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Headlines · 7
- ModelSphere open-source platform targets production-grade AI deployment
On October 16, Paradigm Intelligence (范式智能) and Beijing Ruisizhilian Technology (睿思智联) announced ModelSphere (模域), a one-stop production-grade AI deployment platform that is free and open source for enterprise users under Apache 2.0 and is already available on GitHub. The platform combines compute management, model deployment and runtime optimization in one workflow, offering a graphical console, preset deployments, automatic elastic scaling, prefill-decode disaggregation, three-tier KV caching, high-availability load balancing and automatic service-resumption after stream interruptions, plus AutoTune scheduling intended to speed up first-token response. The vendors claim about 285% higher peak throughput and roughly 4x performance versus a baseline, figures that are company-stated and not independently verified; the platform bundles the EngineX inference engine to schedule heterogeneous Chinese accelerators from Huawei Ascend, Iluvatar CoreX, Moore Threads and Hygon DCU, and says it has optimized support for models such as DeepSeek-V4/V4-Flash, Qwen, Kimi, MiniMax and GLM.
InfoQ 中文 AI&大模型 · 🔥 7 - Moore Threads completes Day-0 support for Step 5 Preview on MTT S5000
StepFun open-sourced its new Step 5 Preview model on October 15, and Moore Threads said the same day that its MTT S5000 compute card and accompanying MUSA software stack had already completed Day-0 adaptation for the model. According to the source, Step 5 Preview uses a sparse MoE architecture with 600B total parameters, 27B activated per token, and native support for contexts up to 1 million tokens. Moore Threads says the adaptation covers key areas including hybrid attention, mixed-precision inference and speculative decoding, giving developers a path to deploy long-context models on domestic compute.
AIbase AI新闻 · 🔥 5 - China's $4T compute buildout faces 63% idle capacity as inference reshapes the math
China's Academy of Information and Communications Technology estimates that of roughly 3.8 billion card-hours of intelligent compute supplied nationwide in 2025, only about 1.4 billion were used — a 36.8% utilization rate — even as the NDRC cites projections of 4 trillion yuan in new direct investment in the compute network during the next five-year plan and Ulanqab touts 89 signed data center projects plus ambitions to become a "Token capital." The piece attributes the idle capacity to investment that outpaces demand, fixed costs at local state-funded AI centers that are hard to amortize, and customers who prefer cloud providers' packaged pay-as-you-go model services over migrating. As agents spread, it cites Gartner's forecast that global inference-related AI infrastructure spending will reach $23.3 billion in 2026, overtaking $19 billion for training, while DeepSeek's September time-of-day pricing and falling industry token prices make scheduling and per-task cost the new yardstick.
36氪 人工智能 · 🔥 6 - ESWIN Computing lists in Hong Kong as the first RISC-V chip stock
ESWIN Computing began trading on the Hong Kong Stock Exchange main board on October 9, billed as the first RISC-V chip stock, after a second entrepreneurial run by BOE founder Wang Dongsheng; Light Source Capital served as its multi-round exclusive financial adviser and an investor. Its prospectus shows revenue of RMB 1.752bn, 2.025bn and 2.431bn for 2023–2025, a roughly 17.8% three-year compound growth rate, with Q1 2026 revenue of RMB 494m, up 18.4% year on year. As of March 31, 2026 it reported more than 620 IP modules, over 20 RISC-V core series and more than 1,740 related patent applications, and says its 77 intelligent-computing SoC carries a self-developed NPU, supports full-stack floating-point compute and has deployed local large models; its RISC-V-based automotive MCUs serve smart seats, display assemblies, wireless charging and battery management.
钛媒体 · 🔥 0 - Biren plans HK$4.02B placement, total raise hits HK$17.26B
Biren Technology announced on Oct. 8 a placement of 130 million H shares at HK$31.8 apiece to no fewer than six placees, about 4.76% of post-issue share capital, for estimated net proceeds of roughly HK$4.02 billion. The price was a 9.76% discount to the previous close, and the stock fell 11.85% to HK$30.36 that day, closing at HK$31 on Oct. 9 for a market value of about HK$80.6 billion. Including a roughly HK$6.204 billion net raise at its January listing and a HK$7.038 billion placement in July, Biren has raised about HK$17.261 billion (about RMB 14.7 billion) since listing, the most among listed Chinese GPU makers. The company says about 70% of this round goes to strategic supply-chain procurement, production preparation and commercialization for its next-generation flagship BR20X, which it benchmarks against NVIDIA's H200 and expects to enter post-tape-out validation and customer testing in Q4, with large-scale deployment in 2027.
钛媒体 · 🔥 0 - Chinese gaming giants pour billions into AI, with NetEase and Tencent backing DeepSeek
A Zinc Scale article published via TMTPost says 15 major listed Chinese gaming companies took part in 72 investment deals worth over 87.2 billion yuan between 2025 and early July 2026, with only seven deals worth about 200 million yuan tied directly to games and the rest flowing mainly into AI and robotics. It reports that NetEase put in roughly 3 billion yuan and Tencent about 10 billion yuan in DeepSeek's first outside funding round in June 2026, and that 37 Interactive Entertainment booked about 1.016 billion yuan in investment income from its Zhipu stake.
钛媒体 · 🔥 0 - AMD to buy World Labs for $8.2B in all-stock deal
An analysis republished by 36Kr says AMD announced on Sept. 28 an all-stock acquisition of World Labs valued at $8.2 billion, expected to close by the end of 2026 pending regulatory approval, with Fei-Fei Li set to become an AMD executive vice president reporting to Lisa Su. The piece cites NVIDIA's roughly $12.9 billion purchase of Hugging Face, Qualcomm's acquisition of Modular and SpaceX's acquisition of Anysphere as signs chip giants are moving into the model layer. For Chinese chip makers such as Moore Threads and Huawei's Ascend, it argues that partnerships with world-model teams — rather than acquisitions — are the more realistic route, currently progressing from proving models can run to sharing in hardware definition.
36氪 人工智能 · 🔥 0
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