly-2026-09-07","cadence":"weekly","period_start":"2026-09-07","period_end":"2026-09-13","through_date":"2026-09-11","published_at":"2026-09-11","status":"period-to-date","title":"Capital expands; memory remains the constraint","summary":"This week’s evidence strengthens the case for domestic industry growth without resolving component dependence.","sections":[{"heading":"What changed","body":"Enflame’s listing, accelerator pricing pressure, and lithography supply-chain reporting are the principal additions.","source_ids":["enflame-ipo","hbm-reuters","duv-ft"]},{"heading":"What it changes","body":"Financing capacity and production independence must be tracked separately. Additional funding can accelerate development but cannot by itself qualify memory or manufacturing tools.","source_ids":[]},{"heading":"Next evidence to watch","body":"Customer acceptance of new hardware, repeat purchases, and disclosed production metrics would be stronger signals than another peak-performance announcement.","source_ids":[]}],"news_ids":["enflame-2026-09-11","hbm-2026-09-10","duv-2026-09-08"],"source_ids":["duv-ft","enflame-ipo","hbm-reuters"],"coverage_note":"Initial briefing based on the sourced research baseline; not an exhaustive market census."}],"outputs":[{"slug":"mi355x","type":"accelerator","name":"MI355X","vendor":"AMD","region":"Outside China","as_of":"2026-09-11","bf16_pflops":2.5,"hbm_tbps":8,"source_ids":["mi355x"],"note":"Dense BF16 peak; high-power accelerator module."},{"slug":"tpu7","type":"accelerator","name":"TPU v7 / Ironwood","vendor":"Google","region":"Outside China","as_of":"2026-09-11","bf16_pflops":2.307,"hbm_tbps":7.38,"source_ids":["tpu7"],"note":"Per marketed chip, containing two compute chiplets."},{"slug":"910c","type":"accelerator","name":"Ascend 910C","vendor":"Huawei","region":"China","as_of":"2026-09-11","bf16_pflops":0.752,"hbm_tbps":3.2,"source_ids":["cloudmatrix"],"note":"Dual-die accelerator package; specifications from the 2025 paper."},{"slug":"950pr","type":"accelerator","name":"Atlas 350 / 950PR","vendor":"Huawei","region":"China","as_of":"2026-09-11","bf16_pflops":0.425,"hbm_tbps":1.4,"source_ids":["atlas350"],"note":"Inference/prefill-oriented PCIe card, up to 600 W."},{"slug":"gb300","type":"accelerator","name":"Blackwell Ultra / GB300","vendor":"NVIDIA","region":"Outside China","as_of":"2026-09-11","bf16_pflops":2.5,"hbm_tbps":8,"source_ids":["gb300"],"note":"Per GPU, derived from 72-GPU system totals; sparsity removed from BF16 peak."}],"layers":[{"slug":"lithography","name":"Lithography","reference":"ASML / Nikon","status":"Bottleneck","assessment":"Prototype and early tool deliveries do not establish reliable volume production.","source_ids":["duv-reuters","euv-reuters"]},{"slug":"optics","name":"Optics & light sources","reference":"Zeiss / TRUMPF / Cymer","status":"Bottleneck","assessment":"Projection optics, stable light sources, and precision integration remain difficult.","source_ids":["duv-ft","siom"]},{"slug":"equipment","name":"Process equipment","reference":"Applied Materials / Lam / TEL","status":"Developing","assessment":"Domestic suppliers cover substantial etch, deposition, cleaning and polishing work.","source_ids":["naura","acm","hwatsing"]},{"slug":"metrology","name":"Inspection & metrology","reference":"KLA / Hitachi High-Tech","status":"Bottleneck","assessment":"Inspection sensitivity, overlay, and process control determine usable yield.","source_ids":["skyverse"]},{"slug":"eda","name":"Design software","reference":"Synopsys / Cadence / Siemens EDA","status":"Developing","assessment":"Replacing individual tools is easier than qualifying a complete frontier design flow.","source_ids":["empyrean"]},{"slug":"foundry","name":"Foundry","reference":"TSMC","status":"Bottleneck","assessment":"Domestic advanced logic works, but yield, capacity and process scaling constrain economics.","source_ids":["smic-teardown","tsmc"]},{"slug":"packaging","name":"Advanced packaging","reference":"TSMC CoWoS / ASE / Amkor","status":"Developing","assessment":"Large compute dies and HBM must be integrated at production yield.","source_ids":["jcet"]},{"slug":"memory","name":"Memory & storage","reference":"SK hynix / Samsung / Micron","status":"Bottleneck","assessment":"NAND is a relative strength; sufficient qualified HBM is the immediate compute constraint.","source_ids":["ymtc","cxmt","hbm-reuters"]},{"slug":"accelerators","name":"AI accelerators","reference":"NVIDIA / AMD / Google TPU","status":"Developing","assessment":"Commercial alternatives are advancing faster than independently demonstrated frontier parity.","source_ids":["ascend","mlperf-training","inferencex"]},{"slug":"networking","name":"Networking & interconnects","reference":"NVLink / InfiniBand / Broadcom","status":"Developing","assessment":"Scale-up fabrics and Ethernet RDMA can compensate for some device limitations.","source_ids":["cloudmatrix","h3c"]},{"slug":"photonics","name":"Optical networking","reference":"Coherent / Lumentum ecosystem","status":"Competitive","assessment":"Chinese module suppliers compete globally, with continuing foreign-component dependencies.","source_ids":["innolight","eop-dsp"]},{"slug":"software","name":"AI software stack","reference":"CUDA / cuDNN / NCCL","status":"Developing","assessment":"Kernel coverage, correctness, and recovery determine effective hardware performance.","source_ids":["ascend","ascend-field","mthreads"]}],"benchmarks":{"headline":"No verified latest-versus-latest independent comparison","assessment":"Follow-up through September 22 did not verify a matched independent comparison of current Chinese accelerators against Rubin, GB300, MI355X, TPU v7, or OpenAI Jalapeño. The review checked MLPerf v6.0 repository heads and submitter listings plus InferenceX's published coverage, not every result artifact. A Pengcheng Laboratory preprint adds measured Ascend 910C scientific-computing results against A800/H800 controls, but it is not a model-training or inference comparison and does not use current frontier foreign hardware. Absence of a verified public result is not evidence of incapability.","reviewed_at":"2026-09-22","comparison":{"title":"DeepSeek-R1 on Ascend 910C and H100","date":"2025-06","evidence":"vendor","source_ids":["cloudmatrix"],"rows":[{"metric":"Prefill tokens/s per accelerator","china":"5,655","outside":"6,288"},{"metric":"Decode tokens/s per accelerator","china":"1,943","outside":"2,172"},{"metric":"Decode time per output token","china":"49.4 ms","outside":"55.6 ms"}],"caveats":"Vendor/partner measurements versus published NVIDIA baselines. INT8 versus FP8, different decode batches, and speculative-decoding assumptions prevent a universal ratio. Perfect expert-balancing results are projections."},"studies":[{"title":"Ascend 910 scientific-computing study","evidence":"measured","date":"2026-07-22","finding":"Pengcheng Laboratory measured Ascend 910A/B/C across scientific kernels and five applications. In one matched quantum-simulation case, a tuned 910C implementation completed a 30-qubit, 30-layer circuit in 11.4 seconds versus 14.3 seconds on A800 with cuQuantum. The study also reports weaker vector and memory-bound behavior, relies on workload-specific optimization, compares against export-limited A800/H800 rather than current frontier chips, and does not establish AI model-training or inference parity.","source_ids":["ascend-science-2026-07-22"]},{"title":"Biren GLM-5.3-Flash functional validation","evidence":"vendor","date":"2026-09-07","finding":"Vendor reports functional and accuracy checks on Bili 166M with SGLang and BIRENSUPA. Compatibility evidence only; no matched foreign-hardware throughput, latency or power comparison.","source_ids":["biren-glm-2026-09-07"]},{"title":"MLPerf Training / Inference v6.0","evidence":"standardized","date":"2026","finding":"Standardized submitter-run results; no matched latest Chinese-versus-foreign comparison established in this baseline.","source_ids":["mlperf-training","mlperf-inference"]},{"title":"InferenceX","evidence":"measured","date":"Continuous","finding":"Reproducible independent inference runs. The current dashboard names Rubin, GB300, MI355X, TPU v7 and OpenAI Jalapeño systems; equivalent current Chinese results were not verified.","source_ids":["inferencex"]},{"title":"Ascend operational field study","evidence":"measured","date":"2026-07","finding":"A small independent preprint documents deployment friction on older Ascend 910 devices. No matched NVIDIA control.","source_ids":["ascend-field"]},{"title":"HiFloat4 pretraining","evidence":"vendor","date":"2026-04","finding":"Demonstrates training progress on dense and MoE models; does not measure frontier time-to-quality against foreign hardware.","source_ids":["hifloat4"]}]},"overview":{"thesis":"Useful domestic AI compute is advancing faster than full supply-chain independence.","description":"Inference and networking lead. HBM and production equipment constrain scale.","as_of":"2026-09-11","sovereignty":[{"title":"Chinese design","body":"Who designs and controls the chip architecture and software?"},{"title":"Domestic fabrication","body":"Where are the compute dies, memory, and packages manufactured?"},{"title":"Replenishable supply chain","body":"Can production expand without foreign tools, components, materials, or replacement parts?"}],"forecasts":[{"area":"Optical networking","horizon":"Now–2028","view":"An existing global strength, with continued foreign-component dependencies.","confidence":"High","source_ids":["innolight","eop-dsp"]},{"area":"Focused inference","horizon":"2026–2029","view":"Substantial domestic substitution and selective cost/performance wins on established workloads.","confidence":"High domestically; medium globally","source_ids":[]},{"area":"Large accelerator systems","horizon":"2027–2030","view":"More competitive aggregate capability, often with higher hardware and power requirements.","confidence":"Medium","source_ids":["cloudmatrix"]},{"area":"HBM and advanced packaging","horizon":"2027–2030","view":"Useful domestic volume can improve before parity with the fastest contemporary memory.","confidence":"Medium","source_ids":[]},{"area":"Frontier pretraining","horizon":"Late 2020s","view":"Viable domestic training expands, while efficiency, software flexibility and reliability remain disadvantages.","confidence":"Medium","source_ids":[]},{"area":"EUV and frontier fabrication","horizon":"Into the 2030s","view":"First successful chips can precede commercially competitive manufacturing by years.","confidence":"High on direction; low on dates","source_ids":[]}],"change_mind":["Customer-qualified domestic HBM at scale","Domestic scanners publishing sustained yield, overlay, throughput, and uptime","Independent large-cluster training results with time-to-quality and energy use"]},"state":{"schema_version":2,"baseline_date":"2026-09-11","last_research_at":"2026-09-22","last_automated_run_at":"2026-09-22","last_run_status":"updated","coverage":"The September 15-22 overlap sweep covered all priority-1 companies and the three oldest-reviewed remaining profiles in English and Chinese, then added today's T-Head roadmap change and newly tracked Ligent financing and capacity evidence. Search-only coverage did not advance other company review dates. Coverage remains incomplete for private deployments, unindexed Chinese disclosures, tenders, undisclosed customer and production metrics, and individual benchmark artifacts.","timezone":"Europe/London","runs":[{"date":"2026-09-12","status":"partial","companies":["aishengna","amec","cambricon","cxmt","enflame","eoptolink","huawei","innolight","naura","smic","ymtc","yuliangsheng","acm","biren","ciomp"],"summary":"These 15 companies were screened, not all fully revalidated. Read original CIOE reporting and optical suppliers' public sites; added reported shipment progression for InnoLight and Eoptolink. Read Biren's dated primary announcements; added software-validation and research-laboratory events, preserving the distinction between publication and event dates. Reviewed the indexed original September 11 Reuters Enflame report and added planned use of IPO proceeds without duplicating its existing IPO event. Only these four company review dates advanced. Priority-company searches also revisited the September 10 HBM pricing report and July DUV reporting; no additional chip-performance or qualified-tool claim was accepted. AMEC's official site and the full Financial Times DUV article could not be retrieved. Follow up AMEC's six-tool announcement, the DUV testing chronology, reported optical-module export restrictions, and memory/equipment filings; do not infer qualification from headlines. Downloaded and visually checked Biren's primary half-year infographic; added its revenue, loss, R&D and unnamed-customer delivery claims with vendor attribution, not an independent audit. ACM and CIOMP searches did not establish a verified new qualifying milestone; their profile dates remain unchanged. Checked MLPerf Training v6.0 repository listings, Inference v6.0 closed-submitter listings via GitHub, and InferenceX's public coverage. No matched current China-versus-frontier result was verified; individual result artifacts were not exhaustively audited. Historical news, period briefings, forecasts and accelerator specifications are retained. Research scope is partial independently of GitHub sync or Cloudflare publication status.","source_ids":["cioe-optics-2026-09-11","biren-2026-h1","biren-glm-2026-09-07","biren-shanghai-lab-2026-09-10","enflame-ipo","hbm-reuters","duv-reuters","mlperf-training","mlperf-inference","inferencex"]},{"date":"2026-09-13","status":"updated","companies":["aishengna","amec","cambricon","cxmt","enflame","eoptolink","huawei","innolight","naura","smic","ymtc","yuliangsheng","acm","ciomp","empyrean"],"summary":"Screened all priority-1 profiles and the three oldest-reviewed non-priority profiles with overlapping English and Chinese searches. Added PyTorch Foundation primary evidence that Cambricon joined as a Platinum member with Governing Board and Technical Advisory Council representation and reported upstream work across compile, runtime and distributed areas. Added Huawei's existing Platinum membership and co-chair role in the Foundation's Accelerator Integration Working Group. These are ecosystem and governance signals, not performance results. Closed the prior AMEC follow-up using detailed Science and Technology Daily reporting on six CSEAC launches across etch, PECVD, ALD, metal-film deposition and silicon-carbide epitaxy; kept specifications distinct from customer qualification and volume-production evidence. Reviewed current official portfolio and news pages for ACM Research Shanghai, CIOMP and Empyrean; no new qualifying production, customer or complete-flow milestone was verified, so their facts were unchanged while their actual review dates advanced. Rechecked the Financial Times DUV story, HBM pricing coverage, the September 11 optics report and Enflame's IPO follow-up during the overlap window; no additional claim was accepted. Reviewed the FCC's final component-rule coverage but did not attach an entity-specific restriction to InnoLight or Eoptolink because the rule did not name them. MLPerf Training and Inference v6.0 repository heads were unchanged, and the closed inference submitter list still showed no matched current Chinese accelerator. InferenceX coverage still did not supply an equivalent Chinese result. No independent latest-versus-latest parity claim was added. Historical news, reports, forecasts, evidence labels and prior run records were preserved.","source_ids":["pytorch-cambricon-2026-09-07","pytorch-china-2026-09-09","amec-cseac-2026-09-05","acm","ciomp","empyrean","duv-ft","hbm-reuters","cioe-optics-2026-09-11","enflame-ipo","mlperf-training","mlperf-inference","inferencex"]},{"date":"2026-09-14","status":"updated","companies":["aishengna","amec","cambricon","cxmt","enflame","eoptolink","huawei","innolight","naura","smic","ymtc","yuliangsheng","guowang","h3c","hwatsing"],"summary":"Screened all priority-1 profiles and the next three oldest-reviewed non-priority profiles with September 7–14 overlapping English and Chinese searches. Added H3C primary evidence for its reported Xiaohongshu DDC deployment, G-Link and ODCC participation, UXM module support and open optical-interconnect direction. The disclosure did not provide a matched InfiniBand workload benchmark, cluster topology, switch-silicon provenance or independent customer data. Added reporting sourced to Hwatsing's company announcement that its Master-P510APEX panel-level CMP system was shipped to an advanced-packaging production line; kept shipment distinct from customer acceptance, yield, uptime, throughput and volume evidence. Reopened Guowang's patent record and the current H3C and Hwatsing company pages; Guowang gained no new production evidence. Search-only coverage of the other priority profiles did not advance their review dates. Rechecked MLPerf Training and Inference v6.0 repository heads and submitter directories plus InferenceX's current public coverage. The MLPerf repositories had no newer result push and no current Chinese accelerator submitter was found; InferenceX listed current GB300, MI355X and TPU v7 systems but no equivalent current Chinese hardware result. No matched latest-versus-latest parity claim was added. Historical reports, corrections, forecasts, evidence labels and prior run records were preserved.","source_ids":["h3c-odx-2026-09-04","hwatsing-panel-cmp-2026-09-09","guowang","hbm-reuters","cioe-optics-2026-09-11","enflame-ipo","mlperf-training","mlperf-inference","inferencex"]},{"date":"2026-09-14","status":"updated","companies":["aishengna","amec","biren","cambricon","cxmt","enflame","eoptolink","huawei","hwatsing","iluvatar","innolight","metax","naura","rslaser","smic","ymtc","yuliangsheng","zhiqi"],"summary":"Ran the weekly helper for the previous fully closed Monday-Sunday period and retained the September 11 period-to-date edition unchanged. Audited the ten selected in-period events and ran overlapping English and Chinese gap searches across accelerators, software, memory, optical interconnects, lithography and packaging equipment. Added Biren's September 7 vendor account of an August 28 ecosystem meetup as a canonical source and event: it says TorchSUPA uses PyTorch PrivateUse1 and supports common APIs, collectives and FSDP2, graph capture and profiling. No public code repository was identified, so the record does not infer operator coverage, maintainability, upstream acceptance, performance or CUDA parity. The complete briefing preserves all historical reports and states that no dated forecast moved. It uses the current September 14 benchmark review: no matched contemporary Chinese result against GB300, MI355X or TPU v7 was verified in MLPerf v6.0 or InferenceX coverage. Because systematic coverage began September 11, the September 7-13 reconstruction remains incomplete for private deployments, unindexed disclosures, tenders and individual benchmark artifacts. Search-only coverage did not advance other company review dates.","source_ids":["biren-torchsupa-2026-09-07","biren-2026-h1","biren-glm-2026-09-07","biren-shanghai-lab-2026-09-10","pytorch-cambricon-2026-09-07","pytorch-china-2026-09-09","hbm-reuters","cioe-optics-2026-09-11","enflame-ipo","hwatsing-panel-cmp-2026-09-09","duv-ft","mlperf-training","mlperf-inference","inferencex"]},{"date":"2026-09-15","status":"updated","companies":["aishengna","amec","cambricon","cxmt","enflame","eoptolink","huawei","innolight","naura","smic","ymtc","yuliangsheng","iluvatar","jcet","kingsemi"],"summary":"Screened all priority-1 profiles and the next three oldest-reviewed non-priority profiles with overlapping English and Chinese searches covering September 8-15. No new qualifying in-window accelerator, memory, optical-interconnect or semiconductor-equipment event was verified. A filing-gap review found three material August disclosures that were missing from the canonical record. AMEC's company report says three ICP etch families were in volume production on lines at more than 50 customers, with stable production use or repeat orders for additional advanced etch systems and repeat production orders after onsite validation of tungsten deposition systems at key memory and logic customers. NAURA reports more than 1,000 cumulative deliveries each for etch, PVD and vertical furnaces, RMB 20.161 billion of first-half revenue, and rollout of hybrid-bonding and high-end TSV electroplating tools. JCET reports XDFOI volume production, customer validation of silicon-photonics engine samples, and 40.4% year-over-year growth in computing-electronics revenue. Each claim remains vendor evidence: unnamed customers, unspecified process nodes, and undisclosed yield, capacity, uptime, throughput or production volume limit the conclusions. Reviewed Iluvatar and Kingsemi's current official pages without accepting a new production or benchmark claim. Rechecked MLPerf Training and Inference v6.0 repository heads and InferenceX's current public coverage; no matched contemporary Chinese result against current GB300, MI355X or TPU v7-class systems was found. Search-only priority coverage did not advance review dates. Historical reports, corrections, forecasts and evidence labels were preserved; the August events are explicitly late-added rather than dated as September events.","source_ids":["amec-2026-h1-report","naura-2026-h1-report","jcet-2026-h1-report","iluvatar","kingsemi","mlperf-training","mlperf-inference","inferencex"]},{"date":"2026-09-16","status":"updated","companies":["aishengna","amec","cambricon","cxmt","enflame","eoptolink","huawei","innolight","naura","smic","ymtc","yuliangsheng","kunlunxin","metax","moore-threads"],"summary":"Screened all priority-1 profiles and the next three oldest-reviewed non-priority profiles with overlapping English and Chinese searches covering September 9-16. Added Moore Threads' September 9 primary announcement that JD Cloud plans a 100,000-card full-function GPU cluster. The record treats this as a plan rather than delivery evidence because no schedule, GPU model, completed card count, topology, interconnect, power, recovery or workload result was disclosed. Backfilled Moore Threads' August half-year report: company-reported revenue was RMB 1.736 billion, attributable net loss was RMB 11.56 million, and a RMB 660 million KUAE sales contract was fully delivered and recognized. Its Dense and MoE MFU, scaling-efficiency and effective- training-time figures remain vendor measurements without a matched workload, power or current foreign-hardware comparison. Added Kunlunxin's downloadable FlagOS MiniCPM5-2B deployment image and MetaX's ATRIA Dawn Preview Day-0 adaptation plus reported PyTorch operator coverage as compatibility evidence, not performance or CUDA parity. Rechecked MLPerf Training and Inference v6.0 repository heads and submitter directories plus InferenceX's current coverage. No matched contemporary Chinese result against current GB300, MI355X or TPU v7-class systems was verified. Search-only priority coverage did not advance review dates. Historical reports, corrections, forecasts and evidence labels were preserved; the half-year filing is explicitly late-added.","source_ids":["moore-threads-2026-h1-report","moore-threads-jd-cloud-2026-09-09","kunlunxin-minicpm-2026-09-10","metax-atria-2026-09-14","mthreads","kunlunxin","mlperf-training","mlperf-inference","inferencex"]},{"date":"2026-09-17","status":"updated","companies":["aishengna","amec","cambricon","cxmt","enflame","eoptolink","huawei","innolight","naura","smic","ymtc","yuliangsheng","rslaser","siom","skyverse"],"summary":"Screened all priority-1 profiles and the next three oldest-reviewed non-priority profiles with overlapping English and Chinese searches covering September 10-17. Added Reuters' September 17 account of Huawei's new launch targets for the 960DT in Q1 2027 and Ascend 960PR in Q3 2027, plus Huawei's claim that it had shipped more than 1,000 supernodes to more than 370 customers. The record preserves the older dated roadmap and treats the new dates as expected milestones, not delivery evidence. Huawei did not identify customers, state the number of accelerators per shipped system or disclose acceptance, utilization, workload, power, reliability or interconnect-performance results. Added Huawei's September 10 account of China Unicom deploying Ascend compute and a 384-NPU supernode and adapting Ascend 950 for Unicom Cloud; this is named-deployment evidence but remains a vendor account without independent operating metrics. Reviewed Skyverse's current official portfolio and news pages without accepting prototype or production claims from image-only reporting. RSLaser and SIOM searches produced no retrievable new primary evidence, so their review dates did not advance. Rechecked MLPerf Training and Inference v6.0 repository heads, the closed inference submitter directory and InferenceX's current public coverage. No matched contemporary Chinese result against current GB300, MI355X or TPU v7-class systems was verified. Search-only priority coverage did not advance review dates; historical reports, corrections, forecasts and evidence labels were preserved.","source_ids":["huawei-connect-2026-09-17","huawei-china-unicom-2026-09-10","skyverse","mlperf-training","mlperf-inference","inferencex"]},{"date":"2026-09-18","status":"updated","companies":["aishengna","amec","cambricon","cxmt","enflame","eoptolink","huawei","innolight","naura","smic","ymtc","yuliangsheng","rslaser","siom","smee"],"summary":"Screened all priority-1 profiles and the next three oldest-reviewed non-priority profiles with overlapping English and Chinese searches covering September 11-18. Added Reuters' September 18 report that CXMT plans a NAND R&D production line at its new Beijing plant and has discussed prospective AI-storage customers. The event is recorded as a research and trial- production plan, not commercial output: Reuters could not establish an operating date or a commitment to volume manufacturing, and CXMT did not comment. Re-reviewed Reuters' materially expanded September 17 Huawei report and added a companion event for the company's statements enough AI computing equipment to satisfy domestic demand, Ascend 950 systems have entered commercial use, an Ascend 960 supernode is planned for up to 4,096 processors and Peerium is intended eventually to connect as many as one million. These are reported company claims; Huawei did not disclose capacity, orders, customer acceptance, utilization, workload, power, reliability or interconnect-performance data. Reviewed SMEE's current official product page; no new qualified production milestone was accepted. RSLaser and SIOM searches produced no retrievable new primary evidence, so their review dates did not advance. Rechecked MLPerf Training and Inference v6.0 repository heads, the closed inference submitter directory and InferenceX's current public coverage. No matched contemporary Chinese result against current GB300, MI355X or TPU v7-class systems was verified. Search-only coverage did not advance other company review dates; historical reports, corrections, forecasts and evidence labels were preserved.","source_ids":["cxmt-nand-2026-09-18","huawei-connect-2026-09-17","smee","mlperf-training","mlperf-inference","inferencex"]},{"date":"2026-09-19","status":"updated","companies":["aishengna","amec","cambricon","cxmt","enflame","eoptolink","huawei","innolight","naura","smic","ymtc","yuliangsheng","rslaser","siom","thead"],"summary":"Screened all priority-1 profiles and the next three oldest-reviewed non-priority profiles with overlapping English and Chinese searches covering September 12-19. Added an independent teardown of one Eoptolink 400G DR4+2km module that directly identified a Marvell IN010C50 DSP and several Analog Devices power and analog parts. The record excludes the author's inferred laser identification and limits the finding to this anonymous, single sample with no disclosed manufacturing date; it does not establish the bill of materials for current 800G or 1.6T production. The oldest-profile review reopened T-Head's current official page and the existing May Reuters report, then backfilled the materially under-recorded company claims of more than 560,000 Zhenwu units shipped, deployments at more than 400 external customers across 20 industries, the 128-accelerator Panjiu AL128 rack and expected V900 and J900 roadmap dates. Product mix, acceptance, utilization, workload performance, power, fabrication and memory provenance remain undisclosed. RSLaser and SIOM searches again produced no retrievable new primary evidence, so their review dates did not advance. Rechecked unchanged MLPerf Training and Inference v6.0 repository heads, the closed inference submitter directory and InferenceX's current public coverage. No matched contemporary Chinese result against current GB300, MI355X or TPU v7-class systems was verified. Search-only priority coverage did not advance other company review dates; historical reports, corrections, forecasts and evidence labels were preserved.","source_ids":["eoptolink-400g-teardown-2026-09-19","m890","thead","mlperf-training","mlperf-inference","inferencex"]},{"date":"2026-09-20","status":"updated","companies":["aishengna","amec","cambricon","cxmt","enflame","eoptolink","huawei","innolight","naura","smic","ymtc","yuliangsheng","rslaser","siom","zhiqi"],"summary":"Screened all priority-1 profiles and the next three oldest-reviewed non-priority profiles with overlapping English and Chinese searches covering September 13-20. Added Reuters' September 20 account of CXMT's statement that its fifth-generation DRAM platform entered mass production using quadruple patterning and an 11.95 nm active-area half-pitch, and that two 24 Gb LPDDR5X products made on the platform are in mass production. The record treats these as company claims and preserves Reuters' distinction between gross dies per wafer and the proportion passing final tests: the claimed at-least-50% improvement over the fourth- generation platform does not disclose yield, reliability, customer qualification or output volume. CXMT said Chinese equipment makers contributed to critical process steps but did not name them or establish a fully domestic process flow. The event is a commodity-DRAM milestone, not evidence of HBM volume or performance. RSLaser, SIOM and Zhiqi searches produced no retrievable new primary evidence, so their review dates did not advance. Rechecked unchanged MLPerf Training and Inference v6.0 repository heads and InferenceX's current public coverage, which now names Rubin alongside GB300, MI355X and TPU v7. No matched contemporary Chinese accelerator result was verified. Search-only priority coverage did not advance other company review dates; historical reports, corrections, forecasts and evidence labels were preserved.","source_ids":["cxmt-g5-dram-2026-09-20","mlperf-training","mlperf-inference","inferencex"]},{"date":"2026-09-21","status":"updated","companies":["aishengna","amec","cambricon","cxmt","enflame","eoptolink","huawei","innolight","naura","smic","ymtc","yuliangsheng","rslaser","siom","zhiqi"],"summary":"Screened all priority-1 profiles and the next three oldest-reviewed non-priority profiles with overlapping English and Chinese searches covering September 14-21. Late-added a July 22 Pengcheng Laboratory preprint that measures Ascend 910A/B/C on scientific kernels and five application studies. The record captures a favorable matched quantum-simulation case: a tuned 910C implementation completed a 30-qubit, 30-layer circuit in 11.4 seconds versus 14.3 seconds on an A800 using cuQuantum. It also preserves the paper's less favorable evidence: vector- and memory-bound kernels remained constrained, several comparisons used different algorithms or implementations, and workload-specific optimization was central. The study uses export-limited A800/H800 controls rather than current frontier hardware and does not test AI model training or inference, so it does not change the latest-versus-latest assessment. RSLaser, SIOM and Zhiqi searches produced no retrievable new primary evidence, so their review dates did not advance. Rechecked unchanged MLPerf Training and Inference v6.0 repository heads and InferenceX's current public coverage; no matched contemporary Chinese result against Rubin, GB300, MI355X, TPU v7 or the newly listed Jalapeno systems was verified. Search-only priority coverage did not advance other company review dates. Historical reports, corrections, forecasts and evidence labels were preserved.","source_ids":["ascend-science-2026-07-22","mlperf-training","mlperf-inference","inferencex"]},{"date":"2026-09-21","status":"updated","companies":["cxmt","eoptolink","huawei","metax","ymtc"],"summary":"Ran the weekly helper for the previous fully closed Monday-Sunday period and created the complete September 14-20 edition without replacing the earlier September 7 period-to-date or complete reports. Audited all six selected in-period events and their original sources, then ran bounded English and Chinese gap searches across accelerators, memory, optical interconnects, software and manufacturing equipment. The synthesis treats Huawei's accelerated 2027 roadmap, reported system scale and Peerium targets as company evidence rather than delivered workload performance, and makes Huawei's inability to meet Chinese demand the clearest capacity constraint. It distinguishes CXMT's fifth-generation commodity-DRAM and LPDDR5X mass-production claims from tested yield and HBM progress, and its planned NAND R&D line from commercial output. It uses the single Eoptolink 400G teardown only as sample-specific component evidence. The pre-period Ascend scientific- computing paper is background because it was public by the period end; it does not enter news_ids or establish model-training or inference parity. Rechecked unchanged MLPerf v6.0 repository heads and current InferenceX coverage. No matched current Chinese result against Rubin, GB300, MI355X or TPU v7 was verified, and no dated forecast changed. Coverage remains incomplete for private and unindexed evidence, tenders, individual benchmark artifacts and undisclosed production or customer metrics.","source_ids":["ascend-science-2026-07-22","cioe-optics-2026-09-11","cxmt-g5-dram-2026-09-20","cxmt-nand-2026-09-18","eoptolink-400g-teardown-2026-09-19","huawei-connect-2026-09-17","inferencex","metax-atria-2026-09-14","mlperf-inference","mlperf-training"]},{"date":"2026-09-22","status":"updated","companies":["aishengna","amec","cambricon","cxmt","enflame","eoptolink","huawei","innolight","naura","smic","ymtc","yuliangsheng","rslaser","siom","zhiqi","thead","ligent"],"summary":"Screened all priority-1 profiles and the next three oldest-reviewed non-priority profiles with overlapping English and Chinese searches covering September 15-22. Added Reuters' September 22 report that Alibaba unveiled T-Head's Zhenwu V900 and now targets Q1 2027 mass production and commercial release, earlier than the Q3 2027 roadmap reported in May. Preserved that older dated roadmap and recorded the new three-times-M890 performance and 500,000-chip cluster claims as reported targets rather than workload evidence: precision, model, power, topology, recovery, fabrication and memory data were not disclosed. Added Ligent Technologies as a tracked photonics supplier after its HKD 5.67 billion Hong Kong IPO, with planned allocations of about 52.9% of net proceeds to faster optical-product and chip R&D and 25.1% to capacity. The record separates capital raised and a vendor-listed 400G/800G/1.6T portfolio from verified high-speed shipment mix, yield, customer qualification and domestic component provenance. RSLaser, SIOM and Zhiqi searches produced no retrievable new primary evidence, so their review dates did not advance. Rechecked the unchanged MLPerf Training and Inference v6.0 repository heads and submitter directories plus InferenceX's current dashboard; no matched contemporary Chinese result against Rubin, GB300, MI355X, TPU v7 or OpenAI Jalapeño was verified. Search-only priority coverage did not advance other company review dates.","source_ids":["alibaba-v900-2026-09-22","ligent","ligent-ipo-2026-09-22","mlperf-training","mlperf-inference","inferencex"]}]}}