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AI Training Capabilities and Limitations

Find out about current capabilities and limitations of AI Training

Last updated 29th October, 2020.

Capabilities and known limits

Jobs resources are limited to:

  • A minimum of 1 GPU and a maximum of 4 GPUs per job
  • No customisable CPU and memory resources
  • No duration limitation on job execution
  • No limitation on number of parallel execution

Available ports to public network

  • HTTP (80, 443, 5000, 8000, 8080, 8443, 9090)
  • Tensorboard (6006)
  • JupyterLab (8888)

OVHcloud vRack

  • AI Training cannot use or access OVHcloud vRack.

Available hardware for jobs

Available regions for jobs

  • GRA (Gravelines in France)
  • BHS (Beauharnois in Canada)

Available storage for data volumes

  • Public Cloud Object Storage (Any Region)

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