Anthropic's Claude models are now generally available in Microsoft Foundry on Azure, running on NVIDIA GB300 Blackwell U

Anthropic's Claude models in Microsoft Foundry, hosted on Microsoft Azure and powered by NVIDIA GB300 Blackwell Ultra GPUs, are now generally available. This offering gives Azure-native enterprises a powerful new way to build autonomous and domain-specific AI agents.

As agentic AI becomes increasingly autonomous and drives enterprise innovation, organizations need access to powerful computing infrastructure to build and deploy specialized agents that can accelerate essential business tasks. Superior inference performance and efficiency reduce total cost of ownership and deliver measurable business results.

Claude in Foundry runs on NVIDIA GB300 NVL72 systems with NVIDIA Quantum-X800 InfiniBand networking, enabling enterprises to build and run more powerful agentic systems. These include autonomous and specialized sub-agents capable of working across business domains to perform advanced tasks.

NVIDIA is collaborating with Anthropic to extend developer capabilities by integrating NVIDIA tools into the Anthropic stack. This integration allows enterprises to give Claude agents domain-specific abilities. Through NVIDIA verified agent skills, enabled by access to NVIDIA accelerated computing, enterprises can embed AI agents deeply into their business and use them as the operating system for the organization.

Enterprises can run Claude agents on Azure using the NVIDIA Secure Agent Workspace Reference Design. This blueprint enables running autonomous agents in a governed environment where identity, network access, credentials and runtime policy are controlled at the infrastructure level.

This deployment builds on the strategic partnership announced in November among Microsoft, NVIDIA and Anthropic to expand enterprise access to Claude and offer Anthropic models on NVIDIA accelerated computing. Organizations can get started through Claude in Microsoft Foundry with additional details available in Foundry documentation.