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Section 3 — Launch Your First ML Job

SkyPortal simplifies training job launches across any connected infrastructure.

Steps to Launch

  1. Select a Host
    Choose from your connected hosts or clusters.

  2. Choose Environment
    Pick the appropriate Python environment and container if needed.

  3. Define the Job

  4. Training script
  5. Dataset location
  6. Hyperparameters

  7. Resource requirements (GPUs, CPUs)

  8. Run
    Click Start Job or run the equivalent CLI/agent command.

What Happens Next

  • The job is scheduled on your chosen host
  • Logs begin streaming live
  • Metrics such as loss, accuracy, and resource usage begin populating dashboards
  • Budget tracking starts automatically :contentReference[oaicite:7]{index=7}

Best Practices

  • Attach datasets via supported storage backends (e.g., S3, MinIO)
  • Track experiments for reproducibility
  • Use tagging to organize runs