Anthropic has begun assembling a team of software and hardware engineers to design custom chips for its Claude AI models. The goal is to run the technology faster and scale down
costs for its customers. Anthropic offered no indication of when its chip efforts might bear fruit. The company also didn't clarify whether it plans to handle manufacturing on its own.
According to industry sources cited by Reuters, the price tag for developing an advanced AI chip can approach half a billion dollars, driven by the need for specialized engineering talent and the high cost of achieving reliable, defect-free
fabrication.
Anthropic isn't the first AI company to pursue its own chip. In June, OpenAI unveiled its Broadcom-built Jalapeño chip, designed for inference workloads. Alphabet's TPU chips serve as the foundation for Google DeepMind's AI systems, and Meta has separately been working to bring its own MTIA accelerators to bear on AI workloads.
Anthropic has
already pursued a range of deals to access AI computing hardware, including arrangements with AWS, Google, Nvidia, and AMD. Last month, The Information reported that Anthropic was scouting Samsung as a potential manufacturing partner for custom chips. |