AnthropicAnnouncement
Microsoft, NVIDIA, and Anthropic partnerships
Summary
Microsoft, NVIDIA, and Anthropic announced strategic partnerships to scale Anthropic’s Claude models on Microsoft Azure and broaden enterprise access to them. Anthropic committed to purchase $30 billion of Azure compute capacity and contract additional capacity up to one gigawatt, initially using NVIDIA Grace Blackwell and Vera Rubin systems. NVIDIA and Anthropic will collaborate on design and engineering to optimize Anthropic models for performance, efficiency, and total cost of ownership, while adapting future NVIDIA architectures to Anthropic workloads. Microsoft Foundry customers will be able to access Claude Sonnet 4.5, Claude Opus 4.1, and Claude Haiku 4.5, while Claude remains available across Microsoft’s Copilot products. Microsoft and NVIDIA committed up to $5 billion and $10 billion, respectively, to Anthropic; Amazon remains its primary cloud provider and training partner.
Context
The partnerships are intended to broaden access to Claude, give Azure enterprise customers expanded model choice and new capabilities, and support Anthropic’s future growth through additional compute capacity and hardware collaboration.
Approach / What changed
Anthropic will run Claude on Microsoft Azure powered by NVIDIA, purchase Azure compute capacity, and collaborate with NVIDIA on model and architecture optimization. Microsoft will make Claude available through Microsoft Foundry and its Copilot family, while Microsoft and NVIDIA invest in Anthropic.
Takeaways
Anthropic committed to purchase $30 billion of Azure compute capacity and contract additional capacity up to one gigawatt.
The NVIDIA-Anthropic collaboration covers design and engineering for model performance, efficiency, total cost of ownership, and future NVIDIA architectures.
Microsoft Foundry customers will receive access to Claude Sonnet 4.5, Claude Opus 4.1, and Claude Haiku 4.5.
Source and freshness
- Source
- anthropic.com
- Published
- Added to Yomu
Summaries are generated from the original by a language model. Check the original before relying on it.
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