GitHub adds 4M CPU cores, 160PB storage to handle AI-driven code surge
GitHub reported that over the past year it expanded its infrastructure by 4 million CPU cores, 160 petabytes of storage, and 50 Tb/s of networking capacity to cope with a surge in AI-generated code activity. The company said code commits grew sixfold and merged pull requests quadrupled year-over-year, with monthly commits rising from 1.4 billion in April to 7.4 billion by September, and total pushes over the past 12 months exceeding the combined totals of 2024 and 2025.
GoKawiil's interpretation of the reporting above, not reported fact.
GitHub attributes the growth to agentic AI tools, noting that over 40% of pull requests were started by an agent by September, up from 17% in March, suggesting AI coding assistants are becoming deeply embedded in software development workflows. This scale of automated contribution could strain CI/CD pipelines and testing infrastructure industry-wide, and may force other code platforms and developer tool providers to similarly rearchitect for AI-scale throughput.
- GitHub added 4 million CPU cores, 160PB storage, and 50 Tb/s networking in a year to handle AI-driven code growth.
- Monthly commits rose from 1.4 billion in April to 7.4 billion in September, with total pushes topping 2024 and 2025 combined.
- Over 40% of pull requests were agent-initiated by September, up from 17% in March, per GitHub's report.
Source: tomshardware.com — Bruno Ferreira, 2026-10-29
Published there as: “GitHub says massive influx of AI-generated code required extra 4 million CPU cores and 160 petabytes of storage to manage”
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