跳到正文
Rohan Paul· @rohanpaul_ai · X·· 2026-07-07AI 评分50
AI 导读

据The Information,智谱AI在DeepSeek之后也开始探索定制ASIC芯片,原因是其GLM-5.2使用量一周内暴涨27倍。定制ASIC虽牺牲灵活性,但可降低功耗和每token成本。Nvidia GPU适合通用场景,大规模推理需针对性设计。智谱尚未选定合作伙伴,项目或需两年以上。此前DeepSeek已自研推理芯片以摆脱对Nvidia和华为的依赖,但芯片工作尚处早期,大规模制造受美国限制先进代工厂和高带宽内存的制约。

正文 · 原文

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/
在 X 查看被引用的帖子

来源:Rohan Paul · x.com