Anthropic may prefer a MatX partnership to a $7B chip acquisition. ByMicah Abiodun 4 mins read Published 3 hours ago·Updated 35 minutes ago * Anthropic reportedly considered buying AI chip startup MatX for about $7 billion to accelerate its in-house silicon strategy, but the acquisition talks have since stalled. * MatX is led by former Google TPU engineers and is now reportedly seeking funding at a valuation of about $4 billion, well below the price discussed in the abandoned deal. * The talks underline Anthropic's push to reduce dependence on Nvidia, Amazon and Google by gaining more control over the hardware used to train and run Claude. Anthropic, as reported by Reuters on Thursday, was in discussions about acquiring MatX, a startup focusing on chip technology, for approximately $7 billion in an effort to strengthen its custom silicon plan and lessen its reliance on Nvidia, but the negotiations have been halted. The abandoned acquisition demonstrates just how obsessed the Claude creator is with securing control of its hardware. Anthropic is already utilizing many of Google's TPUs, Amazon's Trainium, and Nvidia's GPUs and announced this plan back in October 2025 in their announcement about expanding their use of Google Cloud. Buying a semiconductor chip designer would further secure Anthropic's position, helping it shift from buying and leasing chips to actually producing them. Why a lab that rents millions of chips wants to design its own. The attraction of MatX boils down to its size. By the end of July, Anthropic's annualized revenue run rate reached $65 billion, climbing from $47 billion in May and nearly $9 billion at the close of 2025. The sheer level of growth results in a constant demand for computing power that is needed for training and running Claude. In April, Anthropic committed more than $100 billion to AWS over ten years for up to 5 gigawatts of capacity. Amazon also invested $5 billion and pledged as much as $20 billion more. Thanks to these cloud agreements, it is possible to access vast computing power, but they do not allow Anthropic to fully control its own hardware plans. However, if it owns a chip company, then it can. According to two sources who spoke to Reuters, the estimated $7 billion MatX negotiations aimed to speed up Anthropic's own chip research. Meanwhile, according to another source, the discussions are now leaning more towards a collaboration than a merger. The engineers Anthropic wanted, and the price that moved. MatX is a logical target for that strategy. Founder and CEO Reiner Pope previously ran AI software for Google's TPUs, while co-founder Mike Gunter was a lead designer of the same TPU hardware, according to TechCrunch. They started MatX in 2023. The startup raised a $500 million Series B in February led by Jane Street and Situational Awareness, the fund created by former OpenAI researcher Leopold Aschenbrenner. MatX plans to manufacture its chips at TSMC and begin shipping them in 2027. The valuation of the company has changed quite rapidly. According to Reuters, MatX is currently in the process of seeking new funds with an estimated valuation close to $4 billion, significantly less than the $7 billion valuation in the previous merger talks. Reuters says it could not establish what led to the end of the negotiations. A training bet, with inference as the open question. MatX positions itself as a maker of high-throughput chips for large language models, with hardware designed heavily around training and reinforcement learning workloads. That lines up with one of Anthropic's biggest expenses: training frontier AI models. But Anthropic is also looking beyond training. Cryptopolitan previously reported that the company is spreading its bets across inference-focused chipmakers, including a preliminary agreement to purchase about $250 million of chips from British startup Fractile. Those processors target inference, the stage where trained models generate responses for users. The common thread is vendor independence. Anthropic said on August 5 that it was building its own chip engineering team while continuing to buy hardware from Amazon, Google, Nvidia and AMD. Acquiring MatX would have folded an entire chip design operation into that effort. Anthropic declined to comment on the talks, while MatX did not respond to Reuters. Is buying access to MatX's chip expertise better than buying the entire company? Anthropic's AI infrastructure ambitions dwarf the MatX deal. The company is simultaneously pursuing tens of billions of dollars in compute capacity while considering whether to bring AI-chip design in-house. The reported ~$7 billion MatX acquisition was abandoned, with MatX instead seeking a valuation of roughly $4 billion. The newest piece of the puzzle is Nscale: Reuters reported Aug. 26 that Anthropic plans to spend $45 billion over six years on computing capacity, while its projected revenue target rises to $190B-$200B by 2028, versus a reported $47B current run rate. A partnership could plausibly be cheaper and faster than the abandoned ~$7 billion acquisition, but there is no reported MatX partnership price yet. Reuters says Anthropic is exploring a partnership after abandoning the acquisition and has not yet selected its final approach. That matters because the original acquisition was explicitly intended to accelerate Anthropic's custom-hardware development. MatX's founders and team also have relevant Google TPU experience. FAQs. How much did Anthropic consider paying for MatX? Anthropic discussed acquiring MatX for roughly $7 billion, according to two people briefed on the matter who spoke to Reuters, though the talks are no longer active. Who founded MatX and what does it build? Why is Anthropic pursuing its own chips? Disclaimer. The information provided is not trading advice. Cryptopolitan.com holds no liability for any investments made based on the information provided on this page. Cryptopolitan strongly recommend independent research and/or consultation with a qualified professional before making any investment decisions. Micah Abiodun makes good use of his Environmental Engineering and Management (MSc) at Tallinn University of Technology (TalTech) to polish content and price prediction news at Cryptopolitan. Now on his 7th year in the crypto media space, he covers major cryptos, altcoins, DeFi, stablecoins, macro trends, and emerging tech. TABLE OF CONTENT

MatX, an LLM-focused chip startup, has raised $500 million in a Series B led by Jane Street and Situational Awareness LP, with participation from Spark Capital, the Collison brothers, Andrej Karpathy, Alchip and Marvell. The company is now valued at an undisclosed amount. The startup is developing the MatX One, a purpose-built AI inference chip targeting large language model workloads. The chip features a splittable systolic array architecture designed to maximise throughput and latency at scale, specifically for high-volume LLM inference. MatX explicitly sacrifices small-model performance and programming ease for specialised LLM performance. The company, now at 100 employees, expects tapeout within a year. The funding will accelerate development and manufacturing, with volume production targeted for the second half of 2027.