Anthropic is building toward a hardware future of its own. As TechCrunch reported on July 2, the company is in early-stage discussions with Samsung about manufacturing a custom AI chip. No details yet on architecture, use case, or performance targets — it’s all very preliminary.
Why it matters
Dependence on Nvidia is an ongoing headache for every major AI lab. Custom chips mean better cost control and hardware that’s optimized for your specific models. OpenAI recently unveiled a chip built with Broadcom, Google has been running its TPUs for years, and Amazon trains on Trainium. Anthropic wouldn’t be first — but it would be a strategically important addition to the field.
Diversification, not replacement
Anthropic told TechCrunch that a diversified hardware stack — chips from Google, Amazon, and Nvidia — will remain central to its strategy. The Samsung chip would be an addition, not a replacement. That makes sense: Claude currently runs on AWS Trainium, Google TPUs, and Nvidia GPUs, matching each workload to the best-suited chip.
Why Samsung?
The choice of Samsung as a manufacturing partner is noteworthy. TSMC dominates chip fabrication, but capacity there is scarce and expensive. Samsung has invested heavily in its foundry division and offers a viable alternative — though with some yield trade-offs compared to TSMC.
My take
Custom silicon is the logical next step for any AI company spending billions on compute. With Anthropic pulling in over $30 billion in annualized revenue and running massive compute deals with SpaceX and Google, the question isn’t whether they’ll build their own chip — it’s when. The Samsung talks show that planning has started. But a finished chip humming in data centers is still a ways off.
Sources: