pulumi-gcp-kotlin/com.pulumi.gcp.notebooks.kotlin/InstanceArgs

InstanceArgs

data class InstanceArgs(val acceleratorConfig: Output<InstanceAcceleratorConfigArgs>? = null, val bootDiskSizeGb: Output<Int>? = null, val bootDiskType: Output<String>? = null, val containerImage: Output<InstanceContainerImageArgs>? = null, val createTime: Output<String>? = null, val customGpuDriverPath: Output<String>? = null, val dataDiskSizeGb: Output<Int>? = null, val dataDiskType: Output<String>? = null, val diskEncryption: Output<String>? = null, val installGpuDriver: Output<Boolean>? = null, val instanceOwners: Output<List<String>>? = null, val kmsKey: Output<String>? = null, val labels: Output<Map<String, String>>? = null, val location: Output<String>? = null, val machineType: Output<String>? = null, val metadata: Output<Map<String, String>>? = null, val name: Output<String>? = null, val network: Output<String>? = null, val nicType: Output<String>? = null, val noProxyAccess: Output<Boolean>? = null, val noPublicIp: Output<Boolean>? = null, val noRemoveDataDisk: Output<Boolean>? = null, val postStartupScript: Output<String>? = null, val project: Output<String>? = null, val reservationAffinity: Output<InstanceReservationAffinityArgs>? = null, val serviceAccount: Output<String>? = null, val serviceAccountScopes: Output<List<String>>? = null, val shieldedInstanceConfig: Output<InstanceShieldedInstanceConfigArgs>? = null, val subnet: Output<String>? = null, val tags: Output<List<String>>? = null, val updateTime: Output<String>? = null, val vmImage: Output<InstanceVmImageArgs>? = null) : ConvertibleToJava<InstanceArgs>

A Cloud AI Platform Notebook instance.

Note: Due to limitations of the Notebooks Instance API, many fields in this resource do not properly detect drift. These fields will also not appear in state once imported. To get more information about Instance, see:

API documentation
How-to Guides

Official Documentation

Example Usage

Notebook Instance Basic

package generated_program;
import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.gcp.notebooks.Instance;
import com.pulumi.gcp.notebooks.InstanceArgs;
import com.pulumi.gcp.notebooks.inputs.InstanceVmImageArgs;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;
public class App {
    public static void main(String[] args) {
        Pulumi.run(App::stack);
    }
    public static void stack(Context ctx) {
        var instance = new Instance("instance", InstanceArgs.builder()
            .location("us-west1-a")
            .machineType("e2-medium")
            .vmImage(InstanceVmImageArgs.builder()
                .imageFamily("tf-latest-cpu")
                .project("deeplearning-platform-release")
                .build())
            .build());
    }
}

Notebook Instance Basic Container

package generated_program;
import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.gcp.notebooks.Instance;
import com.pulumi.gcp.notebooks.InstanceArgs;
import com.pulumi.gcp.notebooks.inputs.InstanceContainerImageArgs;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;
public class App {
    public static void main(String[] args) {
        Pulumi.run(App::stack);
    }
    public static void stack(Context ctx) {
        var instance = new Instance("instance", InstanceArgs.builder()
            .containerImage(InstanceContainerImageArgs.builder()
                .repository("gcr.io/deeplearning-platform-release/base-cpu")
                .tag("latest")
                .build())
            .location("us-west1-a")
            .machineType("e2-medium")
            .metadata(Map.of("proxy-mode", "service_account"))
            .build());
    }
}

Notebook Instance Basic Gpu

package generated_program;
import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.gcp.notebooks.Instance;
import com.pulumi.gcp.notebooks.InstanceArgs;
import com.pulumi.gcp.notebooks.inputs.InstanceAcceleratorConfigArgs;
import com.pulumi.gcp.notebooks.inputs.InstanceVmImageArgs;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;
public class App {
    public static void main(String[] args) {
        Pulumi.run(App::stack);
    }
    public static void stack(Context ctx) {
        var instance = new Instance("instance", InstanceArgs.builder()
            .acceleratorConfig(InstanceAcceleratorConfigArgs.builder()
                .coreCount(1)
                .type("NVIDIA_TESLA_T4")
                .build())
            .installGpuDriver(true)
            .location("us-west1-a")
            .machineType("n1-standard-1")
            .vmImage(InstanceVmImageArgs.builder()
                .imageFamily("tf-latest-gpu")
                .project("deeplearning-platform-release")
                .build())
            .build());
    }
}

Notebook Instance Full

package generated_program;
import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.gcp.compute.ComputeFunctions;
import com.pulumi.gcp.compute.inputs.GetNetworkArgs;
import com.pulumi.gcp.compute.inputs.GetSubnetworkArgs;
import com.pulumi.gcp.notebooks.Instance;
import com.pulumi.gcp.notebooks.InstanceArgs;
import com.pulumi.gcp.notebooks.inputs.InstanceVmImageArgs;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;
public class App {
    public static void main(String[] args) {
        Pulumi.run(App::stack);
    }
    public static void stack(Context ctx) {
        final var myNetwork = ComputeFunctions.getNetwork(GetNetworkArgs.builder()
            .name("default")
            .build());
        final var mySubnetwork = ComputeFunctions.getSubnetwork(GetSubnetworkArgs.builder()
            .name("default")
            .region("us-central1")
            .build());
        var instance = new Instance("instance", InstanceArgs.builder()
            .location("us-central1-a")
            .machineType("e2-medium")
            .vmImage(InstanceVmImageArgs.builder()
                .project("deeplearning-platform-release")
                .imageFamily("tf-latest-cpu")
                .build())
            .instanceOwners("my@service-account.com")
            .serviceAccount("my@service-account.com")
            .installGpuDriver(true)
            .bootDiskType("PD_SSD")
            .bootDiskSizeGb(110)
            .noPublicIp(true)
            .noProxyAccess(true)
            .network(myNetwork.applyValue(getNetworkResult -> getNetworkResult.id()))
            .subnet(mySubnetwork.applyValue(getSubnetworkResult -> getSubnetworkResult.id()))
            .labels(Map.of("k", "val"))
            .build());
    }
}

Import

Instance can be imported using any of these accepted formats* projects/{{project}}/locations/{{location}}/instances/{{name}} * {{project}}/{{location}}/{{name}} * {{location}}/{{name}} In Terraform v1.5.0 and later, use an import block to import Instance using one of the formats above. For exampletf import { id = "projects/{{project}}/locations/{{location}}/instances/{{name}}" to = google_notebooks_instance.default }

$ pulumi import gcp:notebooks/instance:Instance When using the [`terraform import` command](https://developer.hashicorp.com/terraform/cli/commands/import), Instance can be imported using one of the formats above. For example

$ pulumi import gcp:notebooks/instance:Instance default projects/{{project}}/locations/{{location}}/instances/{{name}}

$ pulumi import gcp:notebooks/instance:Instance default {{project}}/{{location}}/{{name}}

$ pulumi import gcp:notebooks/instance:Instance default {{location}}/{{name}}

Constructors

InstanceArgs

fun InstanceArgs(acceleratorConfig: Output<InstanceAcceleratorConfigArgs>? = null, bootDiskSizeGb: Output<Int>? = null, bootDiskType: Output<String>? = null, containerImage: Output<InstanceContainerImageArgs>? = null, createTime: Output<String>? = null, customGpuDriverPath: Output<String>? = null, dataDiskSizeGb: Output<Int>? = null, dataDiskType: Output<String>? = null, diskEncryption: Output<String>? = null, installGpuDriver: Output<Boolean>? = null, instanceOwners: Output<List<String>>? = null, kmsKey: Output<String>? = null, labels: Output<Map<String, String>>? = null, location: Output<String>? = null, machineType: Output<String>? = null, metadata: Output<Map<String, String>>? = null, name: Output<String>? = null, network: Output<String>? = null, nicType: Output<String>? = null, noProxyAccess: Output<Boolean>? = null, noPublicIp: Output<Boolean>? = null, noRemoveDataDisk: Output<Boolean>? = null, postStartupScript: Output<String>? = null, project: Output<String>? = null, reservationAffinity: Output<InstanceReservationAffinityArgs>? = null, serviceAccount: Output<String>? = null, serviceAccountScopes: Output<List<String>>? = null, shieldedInstanceConfig: Output<InstanceShieldedInstanceConfigArgs>? = null, subnet: Output<String>? = null, tags: Output<List<String>>? = null, updateTime: Output<String>? = null, vmImage: Output<InstanceVmImageArgs>? = null)

Functions

toJava

open override fun toJava(): InstanceArgs

Properties

acceleratorConfig

val acceleratorConfig: Output<InstanceAcceleratorConfigArgs>? = null

The hardware accelerator used on this instance. If you use accelerators, make sure that your configuration has enough vCPUs and memory to support the machineType you have selected. Structure is documented below.

bootDiskSizeGb

val bootDiskSizeGb: Output<Int>? = null

The size of the boot disk in GB attached to this instance, up to a maximum of 64000 GB (64 TB). The minimum recommended value is 100 GB. If not specified, this defaults to 100.

bootDiskType

val bootDiskType: Output<String>? = null

Possible disk types for notebook instances. Possible values are: DISK_TYPE_UNSPECIFIED, PD_STANDARD, PD_SSD, PD_BALANCED, PD_EXTREME.

containerImage

val containerImage: Output<InstanceContainerImageArgs>? = null

Use a container image to start the notebook instance. Structure is documented below.

createTime

val createTime: Output<String>? = null

Instance creation time

customGpuDriverPath

val customGpuDriverPath: Output<String>? = null

Specify a custom Cloud Storage path where the GPU driver is stored. If not specified, we'll automatically choose from official GPU drivers.

dataDiskSizeGb

val dataDiskSizeGb: Output<Int>? = null

The size of the data disk in GB attached to this instance, up to a maximum of 64000 GB (64 TB). You can choose the size of the data disk based on how big your notebooks and data are. If not specified, this defaults to 100.

dataDiskType

val dataDiskType: Output<String>? = null

Possible disk types for notebook instances. Possible values are: DISK_TYPE_UNSPECIFIED, PD_STANDARD, PD_SSD, PD_BALANCED, PD_EXTREME.

diskEncryption

val diskEncryption: Output<String>? = null

Disk encryption method used on the boot and data disks, defaults to GMEK. Possible values are: DISK_ENCRYPTION_UNSPECIFIED, GMEK, CMEK.

installGpuDriver

val installGpuDriver: Output<Boolean>? = null

Whether the end user authorizes Google Cloud to install GPU driver on this instance. If this field is empty or set to false, the GPU driver won't be installed. Only applicable to instances with GPUs.

instanceOwners

val instanceOwners: Output<List<String>>? = null

The list of owners of this instance after creation. Format: alias@example.com. Currently supports one owner only. If not specified, all of the service account users of your VM instance's service account can use the instance.

kmsKey

val kmsKey: Output<String>? = null

The KMS key used to encrypt the disks, only applicable if diskEncryption is CMEK. Format: projects/{project_id}/locations/{location}/keyRings/{key_ring_id}/cryptoKeys/{key_id}

labels

val labels: Output<Map<String, String>>? = null

Labels to apply to this instance. These can be later modified by the setLabels method. An object containing a list of "key": value pairs. Example: { "name": "wrench", "mass": "1.3kg", "count": "3" }. Note: This field is non-authoritative, and will only manage the labels present in your configuration. Please refer to the field effective_labels for all of the labels present on the resource.

location

val location: Output<String>? = null

A reference to the zone where the machine resides.

machineType

val machineType: Output<String>? = null

A reference to a machine type which defines VM kind.

metadata

val metadata: Output<Map<String, String>>? = null

Custom metadata to apply to this instance. An object containing a list of "key": value pairs. Example: { "name": "wrench", "mass": "1.3kg", "count": "3" }.

name

val name: Output<String>? = null

The name specified for the Notebook instance.

network

val network: Output<String>? = null

The name of the VPC that this instance is in. Format: projects/{project_id}/global/networks/{network_id}

nicType

val nicType: Output<String>? = null

The type of vNIC driver. Possible values are: UNSPECIFIED_NIC_TYPE, VIRTIO_NET, GVNIC.

noProxyAccess

val noProxyAccess: Output<Boolean>? = null

The notebook instance will not register with the proxy..

noPublicIp

val noPublicIp: Output<Boolean>? = null

No public IP will be assigned to this instance.

noRemoveDataDisk

val noRemoveDataDisk: Output<Boolean>? = null

If true, the data disk will not be auto deleted when deleting the instance.

postStartupScript

val postStartupScript: Output<String>? = null

Path to a Bash script that automatically runs after a notebook instance fully boots up. The path must be a URL or Cloud Storage path (gs://path-to-file/file-name).

project

val project: Output<String>? = null

The ID of the project in which the resource belongs. If it is not provided, the provider project is used.

reservationAffinity

val reservationAffinity: Output<InstanceReservationAffinityArgs>? = null

Reservation Affinity for consuming Zonal reservation. Structure is documented below.

serviceAccount

val serviceAccount: Output<String>? = null

The service account on this instance, giving access to other Google Cloud services. 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 is used.

serviceAccountScopes

val serviceAccountScopes: Output<List<String>>? = null

Optional. The URIs of service account scopes to be included in Compute Engine instances. If not specified, the following scopes are defined:

shieldedInstanceConfig

val shieldedInstanceConfig: Output<InstanceShieldedInstanceConfigArgs>? = null

A set of Shielded Instance options. Check Images using supported Shielded VM features Not all combinations are valid Structure is documented below.

subnet

val subnet: Output<String>? = null

The name of the subnet that this instance is in. Format: projects/{project_id}/regions/{region}/subnetworks/{subnetwork_id}