Anthropic and OpenAI Diversify AI Compute Beyond NVIDIA
Key takeaways
- Major AI labs are actively diversifying their compute infrastructure.
- AMD is gaining significant traction as an alternative to NVIDIA for AI workloads.
- This trend indicates a push for supply chain resilience and competitive pricing.
- The AI hardware market is becoming more competitive with multiple key players.
Who benefits
Summary
The latest State of AI compute index reveals that Anthropic has significantly increased its use of AMD MI450s, making non-NVIDIA silicon account for 7 out of its 8 gigawatts of contracted compute. OpenAI also shows substantial diversification, with 16.75 out of 26.75 gigawatts of its compute coming from non-NVIDIA providers like AMD, Broadcom, and Cerebras.
Why it matters
This diversification in AI compute infrastructure signals a maturing market and potential shifts in competitive dynamics among hardware providers. Professionals in AI engineering and strategy should be aware of these trends to make informed decisions about future hardware investments and partnerships.
How to implement this in your domain
- 1Evaluate alternative AI hardware providers like AMD, Broadcom, and Cerebras for specific workload needs.
- 2Assess the cost-effectiveness and performance benefits of diversifying compute infrastructure.
- 3Develop a multi-vendor strategy for AI hardware procurement to mitigate supply chain risks.
- 4Stay informed on emerging chip architectures and their potential impact on AI development.
Original post by @nathanbenaich
"i refreshed the @stateofai compute index (cutoff 1 aug 26): - anthropic added up to 2gw of amd mi450s, which makes non-nvidia silicon now 7 of its 8gw of contracted compute - openai: 16.75 of 26.75gw is non-nvidia across amd, broadcom and cerebras read more:"
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Originally posted by @nathanbenaich on X · view source
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