runai training submit
submit a standard training workload
runai training submit [flags]Examples
# Submit a workload
runai training standard submit <name> -p <project_name> -i runai.jfrog.io/demo/quickstart-demo
# Submit a workload with arguments
runai training standard submit <name> -p <project_name> -i ubuntu -- ls -la
# Submit a workload with a custom command
runai training standard submit <name> -p <project_name> -i ubuntu --command -- echo "Hello, World"
# Submit a workload with a field reference
runai training standard submit <name> -p <project_name> -i ubuntu --env-pod-field-ref "PROJECT=metadata.labels['project']"
# Submit the workload jupyter notebook
runai training standard submit <name> -p <project_name> -i jupyter/scipy-notebook --gpu-devices-request 1 --external-url container=8888 --name-prefix jupyter --command -- start-notebook.sh --NotebookApp.base_url='/${RUNAI_PROJECT}/${RUNAI_JOB_NAME}' --NotebookApp.token='Options
--allow-privilege-escalation Allow the container to gain additional privileges after starting.
--annotation stringArray Set of annotations to populate into the container running the workload
--attach Wait for the pod to start running, then attach to it as if 'runai attach' was called. Implies --tty and --stdin.
--auto-deletion-time-after-completion duration Automatically delete a completed job after a specified duration (e.g. 5s, 2m, 3h). (default 0s)
--backoff-limit int32 Number of times to retry a failed job before marking it as failed.
--capability stringArray Add POSIX capabilities to the container. Defaults to the runtime's default set.
-c, --command If true, override the image's entrypoint with the command supplied after '--'
--configmap-map-volume stringArray Mount a ConfigMap as a volume. Format: name=CONFIGMAP_NAME,path=PATH,subpath=SUBPATH.
--cpu-core-limit positiveFloat Maximum number of CPU cores allowed (e.g. 0.5, 1).
--cpu-core-request positiveFloat Number of CPU cores to request (e.g. 0.5, 1).
--cpu-memory-limit string Maximum memory allowed (e.g. 1G, 500M).
--cpu-memory-request string Amount of memory to request (e.g. 1G, 500M).
--create-home-dir Create a temporary home directory for the container. Defaults to true when --run-as-user is set, false otherwise.
--env-pod-field-ref stringArray Set an environment variable from a pod field reference. Format: ENV_VARIABLE=FIELD_REFERENCE.
-e, --environment stringArray Set environment variables in the container. Format: --environment name=value -environment name-b=value-b.
--exclude-node stringArray Nodes that will be excluded from use by the scheduler. Format: --exclude-node node-a --exclude-node node-b
--existing-pvc stringArray Mount an existing PersistentVolumeClaim. Format: claimname=CLAIM_NAME,path=PATH. Auto-complete supported.
--extended-resource stringArray Request access to a Kubernetes extended resource. Format: resource_name=quantity.
--external-url stringArray Expose a URL from the workload container. Format: container=PORT,url=https://external.runai.com,authusers=user1,authgroups=group1.
--git-sync stringArray Mount a Git repository into the container. Format: name=NAME,repository=REPO,path=PATH,secret=SECRET,rev=REVISION.
-g, --gpu-devices-request positiveInt Number of GPU devices to allocate for the workload (e.g. 1, 2).
--gpu-memory-limit string Maximum GPU memory to allocate (e.g. 1G, 500M).
--gpu-memory-request string Amount of GPU memory to allocate (e.g. 1G, 500M).
--gpu-portion-limit positiveFloat Maximum GPU fraction allowed for the workload (between 0 and 1).
--gpu-portion-request positiveFloat Fraction of a GPU to allocate (between 0 and 1, e.g. 0.5).
--gpu-request-type string Type of GPU request: portion, memory
-h, --help help for submit
--host-ipc Enable host IPC for the container. Default: false.
--host-network Enable host networking for the container. Default: false.
--host-path stringArray Mount a host path as a volume. Format: path=PATH,mount=MOUNT,mount-propagation=None|HostToContainer,readwrite.
-i, --image string The container image to use for the workload.
--image-pull-policy string Image pull policy for the container. Valid values: Always, IfNotPresent, Never.
--label stringArray Set of labels to populate into the container running the workspace
--large-shm Request a large /dev/shm device to mount in the container. Useful for memory-intensive workloads.
--name-prefix string Set defined prefix for the workload name and add index as a suffix
--new-pvc stringArray Create and mount a new PersistentVolumeClaim. Format: claimname=CLAIM_NAME,storageclass=STORAGE_CLASS,size=SIZE,path=PATH,accessmode-rwo,accessmode-rom,accessmode-rwm,ro,ephemeral.
--nfs stringArray Mount an NFS volume. Format: path=PATH,server=SERVER,mountpath=MOUNT_PATH,readwrite.
--node-pools stringArray Node pools to use for scheduling the job, ordered by priority. Format: --node-pools pool-a --node-pools pool-b
--node-type string Enforce node type affinity by setting a node-type label.
--parallelism int32 Maximum number of pods to run in parallel for this job.
--pod-running-timeout duration Timeout for pod to reach running state (e.g. 5s, 2m, 3h).
--port stringArray Expose ports from the workload container. Format: service-type=NodePort,container=80,external=8080.
--preferred-pod-topology-key string If possible, schedule all pods of this workload on nodes with a matching label key and value. Format: key=VALUE.
--priority string Set the priority class for the workload.
-p, --project string Specify the project for the command to use. Defaults to the project set in the context, if any. Use 'runai project set <project>' to set the default.
--required-pod-topology-key string Require scheduling pods of this workload on nodes with a matching label key and value. Format: key=VALUE.
--restart-policy restart-policy Restart policy for worker pods. Valid values: Always, OnFailure, Never.
--run-as-gid int Group ID to run the container as.
--run-as-uid int User ID to run the container as.
--run-as-user Set the user and group IDs for the container. Uses local terminal credentials if not specified.
--runs int32 Number of successful runs required for this workload to be considered completed.
--s3 stringArray Mount an S3 bucket as a volume. Format: name=NAME,bucket=BUCKET,path=PATH,accesskey=ACCESS_KEY,url=URL.
--seccomp-profile string Seccomp profile for the container. Valid values: RuntimeDefault, Unconfined, or Localhost.
--secret-volume stringArray Mount a Kubernetes Secret as a volume. Format: path=PATH,name=SECRET_RESOURCE_NAME.
--stdin Keep stdin open on the container(s) in the pod, even if nothing is attached.
--supplemental-groups ints Comma-separated list of group IDs for the container user.
--termination-grace-period duration The length of time (like 5s or 2m, higher than zero) the workload's pod is expected to terminate gracefully upon probe failure. In case value is not specified, kubernetes default of 30 seconds applies (default 0s)
--toleration stringArray Add Kubernetes tolerations. Format: operator=Equal|Exists,key=KEY,[value=VALUE],[effect=NoSchedule|NoExecute|PreferNoSchedule],[seconds=SECONDS].
-t, --tty Allocate a TTY for the container. Useful for interactive workloads.
--user-group-source string How to determine user/group IDs. Valid values: fromTheImage, fromIdpToken.
--wait-for-submit duration How long to wait for the workload to be created in the cluster. Default: 1m.
--working-dir string Working directory inside the container. Overrides the default working directory set in the image.Options inherited from parent commands
--config-file string config file name; can be set by environment variable RUNAI_CLI_CONFIG_FILE (default "config.json")
--config-path string config path; can be set by environment variable RUNAI_CLI_CONFIG_PATH
-d, --debug enable debug mode
-q, --quiet enable quiet mode, suppress all output except error messages
--verbose enable verbose modeSEE ALSO
runai training - training management
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