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Microsoft prioritizes internal GPU allocation for Copilot over Azure cloud rentals
Tuesday, February 3, 2026 at 03:40 PM
Microsoft is prioritizing GPU allocation for first-party AI services like Microsoft 365 Copilot and GitHub Copilot over renting capacity through Azure. This internal allocation strategy impacted Azure's revenue growth, which would have exceeded 40% if the hardware had been dedicated to cloud customers. The move is designed to capture higher margins and defend its productivity suite against competitors like OpenAI and Claude.
Context
Microsoft recently prioritized internal GPU allocation for its Copilot ecosystem over external Azure cloud rentals, reflecting a strategic shift toward high-margin software. Management revealed that while Azure growth remained strong, it would have exceeded 40% if the company had leased that diverted capacity to third-party developers instead. By constraining its cloud rental business, Microsoft is betting that first-party AI integrations will provide a more defensible moat and higher long-term returns than infrastructure-as-a-service.
This prioritization comes as Microsoft faces increasing competition in the productivity space from rivals like OpenAI and Anthropic. By ensuring M365 Copilot and GitHub Copilot have sufficient compute power, the company aims to lock in enterprise users before competitors can scale. This move underscores the ongoing semiconductor supply chain constraints, where the scarcity of high-end chips forces major players to choose between scaling cloud market share or securing their own software dominance.
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