Zhipu AI 和 DeepSeek 探索定制 ASIC

Per The Information, Zhipu AI is also (after DeepSeek) exploring a custom ASIC after GLM-5.2 usage reportedly jumped 27x in one week. A custom ASIC removes flexibility, but it can cut power draw and per-token cost. Nvidia GPUs are strong general-purpose machines, but inference at scale has different economics. A fixed model can run better on silicon designed around its own repeated operations. Zhipu has not chosen a partner, and the project may take more than 2 years. The pattern is now bigger than one Chinese lab or one model launch. Chinese AI companies are trying to make software, hardware, and deployment less separable.  > **引用原帖 Rohan Paul (@rohanpaul_ai):** > DeepSeek is building an inference chip to cut dependence on Nvidia and Huawei in China’s $50B AI-chip market. > DeepSeek’s chip work is still early, with outside partners and private hiring of chip-design engineers. > The hard part is not drawing a chip, but making it at scale. Advanced foundries and high-bandwidth memory remain chokepoints because U.S. rules restrict Chinese access. > DeepSeek can still gain from a narrower chip built mainly for its own models. A custom inference chip could lower serving costs, reduce power needs, and tighten software-hardware control. > --- > reuters .com/world/china/chinas-deepseek-developing-its-own-ai-chip-sources-say-2026-07-07/ > https://x.com/rohanpaul_ai/status/2074519154292568401 Rohan Paul (@rohanpaul_ai): https://t.co/A02lJSHZy5