GitHub announced a substantial increase in platform activity, reaching 7.4 billion commits in September. This marks a significant jump from 2.9 billion commits reported in August and 1.4 billion in April. The company attributes this rapid growth primarily to 'agentic demand,' indicating increased automated activity on the platform.
To accommodate the escalating demand, GitHub has expanded its core infrastructure. This year, the platform added 4 million CPU cores, primarily on Azure, along with 160 petabytes of high-speed storage. Additionally, GitHub increased its network capacity by 50 Tb/s to manage the increased data flow and provided more compute power for GitHub Actions.
GitHub is rearchitecting its platform to separate compute and storage, a strategy it first discussed earlier this month. This new architecture is projected to deliver up to 35 times higher write throughput based on internal benchmarks. Jay Parikh, EVP for Core AI at Microsoft, stated that while adding capacity is necessary, architectural changes are also crucial for handling the evolving nature and volume of software development.
The move to separate compute and storage indicates GitHub's transition from a legacy foundation that struggled to scale with current demands. Migrating to Azure and its services became a necessary step, especially as GitHub's own data centers reached capacity limits.
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GitHub expanded its infrastructure with 4 million CPU cores, 160 petabytes of storage, and 50 Tb/s of networking capacity to manage a massive increase in AI-generated code. Code commits grew sixfold and merged pull requests quadrupled year-over-year, driven by agentic AI, which now initiates over 40% of pull requests.
GitHub reported 7.4 billion commits in September, a significant increase from 2.9 billion in August, driven by 'agentic demand.' To manage this growth, GitHub added 4 million CPU cores, 160 petabytes of storage, and 50 Tb/s of network capacity, while also rearchitecting its platform to separate compute and storage.