To The Moon

Anthropic is in the process of incorporating Advanced Micro Devices into its compute supply chain. According to an analysis by semiconductor industry research firm SemiAnalysis, a senior director of AMD's AI business disclosed relevant information in public GitHub code, indicating that Anthropic will become an AMD customer. This development suggests Anthropic is actively broadening its chip sources to reduce dependency on a single supplier.

On Monday, based on an analytical post published by SemiAnalysis on social media platform X, the firm concluded by interpreting publicly released GitHub code from AMD's senior AI director that Anthropic will procure AMD chips. SemiAnalysis stated in the post that it would further explain the code details and related context.

AMD Gains a Strategic AI Client

If the information is accurate, AMD will secure a significant new client in the high-end AI training market, previously dominated by Nvidia and Google. It also signifies that Anthropic's compute infrastructure strategy is accelerating towards diversification.

GitHub Code Serves as Unintended Leak Channel

The path of this information disclosure is unusual. It did not come from an official announcement or media report but rather from code content posted by an internal AMD executive on the public code hosting platform GitHub. SemiAnalysis professionally interpreted this code and publicly shared its conclusions on X, pointing out that it clearly involved information related to Anthropic as an AMD customer.

Such instances of sensitive business information being unintentionally leaked through public code repositories are not uncommon in the tech industry. Given that GitHub code is publicly searchable and the publisher is a senior director of AMD's AI business, the information's credibility is relatively high. SemiAnalysis promised in its post to further deconstruct the code logic and details to provide a more complete interpretation for the market.

Anthropic's Pre-existing Multi-Vendor Strategy

Prior to this news about AMD, Anthropic had already established partnerships with multiple chip and compute suppliers. Google's Tensor Processing Units (TPUs) are a significant compute source for Anthropic, closely tied to Google's strategic investment in the company. Furthermore, Anthropic had previously included Samsung in its supplier network.

This existing setup indicates that Anthropic's compute procurement strategy does not rely on a single source but has long been focused on building a diversified supplier matrix. The addition of AMD will further enrich this matrix, providing Anthropic with more high-performance computing options beyond Nvidia GPUs.

Compute Diversification as a Systemic Choice for AI Firms

For Anthropic, introducing AMD carries multiple strategic values. As the scale of model training and inference continues to expand, issues such as supply chain risk, limited bargaining power, and technological lock-in associated with a single chip supplier are becoming increasingly prominent. By concurrently utilizing products from multiple suppliers like Google TPUs, Samsung, and AMD, Anthropic can seek a better balance between cost control, supply stability, and technological flexibility.

For AMD, securing Anthropic as a customer holds significant benchmark importance. AMD has been consistently increasing its investments in the data center AI chip sector in recent years, with its MI series GPUs considered one of the main competitive options to Nvidia's H-series products. If Anthropic formally becomes an AMD customer, it will help AMD establish a stronger market presence among top-tier AI lab clients and bring substantial incremental revenue to its data center AI chip business.

Anthropic's move reflects a broader industry trend. As leading institutions like OpenAI, Google DeepMind, and Meta AI experience continuously rising demand for compute, AI companies are systematically evaluating and expanding their chip supply sources to avoid the risks of over-concentration on a single supplier. This trend objectively creates more opportunities for Nvidia's competitors, such as AMD and Intel, to enter the supply chains of core AI clients.