Package com.google.cloud.aiplatform.v1beta1

Interface MachineSpecOrBuilder

All Superinterfaces:
com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder
All Known Implementing Classes:
MachineSpec, MachineSpec.Builder
@Generated public interface MachineSpecOrBuilder extends com.google.protobuf.MessageOrBuilder

  • Method Details

    • getMachineType

      String getMachineType()
       Immutable. The type of the machine.

 See the [list of machine types supported for
 prediction](https://cloud.google.com/vertex-ai/docs/predictions/configure-compute#machine-types)

 See the [list of machine types supported for custom
 training](https://cloud.google.com/vertex-ai/docs/training/configure-compute#machine-types).

 For [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] this
 field is optional, and the default value is `n1-standard-2`. For
 [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob] or
 as part of [WorkerPoolSpec][google.cloud.aiplatform.v1beta1.WorkerPoolSpec]
 this field is required.
      string machine_type = 1 [(.google.api.field_behavior) = IMMUTABLE];
      Returns:
      The machineType.

    • getMachineTypeBytes

      com.google.protobuf.ByteString getMachineTypeBytes()
       Immutable. The type of the machine.

 See the [list of machine types supported for
 prediction](https://cloud.google.com/vertex-ai/docs/predictions/configure-compute#machine-types)

 See the [list of machine types supported for custom
 training](https://cloud.google.com/vertex-ai/docs/training/configure-compute#machine-types).

 For [DeployedModel][google.cloud.aiplatform.v1beta1.DeployedModel] this
 field is optional, and the default value is `n1-standard-2`. For
 [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob] or
 as part of [WorkerPoolSpec][google.cloud.aiplatform.v1beta1.WorkerPoolSpec]
 this field is required.
      string machine_type = 1 [(.google.api.field_behavior) = IMMUTABLE];
      Returns:
      The bytes for machineType.

    • getAcceleratorTypeValue

      int getAcceleratorTypeValue()
       Immutable. The type of accelerator(s) that may be attached to the machine
 as per
 [accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count].
      .google.cloud.aiplatform.v1beta1.AcceleratorType accelerator_type = 2 [(.google.api.field_behavior) = IMMUTABLE];
      Returns:
      The enum numeric value on the wire for acceleratorType.

    • getAcceleratorType

      AcceleratorType getAcceleratorType()
       Immutable. The type of accelerator(s) that may be attached to the machine
 as per
 [accelerator_count][google.cloud.aiplatform.v1beta1.MachineSpec.accelerator_count].
      .google.cloud.aiplatform.v1beta1.AcceleratorType accelerator_type = 2 [(.google.api.field_behavior) = IMMUTABLE];
      Returns:
      The acceleratorType.

    • getAcceleratorCount

      int getAcceleratorCount()
       The number of accelerators to attach to the machine.
      int32 accelerator_count = 3;
      Returns:
      The acceleratorCount.

    • getGpuPartitionSize

      String getGpuPartitionSize()
       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.
      string gpu_partition_size = 7 [(.google.api.field_behavior) = IMMUTABLE, (.google.api.field_behavior) = OPTIONAL];
      Returns:
      The gpuPartitionSize.

    • getGpuPartitionSizeBytes

      com.google.protobuf.ByteString getGpuPartitionSizeBytes()
       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.
      string gpu_partition_size = 7 [(.google.api.field_behavior) = IMMUTABLE, (.google.api.field_behavior) = OPTIONAL];
      Returns:
      The bytes for gpuPartitionSize.

    • getTpuTopology

      String getTpuTopology()
       Immutable. The topology of the TPUs. Corresponds to the TPU topologies
 available from GKE. (Example: tpu_topology: "2x2x1").
      string tpu_topology = 4 [(.google.api.field_behavior) = IMMUTABLE];
      Returns:
      The tpuTopology.

    • getTpuTopologyBytes

      com.google.protobuf.ByteString getTpuTopologyBytes()
       Immutable. The topology of the TPUs. Corresponds to the TPU topologies
 available from GKE. (Example: tpu_topology: "2x2x1").
      string tpu_topology = 4 [(.google.api.field_behavior) = IMMUTABLE];
      Returns:
      The bytes for tpuTopology.

    • getMultihostGpuNodeCount

      int getMultihostGpuNodeCount()
       Optional. Immutable. The number of nodes per replica for multihost GPU
 deployments.
      int32 multihost_gpu_node_count = 6 [(.google.api.field_behavior) = IMMUTABLE, (.google.api.field_behavior) = OPTIONAL];
      Returns:
      The multihostGpuNodeCount.

    • hasReservationAffinity

      boolean hasReservationAffinity()
       Optional. Immutable. Configuration controlling how this resource pool
 consumes reservation.
      .google.cloud.aiplatform.v1beta1.ReservationAffinity reservation_affinity = 5 [(.google.api.field_behavior) = IMMUTABLE, (.google.api.field_behavior) = OPTIONAL];
      Returns:
      Whether the reservationAffinity field is set.

    • getReservationAffinity

      ReservationAffinity getReservationAffinity()
       Optional. Immutable. Configuration controlling how this resource pool
 consumes reservation.
      .google.cloud.aiplatform.v1beta1.ReservationAffinity reservation_affinity = 5 [(.google.api.field_behavior) = IMMUTABLE, (.google.api.field_behavior) = OPTIONAL];
      Returns:
      The reservationAffinity.

    • getReservationAffinityOrBuilder

      ReservationAffinityOrBuilder getReservationAffinityOrBuilder()
       Optional. Immutable. Configuration controlling how this resource pool
 consumes reservation.
      .google.cloud.aiplatform.v1beta1.ReservationAffinity reservation_affinity = 5 [(.google.api.field_behavior) = IMMUTABLE, (.google.api.field_behavior) = OPTIONAL];

    • getMinGpuDriverVersion

      String getMinGpuDriverVersion()
       Optional. Immutable. The minimum GPU driver version that this machine
 requires. For example, "535.104.06". If not specified, the default GPU
 driver version will be used by the underlying infrastructure.
      string min_gpu_driver_version = 9 [(.google.api.field_behavior) = OPTIONAL, (.google.api.field_behavior) = IMMUTABLE];
      Returns:
      The minGpuDriverVersion.

    • getMinGpuDriverVersionBytes

      com.google.protobuf.ByteString getMinGpuDriverVersionBytes()
       Optional. Immutable. The minimum GPU driver version that this machine
 requires. For example, "535.104.06". If not specified, the default GPU
 driver version will be used by the underlying infrastructure.
      string min_gpu_driver_version = 9 [(.google.api.field_behavior) = OPTIONAL, (.google.api.field_behavior) = IMMUTABLE];
      Returns:
      The bytes for minGpuDriverVersion.