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    MachineSpec

    Specification of a single machine.

    Fields
    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.

    acceleratorType enum ( AcceleratorType )

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

    acceleratorCount integer

    The number of accelerators to attach to the machine.

    tpuTopology string

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

    reservationAffinity object ( ReservationAffinity )

    Optional. Immutable. Configuration controlling how this resource pool consumes reservation.

    JSON representation 
     { 
 "machineType" 
 : 
 string 
 , 
 "acceleratorType" 
 : 
 enum (  AcceleratorType 
 
) 
 , 
 "acceleratorCount" 
 : 
 integer 
 , 
 "tpuTopology" 
 : 
 string 
 , 
 "reservationAffinity" 
 : 
 { 
 object (  ReservationAffinity 
 
) 
 } 
 }

    AcceleratorType

    Represents a hardware accelerator type.

    Enums
    ACCELERATOR_TYPE_UNSPECIFIED Unspecified accelerator type, which means no accelerator.
    NVIDIA_TESLA_K80

    Deprecated: Nvidia Tesla K80 GPU has reached end of support, see https://cloud.google.com/compute/docs/eol/k80-eol .
    NVIDIA_TESLA_P100 Nvidia Tesla P100 GPU.
    NVIDIA_TESLA_V100 Nvidia Tesla V100 GPU.
    NVIDIA_TESLA_P4 Nvidia Tesla P4 GPU.
    NVIDIA_TESLA_T4 Nvidia Tesla T4 GPU.
    NVIDIA_TESLA_A100 Nvidia Tesla A100 GPU.
    NVIDIA_A100_80GB Nvidia A100 80GB GPU.
    NVIDIA_L4 Nvidia L4 GPU.
    NVIDIA_H100_80GB Nvidia H100 80Gb GPU.
    NVIDIA_H100_MEGA_80GB Nvidia H100 Mega 80Gb GPU.
    NVIDIA_H200_141GB Nvidia H200 141Gb GPU.
    NVIDIA_B200 Nvidia B200 GPU.
    NVIDIA_GB200 Nvidia GB200 GPU.
    TPU_V2 TPU v2.
    TPU_V3 TPU v3.
    TPU_V4_POD TPU v4.
    TPU_V5_LITEPOD TPU v5.

    ReservationAffinity

    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.

    Fields
    reservationAffinityType enum ( Type )

    Required. Specifies the reservation affinity type.

    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.

    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.

    JSON representation 
     { 
 "reservationAffinityType" 
 : 
 enum (  Type 
 
) 
 , 
 "key" 
 : 
 string 
 , 
 "values" 
 : 
 [ 
 string 
 ] 
 }

    Type

    Identifies a type of reservation affinity.

    Enums
    TYPE_UNSPECIFIED Default value. This should not be used.
    NO_RESERVATION Do not consume from any reserved capacity, only use on-demand.
    ANY_RESERVATION Consume any reservation available, falling back to on-demand.
    SPECIFIC_RESERVATION Consume from a specific reservation. When chosen, the reservation must be identified via the key and values fields.
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