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Anthropic Eyes Custom AI Chips Amid Global Shortage As Claude Demand Surges Past $30 Billion Run Rate: Re
The plans are early-stage as Anthropic weighs a chip design that could reduce reliance on suppliers amid a shortage and rising Claude demand.
- Artificial intelligence lab Anthropic is exploring the possibility of designing its own chips, according to three sources, as the company responds to a shortage of AI chips needed to power advanced systems.
- Demand for the startup's Claude model has accelerated in 2026, with run-rate revenue surpassing $30 billion, up from about $9 billion at the end of 2025, Anthropic said earlier this week.
- Anthropic currently uses TPUs designed by Alphabet's Google and Amazon chips to run Claude; industry sources note designing an advanced chip costs roughly half a billion dollars.
- The company has yet to commit to a specific design or assemble a dedicated team, as plans remain in early stages according to two people familiar with the matter.
- Anthropic's discussions mirror efforts at rivals Meta and OpenAI, even as the firm recently signed a long-term deal with Google and Broadcom to design TPUs for computing infrastructure.
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Anthropic is exploring building its own AI chips
The plans are early-stage and Anthropic may still decide to only buy chips rather than design them. The exploration comes days after the company signed a long-term deal with Google and Broadcom for 3.5 gigawatts of TPU compute starting in 2027. A company spokesperson declined to comment. Anthropic is exploring the possibility of designing its […] This story continues at The Next Web
·Amsterdam, Netherlands (Kingdom of the)
Read Full ArticleAnthropic may build its own chips to power Claude AI, what it means for Google and Nvidia
Anthropic is reportedly exploring building its own AI chips to power Claude, as demand for computing surges and chip shortages continue to bite. While it’s still early days, the move could eventually reduce its reliance on Nvidia and even partners like Google.
·India
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Total News Sources28
Leaning Left3Leaning Right5Center4Last UpdatedBias Distribution42% Right
Bias Distribution
- 42% of the sources lean Right
42% Right
L 25%
C 33%
R 42%
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