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tensorkube deploy

Deploy your containerized application on Tensorkube. This command requires a dockerfile to be present in the current directory. Usage: 
tensorkube deploy [OPTIONS]
Options:
  • --gpus INTEGER [default: 0]: Number of GPUs needed for the service.
  • --gpu-type Choice(['V100', 'A10G', 'T4', 'L4', 'L40S', 'A100', 'H100']): Type of GPU.
  • --cpu FLOAT [default: 100]: Number of CPU millicores. 1000 = 1 CPU
  • --memory FLOAT [default: 200]: Amount of RAM in megabytes.
  • --min-scale INTEGER [default: 0]: Minimum number of pods to run.
  • --max-scale INTEGER [default: 3]: Maximum number of pods to run.
  • --env TEXT: Environment to deploy the service to.
  • --github-actions BOOLEAN [default: False]: Deploying from Github Actions.
  • --secret TEXT: Secret to use for the deployment.
  • --efs BOOLEAN [default: False]: Flag to use EFS for the deployment.
  • --concurrency INTEGER [default: 100]: Number of concurrent requests for a single pod to handle at a time. Pods Scale between min and max scale.
  • --config-file TEXT: Path to the config.yaml file. you can use this file instead of cli flags. Keys in config.yaml take precedence than cli flags.
  • --domain-name TEXT: Domain to use for the deployment.
  • --port INTEGER [default: 80]: Port to expose the service on.
  • --help BOOL [default: false]: Show this message and exit.