GoogleCloudAiplatformV1MachineSpec

import type { GoogleCloudAiplatformV1MachineSpec } from "https://googleapis.deno.dev/v1/aiplatform:v1.ts";

Specification of a single machine.

interface GoogleCloudAiplatformV1MachineSpec {

acceleratorCount?: number;

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"

| "TPU_V2"

| "TPU_V3"

| "TPU_V4_POD"

| "TPU_V5_LITEPOD";

machineType?: string;

tpuTopology?: string;

}

§Properties

acceleratorCount?: number

The number of accelerators to attach to the machine.

Immutable. The type of accelerator(s) that may be attached to the machine as per accelerator_count.

machineType?: string

Immutable. The type of the machine. See the list of machine types supported for prediction See the list of machine types supported for custom training. 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.

tpuTopology?: string

Immutable. The topology of the TPUs. Corresponds to the TPU topologies available from GKE. (Example: tpu_topology: "2x2x1").