chinese startup @deepseek_ai is in the early stages of designing a custom chip for inference (not training). the goal – cut reliance on nvidia and huawei amid us export controls. it has been quietly hiring chip-design engineers and holding talks with foundries and memory suppliers
it is not alone. the pattern across ai-first labs:
• @OpenAI: unveiled "jalapeño," its first custom inference chip built with broadcom, on jun 24. still in testing
• @AnthropicAI: in early talks with samsung to build a custom chip. exploratory, no design locked yet
• @Meta: mtia already deployed at scale, with four new chip generations on the roadmap
• @Alibaba_Qwen: launched the zhenwu m890 via its t-head unit – training and inference on one chip, 560k+ units already shipped
• bytedance: developing its seedchip accelerator with tsmc, taping out this year
every major lab wants independence from nvidia, tighter control over inference economics, and, increasingly, a new revenue line in hardware itself. owning the chip is becoming as strategic as owning the model

Exclusive: Chinese startup DeepSeek is developing its own AI chip, according to three people familiar with the matter, a push that could reduce its reliance on Nvidia and Huawei chips, which it has depended on to train and run its globally popular models https://t.co/z6WccU8N4B
— Reuters (@Reuters) July 7, 2026
Nick Trenkler