SAN FRANCISCO – Anthropic discussed buying artificial intelligence chip start-up MatX for roughly US$7 billion (S$8.9 billion), seeking to accelerate efforts to develop custom hardware for its fast-growing AI business, two people briefed on the matter told Reuters.
The merger talks, which a third person said have evolved into a discussion about a partnership, underscore the artificial intelligence lab’s ambition to secure the resources and talent needed to build its own chips.
The goal is to help Anthropic accelerate its in-house chip development.
Reuters is reporting on the discussions for the first time, but could not learn why the talks are no longer active.
MatX, founded by former Google tensor processing unit (TPU) engineers, is now seeking to raise new capital at a valuation of about US$4 billion, one of the people said, requesting anonymity to discuss private matters.
Anthropic declined to comment on deal talks with MatX. MatX did not respond to a request for comment.
Chip plans on road to IPO
As Anthropic scales its Claude family of AI models, the company is looking to produce hardware that can fulfil its voracious appetite for data crunching and reduce its reliance on chips produced by Nvidia.
Anthropic, which is expected to list in 2026, has hired engineering and executive talent to accelerate the chip design process, which could take years.
Anthropic’s initial public offering, expected months after SpaceX went public with a US$1 trillion valuation, will chase a valuation of US$2 trillion, which hinges on a 2028 revenue figure of as much as US$200 billion, Reuters reported earlier in August.
Anthropic said it is expanding an in-house silicon team to design custom chips that will allow Claude models to run faster and more efficiently. It also plans to keep a multi-chip approach by working with providers from Nvidia to Google.
Designing chips is expensive and time-consuming. It can take a year or more to produce a viable piece of hardware, and design costs for a single generation run in the hundreds of millions of dollars.
An acquisition of an AI chip start-up such as MatX would give Anthropic in-house design expertise and could help lower costs over the longer term, the people said.
MatX has been working on a chip that would be useful for building large AI models in a process called training.
Anthropic plans to spend tens of billions of dollars to rent computing power from cloud providers and also plans to buy chips directly.
It plans to buy US$36 billion worth of Google’s AI chips, and signed a US$45 billion deal to rent AI cloud computing power from Nscale.
It agreed to pay SpaceX US$1.25 billion per month through May 2029 for computing capacity across its data centre clusters.
Discussions with other AI chip start-ups
The discussions with MatX also suggest Anthropic may be interested in producing a training chip, while other chip start-ups and rival OpenAI pursue processors better suited to generating responses from chatbots, a process known as inference.
Anthropic could elect to produce an inference chip as well, the sources said.
In recent weeks, Anthropic held meetings with a range of AI chip start-ups. It has not yet elected to make an acquisition. The meetings are an attempt by Anthropic’s engineers and executives to understand the current range of chip design approaches.
This week, Anthropic hired Google chip veteran Amir Salek as part of the company’s push into hardware.
In June, the AI lab hired former OpenAI chip engineer Clive Chan, who worked on the OpenAI chip unveiled earlier in 2026.
The leading AI labs such as Anthropic and OpenAI have become increasingly focused on custom chips, which can be tailored to their models and workloads.
Through this, they hope to create significant performance and economic advantages.
At a conference this week, OpenAI boasted that its first custom chip called Jalapeno outperformed a similar processor made by Nvidia.
OpenAI executives noted that the chip was more energy efficient in performing inference calculations.
Making a custom chip may also help Anthropic hedge against the tight supply of Nvidia’s processors, which Nvidia said in a conference call on Aug 26 would be in short supply through 2027.
Google has developed TPUs, while Amazon has built its Trainium and Inferentia chips.
Anthropic was one of the first companies to run its models on hardware from several vendors including Nvidia, Google and Amazon.
The company has been seeking more computing capacity to meet surging demand for its models, including through a deal with SpaceX to use its Colossus 1 facility, which houses more than 220,000 Nvidia chips. REUTERS
