AI IndustryAnthropicJul 23, 2026 09:24 UTC

Anthropic and AMD Sign Major Deal Worth Up to $5 Billion

AMD is investing up to $5 billion in Anthropic, and in return, Anthropic will procure AMD's GPU 'MI450' at a maximum capacity of 2 gigawatts to train and operate Claude models. AMD has already signed major contracts with Meta and OpenAI, strengthening its push to compete against Nvidia in the AI chip market. However, some critics argue that the funds are merely circulating between the two companies.

Anthropic and AMD Sign Major Deal Worth Up to $5 Billion

Anthropic and AMD have signed a major deal worth up to $5 billion. Under this agreement, Anthropic will procure AMD's GPU 'MI450' at a maximum capacity of 2 gigawatts to train and operate its conversational AI model 'Claude'.

It is important to understand the landscape of the AI chip market. Currently, Nvidia dominates this market with an overwhelming share, and most AI development companies rely on Nvidia's GPUs. AMD is positioning itself as a competitor to break this dominance, and the contract with Anthropic is part of that strategy. AMD has already signed major deals with Meta and OpenAI, and efforts to break Nvidia's near-monopoly continue.

The structure of this contract is not straightforward. AMD invests up to $5 billion in Anthropic, and in return, Anthropic procures and utilizes AMD's GPUs in large quantities. In other words, capital flows from AMD to Anthropic, which then purchases AMD's products, creating a circular cash flow. This arrangement has drawn criticism, with some arguing that the funds are merely circulating.

However, the substantive value of such transactions cannot be ignored. For Anthropic, a stable procurement route for GPUs is secured. For AMD, it can accumulate proven cases of adoption by major AI companies, enhancing the market valuation of its chips. This goes beyond mere cash flow dynamics and involves strengthening each company's business foundation.

The term '2 gigawatts' is not commonly heard, but it refers to AI chip processing capacity measured in terms of data center power consumption. This corresponds to operating tens of thousands of GPUs, reflecting the enormous computational resources required for training large language models. As AI models become more sophisticated, competition for chip procurement is intensifying.

This development carries significant implications for the entire AI industry supply chain. It is likely that AI development companies will continue to diversify their dependence on specific chip manufacturers. With AMD GPUs being seriously adopted in state-of-the-art models like Claude, the company is building credentials as a second source for AI chips after Nvidia. Whether chip procurement diversifies further will be a crucial factor influencing the competitive landscape of the AI industry going forward.

#Anthropic#AMD#GenerativeAI#AIChip#Semiconductor#Claude#DataCenter
AI issue Staff

This article is an original work independently written and edited by the AI issue editorial team based on factual reporting. © AI issue. Unauthorized reproduction, redistribution, or use for AI training is prohibited.

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