Scaling Kubernetes to 7,500 nodes
OpenAI Blog
A Kubernetes cluster was scaled to 7,500 nodes to support both large model training and smaller research experiments. The infrastructure handles models like GPT-3, CLIP, and DALL·E alongside rapid iteration work on scaling laws research. This enables organizations to run diverse workloads—from massive production models to exploratory studies—on a single platform.
Why it matters
We’ve scaled Kubernetes clusters to 7,500 nodes, producing a scalable infrastructure for large models like GPT-3, CLIP, and DALL·E, but also for rapid small-scale iterative research such as Scaling Laws for Neural Language Models.
