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deepseek is joining top ai labs in developing its own ai chip

pulse Illustrated figures in tug-of-war pulling cables from a glowing Nvidia server amid graffiti reading "out" and "deal closed"

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

Comparison table of six AI labs building custom chips showing DeepSeek, OpenAI, Anthropic, Meta, Alibaba, and ByteDance with chip names and status

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