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Run GPU jobs with RunCompute#

Send a training, fine-tuning or batch job as a container image. RunCompute compares machines from seven providers, runs the job on the one with the lowest estimated cost to finish, stops it at your budget, and restarts it from its last checkpoint if the machine is taken away.

You submit and follow jobs from Python, from the runcompute command, from the console, or over plain HTTP.

Preview. RunCompute is in preview. Jobs run on a simulated scheduler: matching, spend, preemptions and checkpoints behave as documented, but no real GPU machine is started and your container is not executed yet.

Get started#

  1. Install and sign in
  2. Run your first job
  3. Read logs and outputs

Run your code#

Reference#

For coding agents#

A plain-text copy of every page is at /docs/llms.txt. The OpenAPI schema is at /api/openapi.json.