--- title: "POST /v1/{+parent}/notebookRuntimeTemplates" method: POST path: "/v1/{+parent}/notebookRuntimeTemplates" tags: ["projects"] --- # POST /v1/{+parent}/notebookRuntimeTemplates `POST /v1/{+parent}/notebookRuntimeTemplates` Creates a NotebookRuntimeTemplate. ## Path parameters - `parent` string, required ## Query parameters - `notebookRuntimeTemplateId` string ## Request body - GoogleCloudAiplatformV1NotebookRuntimeTemplate — A template that specifies runtime configurations such as machine type, runtime version, network configurations, etc. Multiple runtimes can be created from a runtime template. - `dataPersistentDiskSpec` GoogleCloudAiplatformV1PersistentDiskSpec — Represents the spec of persistent disk and hyperdisk options. - `diskSizeGb` string, int64 — Size in GB of the disk (default is 100GB). - `diskType` string — Type of the disk (default is "pd-standard"). Valid values: "pd-ssd" (Persistent Disk Solid State Drive) "pd-standard" (Persistent Disk Hard Disk Drive) "pd-balanced" (Balanced Persistent Disk) "pd-extreme" (Extreme Persistent Disk) "hyperdisk-balanced" (Hyperdisk Balanced) "hyperdisk-extreme" (Hyperdisk Extreme) "hyperdisk-balanced-high-availability" (Hyperdisk Balanced High Availability) "hyperdisk-ml" (Hyperdisk ML) "hyperdisk-throughput" (Hyperdisk Throughput) - `encryptionSpec` GoogleCloudAiplatformV1EncryptionSpec — Represents a customer-managed encryption key specification that can be applied to a Vertex AI resource. - `kmsKeyName` string — Required. Resource name of the Cloud KMS key used to protect the resource. The Cloud KMS key must be in the same region as the resource. It must have the format `projects/{project}/locations/{location}/keyRings/{key_ring}/cryptoKeys/{crypto_key}`. - `notebookRuntimeType` 'NOTEBOOK_RUNTIME_TYPE_UNSPECIFIED' | 'USER_DEFINED' | 'ONE_CLICK' — Optional. Immutable. The type of the notebook runtime template. - `shieldedVmConfig` GoogleCloudAiplatformV1ShieldedVmConfig — A set of Shielded Instance options. See [Images using supported Shielded VM features](https://cloud.google.com/compute/docs/instances/modifying-shielded-vm). - `enableSecureBoot` boolean — Defines whether the instance has [Secure Boot](https://cloud.google.com/compute/shielded-vm/docs/shielded-vm#secure-boot) enabled. Secure Boot helps ensure that the system only runs authentic software by verifying the digital signature of all boot components, and halting the boot process if signature verification fails. - `serviceAccount` string — Deprecated: This field is ignored and the "Vertex AI Notebook Service Account" (service-PROJECT_NUMBER@gcp-sa-aiplatform-vm.iam.gserviceaccount.com) is used for the runtime workload identity. See https://cloud.google.com/iam/docs/service-agents#vertex-ai-notebook-service-account for more details. For NotebookExecutionJob, use NotebookExecutionJob.service_account instead. The service account that the runtime workload runs as. You can use any service account within the same project, but you must have the service account user permission to use the instance. If not specified, the [Compute Engine default service account](https://cloud.google.com/compute/docs/access/service-accounts#default_service_account) is used. - `displayName` string — Required. The display name of the NotebookRuntimeTemplate. The name can be up to 128 characters long and can consist of any UTF-8 characters. - `machineSpec` GoogleCloudAiplatformV1MachineSpec — Specification of a single machine. - `reservationAffinity` GoogleCloudAiplatformV1ReservationAffinity — A ReservationAffinity can be used to configure a Vertex AI resource (e.g., a DeployedModel) to draw its Compute Engine resources from a Shared Reservation, or exclusively from on-demand capacity. - `key` string — Optional. Corresponds to the label key of a reservation resource. To target a SPECIFIC_RESERVATION by name, use `compute.googleapis.com/reservation-name` as the key and specify the name of your reservation as its value. - `reservationAffinityType` 'TYPE_UNSPECIFIED' | 'NO_RESERVATION' | 'ANY_RESERVATION' | 'SPECIFIC_RESERVATION' — Required. Specifies the reservation affinity type. - `values` string[] — Optional. Corresponds to the label values of a reservation resource. This must be the full resource name of the reservation or reservation block. - `gpuPartitionSize` string — Optional. Immutable. The Nvidia GPU partition size. When specified, the requested accelerators will be partitioned into smaller GPU partitions. For example, if the request is for 8 units of NVIDIA A100 GPUs, and gpu_partition_size="1g.10gb", the service will create 8 * 7 = 56 partitioned MIG instances. The partition size must be a value supported by the requested accelerator. Refer to [Nvidia GPU Partitioning](https://cloud.google.com/kubernetes-engine/docs/how-to/gpus-multi#multi-instance_gpu_partitions) for the available partition sizes. If set, the accelerator_count should be set to 1. - `tpuTopology` string — Immutable. The topology of the TPUs. Corresponds to the TPU topologies available from GKE. (Example: tpu_topology: "2x2x1"). - `machineType` string — Immutable. The type of the machine. See the [list of machine types supported for prediction](https://cloud.google.com/gemini-enterprise-agent-platform/machine-learning/predictions/configure-compute#machine-types) See the [list of machine types supported for custom training](https://cloud.google.com/gemini-enterprise-agent-platform/machine-learning/training/configure-compute#machine-types). For DeployedModel this field is optional, and the default value is `n1-standard-2`. For BatchPredictionJob or as part of WorkerPoolSpec this field is required. - `acceleratorCount` integer — The number of accelerators to attach to the machine. For [accelerator optimized machine types](https://cloud.google.com/compute/docs/accelerator-optimized-machines), One may set the accelerator_count from 1 to N for machine with N GPUs. If accelerator_count is less than or equal to N / 2, Agent Platform co-schedules the replicas of the model into the same VM to save cost. For example, if the machine type is a3-highgpu-8g, which has 8 H100 GPUs, one can set accelerator_count to 1 to 8. If accelerator_count is 1, 2, 3, or 4, Agent Platform co-schedules 8, 4, 2, or 2 replicas of the model into the same VM to save cost. When co-scheduling, CPU, memory and storage on the VM will be distributed to replicas on the VM. For example, one can expect a co-scheduled replica requesting 2 GPUs out of a 8-GPU VM will receive 25% of the CPU, memory and storage of the VM. Note that the feature is not compatible with multihost_gpu_node_count. When multihost_gpu_node_count is set, the co-scheduling will not be enabled. - `acceleratorType` 'ACCELERATOR_TYPE_UNSPECIFIED' | 'NVIDIA_TESLA_K80' | 'NVIDIA_TESLA_P100' | 'NVIDIA_TESLA_V100' | 'NVIDIA_TESLA_P4' | 'NVIDIA_TESLA_T4' | 'NVIDIA_TESLA_A100' | 'NVIDIA_A100_80GB' | 'NVIDIA_L4' | 'NVIDIA_H100_80GB' | 'NVIDIA_H100_MEGA_80GB' | 'NVIDIA_H200_141GB' | 'NVIDIA_B200' | 'NVIDIA_GB200' | 'NVIDIA_RTX_PRO_6000' | 'TPU_V2' | 'TPU_V3' | 'TPU_V4_POD' | 'TPU_V5_LITEPOD' — Immutable. The type of accelerator(s) that may be attached to the machine as per accelerator_count. - `eucConfig` GoogleCloudAiplatformV1NotebookEucConfig — The euc configuration of NotebookRuntimeTemplate. - `eucDisabled` boolean — Input only. Whether EUC is disabled in this NotebookRuntimeTemplate. In proto3, the default value of a boolean is false. In this way, by default EUC will be enabled for NotebookRuntimeTemplate. - `bypassActasCheck` boolean — Output only. Whether ActAs check is bypassed for service account attached to the VM. If false, we need ActAs check for the default Compute Engine Service account. When a Runtime is created, a VM is allocated using Default Compute Engine Service Account. Any user requesting to use this Runtime requires Service Account User (ActAs) permission over this SA. If true, Runtime owner is using EUC and does not require the above permission as VM no longer use default Compute Engine SA, but a P4SA. - `name` string — The resource name of the NotebookRuntimeTemplate. - `description` string — The description of the NotebookRuntimeTemplate. - `isDefault` boolean — Output only. Deprecated: This field has no behavior. Use notebook_runtime_type = 'ONE_CLICK' instead. The default template to use if not specified. - `networkTags` string[] — Optional. The Compute Engine tags to add to runtime (see [Tagging instances](https://cloud.google.com/vpc/docs/add-remove-network-tags)). - `updateTime` string, google-datetime — Output only. Timestamp when this NotebookRuntimeTemplate was most recently updated. - `networkSpec` GoogleCloudAiplatformV1NetworkSpec — Network spec. - `enableInternetAccess` boolean — Whether to enable public internet access. Default false. - `subnetwork` string — The name of the subnet that this instance is in. Format: `projects/{project_id_or_number}/regions/{region}/subnetworks/{subnetwork_id}` - `network` string — The full name of the Google Compute Engine [network](https://cloud.google.com//compute/docs/networks-and-firewalls#networks) - `labels` object — The labels with user-defined metadata to organize the NotebookRuntimeTemplates. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. See https://goo.gl/xmQnxf for more information and examples of labels. - `etag` string — Used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens. - `softwareConfig` GoogleCloudAiplatformV1NotebookSoftwareConfig — Notebook Software Config. This is passed to the backend when user makes software configurations in UI. - `colabImage` GoogleCloudAiplatformV1ColabImage — Colab image of the runtime. - `description` string — Output only. A human-readable description of the specified colab image release, populated by the system. Example: "Python 3.10", "Latest - current Python 3.11" - `releaseName` string — Optional. The release name of the NotebookRuntime Colab image, e.g. "py310". If not specified, detault to the latest release. - `postStartupScriptConfig` GoogleCloudAiplatformV1PostStartupScriptConfig — Post startup script config. - `postStartupScriptUrl` string — Optional. Post startup script url to download. Example: `gs://bucket/script.sh` - `postStartupScriptBehavior` 'POST_STARTUP_SCRIPT_BEHAVIOR_UNSPECIFIED' | 'RUN_ONCE' | 'RUN_EVERY_START' | 'DOWNLOAD_AND_RUN_EVERY_START' — Optional. Post startup script behavior that defines download and execution behavior. - `postStartupScript` string — Optional. Post startup script to run after runtime is started. - `env` GoogleCloudAiplatformV1EnvVar[] — Optional. Environment variables to be passed to the container. Maximum limit is 100. - `value` string — Required. Variables that reference a $(VAR_NAME) are expanded using the previous defined environment variables in the container and any service environment variables. If a variable cannot be resolved, the reference in the input string will be unchanged. The $(VAR_NAME) syntax can be escaped with a double $$, ie: $$(VAR_NAME). Escaped references will never be expanded, regardless of whether the variable exists or not. - `name` string — Required. Name of the environment variable. Must be a valid C identifier. - `reservationAffinity` GoogleCloudAiplatformV1NotebookReservationAffinity — Notebook Reservation Affinity for consuming Zonal reservation. - `key` string — Optional. Corresponds to the label key of a reservation resource. To target a RESERVATION_SPECIFIC by name, use compute.googleapis.com/reservation-name as the key and specify the name of your reservation as its value. - `consumeReservationType` 'RESERVATION_AFFINITY_TYPE_UNSPECIFIED' | 'RESERVATION_NONE' | 'RESERVATION_ANY' | 'RESERVATION_SPECIFIC' — Required. Specifies the type of reservation from which this instance can consume resources: RESERVATION_ANY (default), RESERVATION_SPECIFIC, or RESERVATION_NONE. See Consuming reserved instances for examples. - `values` string[] — Optional. Corresponds to the label values of a reservation resource. This must be the full path name of Reservation. - `createTime` string, google-datetime — Output only. Timestamp when this NotebookRuntimeTemplate was created. - `idleShutdownConfig` GoogleCloudAiplatformV1NotebookIdleShutdownConfig — The idle shutdown configuration of NotebookRuntimeTemplate, which contains the idle_timeout as required field. - `idleTimeout` string, google-duration — Required. Duration is accurate to the second. In Notebook, Idle Timeout is accurate to minute so the range of idle_timeout (second) is: 10 * 60 ~ 1440 * 60. - `idleShutdownDisabled` boolean — Whether Idle Shutdown is disabled in this NotebookRuntimeTemplate. ## Response `200` Successful response --- [API](https://skmtc.net/google/apis/aiplatform.md) · [All operations](https://skmtc.net/google/apis/aiplatform/llms.txt) · [OpenAPI document](https://skmtc-service-staging.skmtc.workers.dev/v1/apis/google/aiplatform/versions/b608d71b91f0/schema)