Following Meta and OpenAI, Anthropic considers developing its own AI chip.
Insiders revealed that the artificial intelligence lab Anthropic is exploring the possibility of designing chips on its own.
Three sources revealed that the artificial intelligence laboratory Anthropic is exploring the possibility of designing its own chips, as the company and its competitors are grappling with a shortage of artificial intelligence chips, which are crucial for driving and developing more advanced artificial intelligence systems.
However, the sources said that the plan is still in the early stages, and the company may still decide to only purchase artificial intelligence chips instead of designing their own. One source mentioned that the company has not yet determined a specific design plan, nor have they assembled a dedicated team to carry out this work.
A spokesperson for Anthropic declined to comment on the report.
Earlier this week, Anthropic stated that the demand for its artificial intelligence model, Claude, is accelerating and is expected to exceed $30 billion in annual revenue, up from approximately $9 billion at the end of 2025.
Anthropic uses a variety of chips, including Google's Tensor Processing Unit (TPU) and Amazon's chips, to develop and run its artificial intelligence software and chatbot, Siasun Robot&AutomationClaude.
Earlier this week, Anthropic signed a long-term agreement with Google and Broadcom, the latter being involved in the design of the TPU. This agreement is based on Anthropic's commitment to invest $50 billion to strengthen the US computing infrastructure.
Reports indicate that tech companies, including Meta and OpenAI, are also looking to design their own artificial intelligence chips.
Industry insiders revealed that designing an advanced artificial intelligence chip could cost around $500 million, as companies need to hire skilled engineers and invest funds to ensure a smooth production process.
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