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Articles

Anthropic’s Claude Now Runs on NVIDIA GB300 Blackwell Ultra in Microsoft Azure

Anthropic's Claude models are now generally available on NVIDIA GB300 Blackwell Ultra GPUs in Microsoft Azure, giving enterprises a powerful foundation for agentic AI.

AIWadmin
Last updated: July 13, 2026 7:42 am
AIWadmin
ByAIWadmin
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Anthropic’s Claude models in Microsoft Foundry — hosted on Microsoft Azure and running on NVIDIA GB300 Blackwell Ultra GPUs — are now generally available, giving Azure-native enterprises a powerful new way to build autonomous and domain-specific AI agents.

As agentic AI continues to drive enterprise innovation and becomes more autonomous, organizations need access to massive computing power to build and deploy specialized agents. Having great inference performance and efficiency also reduces total cost of ownership, making enterprise AI deployments more economically viable.

With Claude in Foundry running on NVIDIA GB300 NVL72 systems with NVIDIA Quantum-X800 InfiniBand networking, enterprises can now build and run more powerful agentic systems, including autonomous and specialized sub-agents that can work across business domains to perform advanced tasks.

NVIDIA is working with Anthropic to extend developer capabilities by integrating NVIDIA tools into the Anthropic stack. That integration enables enterprises to give Claude agents domain-specific abilities through NVIDIA verified agent skills, enabled by access to NVIDIA accelerated computing.

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

This launch builds on the strategic partnership Microsoft, NVIDIA, and Anthropic announced in November to expand enterprise access to Claude and offer Anthropic models on NVIDIA accelerated computing.

TAGGED:AI AgentsAnthropicAnthropic ClaudeEnterprise AIgpumicrosoft-azureNvidia
SOURCES:NVIDIA Blog
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