Microsoft brings Anthropic's Claude models to Azure in multibillion-dollar deal
Microsoft has entered into a strategic partnership with Anthropic to offer Claude models on Azure. As part of the agreement, the AI firm will purchase $30 billion in Azure capacity.

What happened?
Microsoft and Anthropic have formed a strategic partnership that makes Anthropic's Claude models available through Microsoft Foundry on Azure. The agreement includes Anthropic purchasing Azure computing capacity valued at $30 billion and securing agreements for additional computing capacity of up to one gigawatt. Azure customers will now have access to models such as Claude Sonnet 4.5, Claude Opus 4.1, and Claude Haiku 4.5.
Key facts
| Datum för tillkännagivande | 22 november 2025 |
|---|---|
| Värde på Azure-köp | 30 miljarder USD |
| Ytterligare beräkningskapacitet | Upp till 1 gigawatt |
| Inkluderade modeller | Claude Sonnet 4.5, Opus 4.1, Haiku 4.5 |
Why it matters
The agreement provides Microsoft's cloud customers with a broader range of advanced AI models directly within the Azure ecosystem, bolstered by a concurrent hardware collaboration with Nvidia. For Anthropic, the deal secures large-scale computing infrastructure for future model training and operations.
Who is affected?
The partnership primarily concerns companies and developers building AI applications in Microsoft Azure who wish to utilise Anthropic's Claude models. It also impacts the wider cloud market as Anthropic diversifies its infrastructure base beyond existing agreements.
Impact on the EU
Customers within the EU can access the Claude models via Azure in regions where Microsoft Foundry and relevant data centre services are provided, provided that requirements under the EU AI Act and GDPR are met.
What else you should know
Amazon has historically been Anthropic's primary cloud partner, a role the e-commerce giant retains despite Microsoft's new initiative. The tripartite collaboration also entered into with Nvidia aims to future-proof hardware optimisation for upcoming AI chips.
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