ML engineers and startups needing on demand or serverless GPU capacity for training and inference.

RunPod is a GPU cloud platform offering on demand pods, serverless autoscaling endpoints, and multi GPU clusters for AI workloads.

Provisioned through RunPod's web console, API, or CLI, running on RunPod's own and partner data centers worldwide.

Founded in 2022 and actively operating as a commercial GPU cloud provider as of 2026.

Lets teams rent GPUs by the second without long term contracts, scaling inference endpoints from zero to thousands of workers.

Requires a RunPod account and billing, and workloads are typically packaged as Docker containers or custom handler functions.

Closed source commercial hosted service; requires account credentials and payment, and containers and data run on RunPod operated or partner GPU servers.