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โ† Value Add PulseAIIn-house inference chip

DeepSeek Is Reportedly Building Its Own AI Inference Chip

DeepSeek has quietly been hiring chip-design engineers and holding talks with foundry and memory partners to build its own inference chip, a push to reduce reliance on both Nvidia and Huawei as it scales toward an IPO.

~$50B
China AI chip market
~1 year, quiet
Chip design hiring
Inference
Chip target use
TC
Trace Cohen
Early-stage VC & angel ยท Founder, New York Venture Partners
July 18, 2026
2 min read
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THE RUNDOWN
1

Hangzhou-based DeepSeek has been privately hiring chip-design engineers for roughly a year without public job postings and is in early-stage talks with external chip-design, foundry and memory partners, according to an exclusive Reuters report

2

The chip is designed specifically for inference -- the fastest-growing segment of AI compute, where specialized silicon can run cheaper and more power-efficiently than general-purpose GPUs -- rather than for training new models

3

Success would make DeepSeek the newest entrant in a global trend of AI labs building custom silicon (following OpenAI, Google and Amazon), and would add a domestic rival to Huawei inside China's roughly $50 billion AI chip market, reducing DeepSeek's dependence on both Nvidia (subject to US export controls) and Huawei

4

The effort faces real manufacturing constraints: US rules bar Chinese chip designers from the most advanced overseas foundries, and separate export curbs have limited China's access to high-bandwidth memory, a component central to competitive inference chips -- meaning even a successful design faces a difficult path to volume production

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The VC Read ยท Trace's TakeTrace Cohen

A company that built its reputation on doing more with less compute now trying to build its own compute is either the logical next move or a sign that the compute-efficiency story alone isn't a durable enough moat anymore. The manufacturing constraints here are the real story -- DeepSeek can design a chip, but without access to advanced foundries or high-bandwidth memory, 'developing its own AI chip' and 'shipping a competitive AI chip at volume' remain two very different things, and the gap between them is where every China-chip-independence story from the past three years has stalled.

China's DeepSeek is developing its own AI chip in a push to reduce its reliance on both Nvidia and Huawei, according to an exclusive Reuters report citing people familiar with the effort. The Hangzhou-based company has quietly increased its hiring of chip-design engineers over roughly the past year, largely through private channels rather than public job postings, and is holding early-stage discussions with external chip-design, foundry and memory partners.

The chip is being designed for inference -- the stage of AI computing where a trained model generates responses for users -- rather than for training new frontier models. Inference is the fastest-growing segment of AI compute demand, and specialized silicon can run meaningfully cheaper and more power-efficiently than general-purpose GPUs at that stage, which is why DeepSeek, OpenAI, Google and Amazon have all pursued custom inference silicon rather than relying solely on merchant GPU vendors.

โ€œThe chip is being designed for inference -- the stage of AI computing where a trained model generates responses for users -- rather than for training new frontier models.โ€

Success would position DeepSeek as a new domestic rival to Huawei inside China's roughly $50 billion AI chip market, while reducing its dependence on Nvidia GPUs that remain subject to US export controls limiting China's access to the most advanced chips. For a company whose entire public identity is built on doing more with cheaper compute, in-house inference silicon is a logical extension of that positioning.

But the manufacturing path is genuinely difficult. US export rules bar Chinese chip designers from using the most advanced overseas foundries, and separate curbs have restricted China's access to high-bandwidth memory, a component that's central to competitive inference-chip performance. DeepSeek's effort remains early-stage, and Reuters' sources caution the company is still reaching out to potential partners rather than having locked in a manufacturing path.

The bear case: chip design is a multi-year, capital-intensive undertaking even before manufacturing constraints are factored in, and DeepSeek is simultaneously trying to close a new funding round at a ~$71 billion valuation and prepare a Shanghai IPO -- a lot of major initiatives running in parallel for one company. What to watch next: whether DeepSeek names a foundry partner, and whether Beijing's broader semiconductor self-sufficiency push (evident in CXMT's imminent Shanghai IPO) extends state support to DeepSeek's chip ambitions specifically.

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More onDeepSeek โ†’Nvidia โ†’Huawei โ†’

Originally reported by Reuters. Analysis and editorial commentary by Value Add Pulse.

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