Microsoft has reportedly turned to Amazon Web Services to support GitHub operations as AI-driven demand strains cloud infrastructure. The move highlights the growing pressure on technology companies to secure computing capacity amid the rapid expansion of artificial intelligence services.
Earlier this month, SpaceX and Google disclosed a new deal under which Google will pay SpaceX $920 million a month for AI compute capacity from October 2026 to June 2029. SpaceX has also signed a similar deal with Anthropic.
The problem stems from the rapid rise of AI coding tools. These tools have made it easier for developers to write software, leading to an explosion in the amount of code being created. That surge has flooded GitHub with new projects and code updates, putting immense pressure on the platform's computing resources.
GitHub commits, records of code changes that serve as a proxy for development activity, are on pace to reach 14 billion in 2026, up from 1 billion in 2025, Chief Operating Officer Kyle Daigle wrote on X in April. That extraordinary growth has pushed GitHub's infrastructure to its limits.
"The incredible spike in agentic development that began late last year has tested our infrastructure's limits," a Microsoft spokesperson told Business Insider.
To cope with the surge, Microsoft is "both accelerating our move to Azure and continuing to explore a multi-cloud strategy to ensure we have the future capacity, compute elasticity, and horizontal scale required to support continued growth," the spokesperson added.
GitHub, which Microsoft acquired in 2018, is a popular place for engineers to store and manage code and collaborate on projects. As an independent company, GitHub mostly operated its own data centers, but Microsoft had planned to move the coding platform entirely to its Azure cloud service by 2027.
The reported move is notable because Microsoft and Amazon are fierce rivals in the cloud computing market. Microsoft's Azure and Amazon Web Services (AWS) have spent years battling for market share, competing for the same enterprise customers and AI workloads.
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The AI boom is creating strange new alliances. While these deals might seem strange, the main goal is to keep popular services running for customers. Increasing demands for the implementation of AI technologies have never put such a strain on the global cloud infrastructure before. In view of this situation, collaboration, capacity enhancement, and infrastructure development are crucial in ensuring that the next wave of developments takes place.