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This command will deploy the model to the inferless server. You should have run the command inferless init and have the inferless.yaml before running this command.

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Options:

  • --gpu TEXT: Denotes the machine type (A10/A100/T4). [required]
  • --region TEXT: Inferless region. Defaults to Inferless default region.
  • --beta: Deploys the model with v2 endpoints.
  • --fractional: Use fractional machine type (default: dedicated).
  • --runtime TEXT: Runtime name or file location. if not provided default Inferless runtime will be used.
  • --volume TEXT: Volume name.
  • --volume_mount_path TEXT: volume mount path.
  • --env TEXT: Key=value pairs for model environment variables.
  • --inference-timeout INTEGER: Inference timeout in seconds. [default: 180]
  • --scale-down-timeout INTEGER: Scale down timeout in seconds. [default: 600]
  • --container-concurrency INTEGER: Container concurrency level. [default: 1]
  • --secret TEXT: Secret names to attach to the deployment.
  • --runtimeversion TEXT: Runtime version (default: latest version of runtime).
  • --max-replica INTEGER: Maximum number of replicas. [default: 1]
  • --min-replica INTEGER: Minimum number of replicas. [default: 0]
  • -c, --config TEXT: Inferless config file path to override from inferless.yaml [default: inferless.yaml]
  • -t, --runtime-type TEXT: Type of runtime to deploy [fastapi, triton]. Defaults to triton. [default: triton]
  • --help: Show this message and exit.

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Usage:

$ inferless deploy [OPTIONS]
Once deployed you will be able to see the model import id in the terminal. You can check the progress of the model in Dashboard

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Example:

$ inferless deploy --gpu T4 --runtime ./inferless-runtime-config.yaml
To redeploy the model with new code. 
inferless model rebuild --model-id <model_id> -l
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