Custom silicon for Claude
Anthropic is building a team to design its own custom chips for AI workloads. The company confirmed the move on Wednesday after Business Insider first reported the news. A job listing shows the maker of the Claude chatbot is seeking engineers with experience in chip design and verification.
The job description says applicants must show “direct personal contribution” to the completion and shipping of semiconductor designs. Anthropic said it plans to co-design hardware and models so its technology runs faster and more efficiently at the scale its customers need.
Why AI companies are making their own chips
Anthropic's decision comes as demand for Claude rises and AI companies compete for limited computing power. Anthropic has signed deals with AWS, Google, Nvidia and AMD for AI hardware, but relying on outside suppliers is not enough to scale at the pace it wants.
Anthropic is not the first AI company to bring chip design in-house. OpenAI unveiled its Broadcom-built “Jalapeño” chip in June, designed for inference workloads. Google DeepMind has long relied on Alphabet's TPU chips. Meta has been developing its own MTIA accelerators. Building custom chips gives these companies more control over the hardware that powers their models and can cut the cost of training and running large AI systems.
A Samsung partnership in the works
Last month, The Information reported that Anthropic was scouting Samsung as a potential partner for building its chips. A deal with the South Korean giant would give Anthropic access to advanced manufacturing capacity without building its own factories. Reuters reported in April that the company was considering designing its own AI chips.
The chip effort is part of a wider race for AI infrastructure. As models grow larger, the companies that control their own silicon — and the supply chains behind it — may hold an edge in speed, cost and reliability.
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