
Anthropic will deploy 2 gigawatts of AMD GPUs for Claude in a deal worth up to $5 billion
Quick Answer
AMD is investing up to $5 billion in Anthropic, which will deploy 2 gigawatts of AMD Instinct MI450 GPUs for its Claude models.
Quick Take
This partnership aims to enhance AMD's ROCm software platform and solidify its position in the AI GPU market against Nvidia.
Key Points
- Anthropic's first gigawatt phase begins in H1 2027.
- The systems will utilize MI455X GPUs and AMD EPYC 'Venice' processors.
- AMD aims to compete with Nvidia in the AI GPU market.
- Claude will be used internally by AMD's development teams.
- Similar deals have been struck with Meta and OpenAI.
📖 Reader Mode
~1 min readAMD is investing up to $5 billion in Anthropic. In return, Anthropic plans to deploy up to 2 gigawatts of AMD Instinct MI450 GPUs in Helios server systems for training and running its Claude models. The first gigawatt phase starts in the first half of 2027. The systems pair MI455X GPUs with AMD EPYC "Venice" processors and AMD networking tech. Anthropic already uses AMD's MI355X GPUs.
Both companies also plan a multi-year effort to use Claude to improve AMD's ROCm software platform and GPU workloads. AMD will use Claude internally across its dev teams. Anthropic co-founder Tom Brown says working with different hardware providers lets the company match workloads to the best-suited hardware.
For AMD, this is a big push to establish itself alongside Nvidia as a GPU supplier for AI companies. AMD has struck similar deals with Meta and OpenAI. Critics point to the circular nature of these agreements: chip and cloud companies fund AI labs, which then spend that money buying from them. Whether AI labs can eventually cover these bills on their own remains an open question.
— Originally published at the-decoder.com
Want this in your inbox every morning?
Daily brief at your local 8am — bilingual EN/中文, free.
More from The Decoder
See more →
An AI model programmed nonstop for 19 days on a single MirrorCode task that cost $2,600 to run
Epoch AI's MirrorCode benchmark reveals Claude Opus 4.7 as the leader with a 56% solve rate, reconstructing a 16,000-line toolkit in 14 hours. Despite this, all models tested struggle with the most complex tasks, highlighting limitations in current AI capabilities. The single task consumed $2,600 over 19 days, raising questions about cost-effectiveness in AI development.

