Anthropic forming custom AI chip design team
The Claude maker plans to co-design hardware and models to improve efficiency and scale, following peers like OpenAI and Google DeepMind.
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- Anthropic is hiring engineers for a custom silicon team to design AI chips.
- The effort aims to co-design hardware and models for faster, more efficient inference.
- Anthropic has existing deals with AWS, Google, Nvidia, and AMD for AI compute access.
Anthropic confirmed it is assembling a team to design custom AI chips, according to a TechCrunch report. The company stated it intends to co-design hardware and models to help its technology run faster and more efficiently. Anthropic also noted it is seeking engineers with chip design experience for its “custom silicon team,” as listed in a job posting.
The move follows reporting that Anthropic was exploring partnerships, including with Samsung, to build such chips. Anthropic currently relies on infrastructure deals with AWS, Google, Nvidia, and AMD to access AI computing hardware, but indicated that scaling to meet demand requires deeper control over chip design.
Anthropic is not the first major AI company to pursue custom silicon. OpenAI unveiled its Broadcom-built Jalapeño chip for inference workloads in June. Google DeepMind has long used Alphabet’s TPU chips, and Meta has developed its own MTIA accelerators for AI workloads.
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