Anthropic’s Claude Models Run Natively on Nvidia GB300 via Microsoft Azure

Anthropic’s Claude models now run natively on Nvidia GB300 Blackwell Ultra systems through Microsoft Azure, completing a large AI infrastructure push agreed in November 2025. The deal totals about $45 billion: Microsoft plans to invest up to $5 billion in Anthropic, while Nvidia commits up to $10 billion. Combined investment lifted Anthropic’s valuation to an estimated $350 billion. Anthropic pledged $30 billion in Azure compute capacity and plans to use up to 1 gigawatt of computing power from Nvidia’s Grace Blackwell and Vera Rubin systems. In performance testing, Azure’s ND GB300 v6 virtual machines reportedly hit inference throughput above 1.1 million tokens per second per rack, positioning the setup as a measurable benchmark for large model deployment. Cloud availability is broad. Claude is now accessible across AWS, Azure, and Google Cloud, reducing platform friction for customers not primarily running on AWS. This also intensifies competition: Google Cloud hosts Claude despite offering its own Gemini models, while Microsoft’s ecosystem is closely tied to OpenAI and AWS also invests in Anthropic. Nvidia’s dual role—funding Anthropic while supplying the GPU infrastructure—creates a potential “flywheel” of demand for more compute, more hardware deployments, and continued revenue for Nvidia. For traders, this is an AI-capex and infrastructure signal rather than a direct token catalyst, but it may support broader risk sentiment around tech/AI supply chains and data-center demand.
Neutral
This news is primarily about AI infrastructure scale-up (Claude on Nvidia GB300 via Azure) rather than a direct impact on crypto token fundamentals. The $45B capex-style partnership is relevant to broader tech risk appetite and data-center energy/compute demand, which can mildly support sentiment, but it does not change BTC/ETH supply, adoption, or regulation in a direct, near-term way. Historically, large AI/cloud GPU deals have tended to move “AI/tech” sentiment rather than causing durable crypto price trends unless they coincide with crypto-specific catalysts (ETF flows, protocol upgrades, exchange/regulatory outcomes). Here, the most actionable angle for traders is timing: if market is already trading AI-infrastructure optimism, this can add marginal bullish narrative; otherwise it likely remains background news. Net effect: neutral, with possible short-term sentiment bias but limited direct linkage to crypto market stability.