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GpuDeviceInfo

Source code in docs_src/capo_ec2/types/gpu_device_info.py 
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class GpuDeviceInfo(TypedDict, closed=True):
    name: NotRequired["capo_ec2.types.gpu_device_name.GpuDeviceName"]
    """<p>The name of the GPU accelerator.</p>"""
    manufacturer: NotRequired[
        "capo_ec2.types.gpu_device_manufacturer_name.GpuDeviceManufacturerName"
    ]
    """<p>The manufacturer of the GPU accelerator.</p>"""
    count: NotRequired["capo_ec2.types.gpu_device_count.GpuDeviceCount"]
    """<p>The number of GPUs for the instance type.</p>"""
    logical_gpu_count: NotRequired["capo_ec2.types.logical_gpu_count.LogicalGpuCount"]
    """<p>Total number of GPU devices of this type.</p>"""
    gpu_partition_size: NotRequired[
        "capo_ec2.types.gpu_partition_size.GpuPartitionSize"
    ]
    """<p>The size of each GPU as a fraction of a full GPU, between 0 (excluded) and 1 (included).</p>"""
    workloads: NotRequired["capo_ec2.types.workloads_list.WorkloadsList"]
    """<p>A list of workload types this GPU supports.</p>"""
    memory_info: NotRequired[
        "capo_ec2.types.gpu_device_memory_info.GpuDeviceMemoryInfo"
    ]
    """<p>Describes the memory available to the GPU accelerator.</p>"""

count instance-attribute 

count: NotRequired[GpuDeviceCount]

The number of GPUs for the instance type.

gpu_partition_size instance-attribute 

gpu_partition_size: NotRequired[GpuPartitionSize]

The size of each GPU as a fraction of a full GPU, between 0 (excluded) and 1 (included).

logical_gpu_count instance-attribute 

logical_gpu_count: NotRequired[LogicalGpuCount]

Total number of GPU devices of this type.

manufacturer instance-attribute 

manufacturer: NotRequired[GpuDeviceManufacturerName]

The manufacturer of the GPU accelerator.

memory_info instance-attribute 

memory_info: NotRequired[GpuDeviceMemoryInfo]

Describes the memory available to the GPU accelerator.

name instance-attribute 

name: NotRequired[GpuDeviceName]

The name of the GPU accelerator.

workloads instance-attribute 

workloads: NotRequired[WorkloadsList]

A list of workload types this GPU supports.