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The abandoned acquisition talks point to a costly, slow effort to gain more control over the hardware that trains Claude, without abandoning outside chip suppliers.
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Anthropic’s custom-silicon strategy remains unsettled: Reuters sources say it discussed buying MatX for about $7 billion, but those talks ended and may shift toward a partnership. The lab is pursuing several routes at once—expanding its chip team, evaluating other startups, and continuing to use Nvidia and Google hardware for Claude. MatX is reportedly raising money at a roughly $4 billion valuation, though that figure is unrelated to the abandoned deal’s terms. The acquisition’s failure and any partnership scopeေ?
MatX was founded by former Google TPU engineers and is developing processors for training large AI models.
Anthropic hired Google chip veteran Amir Salek and former OpenAI chip engineer Clive Chan.
Anthropic’s multi-chip strategy keeps Nvidia and Google suppliers in the mix; custom silicon would be additive, not a replacement.
Anthropic reportedly considered buying AI-chip startup MatX for about $7 billion, then let the negotiations end. The remaining possibility of a partnership puts the focus on Anthropic’s larger objective: building custom-hardware expertise while continuing to rely on several established chip suppliers.
Reuters sources said Anthropic discussed an acquisition of MatX at roughly $7 billion. Those talks ended, and the companies’ conversations have moved toward a potential partnership. Anthropic declined to comment on its discussions with MatX, while MatX did not respond to Reuters’ request for comment.
MatX was founded by former Google tensor processing unit engineers and is developing processors for training large AI models. Training processors are the hardware used to build models, rather than the systems that generate responses after a model has been trained. Reuters said Anthropic saw a purchase as a way to bring chip-design talent and expertise inside the company.
That capability is not limited to one target. Anthropic is expanding its internal silicon team and has met with multiple AI semiconductor startups while weighing different chip-design approaches. It has not selected an acquisition strategy, according to the account.
Anthropic’s reported plan is not to replace outside hardware outright. It intends to maintain a multi-chip strategy that includes suppliers such as Nvidia and Google. That leaves proprietary silicon as an additional infrastructure option, rather than a declared move to a single internally designed processor.
The appeal of custom hardware is specific: Anthropic is attempting to make Claude faster and more efficient while reducing dependence on external semiconductor providers. Company-designed chips could eventually give it hardware optimized for Claude and potentially lower long-term computing costs, but that outcome is not assured by the talks themselves.
Owning chip-design expertise does not make new processors quick or cheap. A single chip generation can require hundreds of millions of dollars in design costs and take a year or longer to produce a viable processor. That timeline helps explain why a partnership, a team build-out and continued supplier relationships can coexist.
The central unknown is why the acquisition negotiations stopped; Reuters could not determine the reason. The terms and scope of any partnership also remain undisclosed. For now, MatX’s reported fundraising effort and Anthropic’s wider startup discussions leave open whether the company will buy expertise, partner for it, or continue building it piece by piece.
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