The Team at Runpod

Our pricing philosophy in one line: we move prices to keep GPUs available.

Python versions carry a security clock and a performance upgrade you're leaving on the table — here's what changes when you move off an old interpreter, and when it's fine to wait.

Learn how to expand multi-node Runpod Clusters in place, add capacity without recreating workloads, and plan scaling for distributed AI training.

Understand the real operational cost of running AI inference on Kubernetes, from cluster management and scaling to reliability and developer overhead.

What eleven teams built at the Runpod Flash Hack Day, and the three demos that took home the top prizes.

Runpod Overdrive adapts inference infrastructure to model and workload behavior. Learn how it works and what it changes for production teams.

See how 1,100 researchers used Runpod for OpenAI's Parameter Golf challenge, improving a language model within 16 MB and 10 minutes.