Anthropic is exploring a partnership with Samsung Electronics to produce a custom AI processor, the Information reported on Thursday. The talks are in an early stage, with no chip design finalized and no clear decision on the processor’s intended use, performance level, or server integration. Company officials declined to elaborate, noting that a diversified hardware portfolio—featuring chips from Google, Amazon and Nvidia—will remain central to their compute strategy.
Samsung already plays a sizable role in the AI‑chip supply chain, manufacturing Nvidia’s training and inference silicon and co‑building an AI chip fab in South Korea. The potential collaboration would add another dimension to Samsung’s growing presence in the sector, but whether it ultimately produces a chip for Anthropic remains uncertain.
Anthropic’s interest in custom silicon dates back to an April Reuters report that linked the company’s search for its own chip to the rising compute demands of its Claude models. At that time, the effort was described as exploratory, with no dedicated team or firm design commitment. Since then, the startup has hired Clive Chan, a veteran who helped launch OpenAI’s custom‑chip program, suggesting a transition from speculation to concrete development.
The timing aligns with a wave of custom‑chip initiatives across the AI landscape. OpenAI recently unveiled a Broadcom‑built inference processor dubbed the “Intelligence Processor,” aiming to reduce reliance on Nvidia hardware. Both Amazon and Google already offer proprietary silicon through their cloud platforms, and Anthropic currently runs Claude on all three major chip families.
Financially, Anthropic’s rapid growth bolsters the case for bespoke hardware. The company’s annualized revenue run rate topped $30 billion earlier this year, more than tripling from roughly $9 billion at the close of 2025. In April, Anthropic signed a long‑term agreement with Google and Broadcom for about 3.5 gigawatts of TPU capacity beginning in 2027. Owning its own chip could give Anthropic tighter control over the hardware that powers its models and potentially improve cost efficiency.
Despite the promising signs, the Samsung talks are not a guarantee. Anthropic could abandon the project if design challenges arise or if market conditions shift. The company’s statement to TechCrunch underscored that its hardware strategy will stay diversified, keeping multiple vendors in the mix.
Industry observers see the move as part of a broader trend away from exclusive dependence on Nvidia. As AI models grow larger and more compute‑intensive, firms like Anthropic are weighing the trade‑offs between leveraging existing silicon ecosystems and investing in proprietary solutions that could deliver performance gains and supply‑chain resilience.
This article was written with the assistance of AI.
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