Class AcceleratorSelection
- All Implemented Interfaces:
Serializable,SdkPojo,ToCopyableBuilder<AcceleratorSelection.Builder,AcceleratorSelection>
Describes a specific GPU accelerator required for an Amazon Elastic Compute Cloud worker host.
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Nested Class Summary
Nested Classes -
Method Summary
Modifier and TypeMethodDescriptionstatic AcceleratorSelection.Builderbuilder()final booleanfinal booleanequalsBySdkFields(Object obj) Indicates whether some other object is "equal to" this one by SDK fields.final <T> Optional<T> getValueForField(String fieldName, Class<T> clazz) final inthashCode()final AcceleratorNamename()The name of the chip used by the GPU accelerator.final StringThe name of the chip used by the GPU accelerator.final Stringruntime()Specifies the runtime driver to use for the GPU accelerator.static Class<? extends AcceleratorSelection.Builder> Take this object and create a builder that contains all of the current property values of this object.final StringtoString()Returns a string representation of this object.Methods inherited from interface software.amazon.awssdk.utils.builder.ToCopyableBuilder
copy
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Method Details
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name
The name of the chip used by the GPU accelerator.
The available GPU accelerators are:
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t4- NVIDIA T4 Tensor Core GPU (16 GiB memory) -
a10g- NVIDIA A10G Tensor Core GPU (24 GiB memory) -
l4- NVIDIA L4 Tensor Core GPU (24 GiB memory) -
l40s- NVIDIA L40S Tensor Core GPU (48 GiB memory)
If the service returns an enum value that is not available in the current SDK version,
namewill returnAcceleratorName.UNKNOWN_TO_SDK_VERSION. The raw value returned by the service is available fromnameAsString().- Returns:
- The name of the chip used by the GPU accelerator.
The available GPU accelerators are:
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t4- NVIDIA T4 Tensor Core GPU (16 GiB memory) -
a10g- NVIDIA A10G Tensor Core GPU (24 GiB memory) -
l4- NVIDIA L4 Tensor Core GPU (24 GiB memory) -
l40s- NVIDIA L40S Tensor Core GPU (48 GiB memory)
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- See Also:
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nameAsString
The name of the chip used by the GPU accelerator.
The available GPU accelerators are:
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t4- NVIDIA T4 Tensor Core GPU (16 GiB memory) -
a10g- NVIDIA A10G Tensor Core GPU (24 GiB memory) -
l4- NVIDIA L4 Tensor Core GPU (24 GiB memory) -
l40s- NVIDIA L40S Tensor Core GPU (48 GiB memory)
If the service returns an enum value that is not available in the current SDK version,
namewill returnAcceleratorName.UNKNOWN_TO_SDK_VERSION. The raw value returned by the service is available fromnameAsString().- Returns:
- The name of the chip used by the GPU accelerator.
The available GPU accelerators are:
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t4- NVIDIA T4 Tensor Core GPU (16 GiB memory) -
a10g- NVIDIA A10G Tensor Core GPU (24 GiB memory) -
l4- NVIDIA L4 Tensor Core GPU (24 GiB memory) -
l40s- NVIDIA L40S Tensor Core GPU (48 GiB memory)
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- See Also:
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runtime
Specifies the runtime driver to use for the GPU accelerator. You must use the same runtime for all GPUs in a fleet.
You can choose from the following runtimes:
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latest- Use the latest runtime available for the chip. If you specifylatestand a new version of the runtime is released, the new version of the runtime is used. -
grid:r570- NVIDIA vGPU software 18 -
grid:r535- NVIDIA vGPU software 16
If you don't specify a runtime, Amazon Web Services Deadline Cloud uses
latestas the default. However, if you have multiple accelerators and specifylatestfor some and leave others blank, Amazon Web Services Deadline Cloud raises an exception.Not all runtimes are compatible with all accelerator types:
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t4anda10g: Support all runtimes (grid:r570,grid:r535) -
l4andl40s: Only supportgrid:r570and newer
All accelerators in a fleet must use the same runtime version. You cannot mix different runtime versions within a single fleet.
When you specify
latest, it resolves togrid:r570for all currently supported accelerators.- Returns:
- Specifies the runtime driver to use for the GPU accelerator. You must use the same runtime for all GPUs
in a fleet.
You can choose from the following runtimes:
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latest- Use the latest runtime available for the chip. If you specifylatestand a new version of the runtime is released, the new version of the runtime is used. -
grid:r570- NVIDIA vGPU software 18 -
grid:r535- NVIDIA vGPU software 16
If you don't specify a runtime, Amazon Web Services Deadline Cloud uses
latestas the default. However, if you have multiple accelerators and specifylatestfor some and leave others blank, Amazon Web Services Deadline Cloud raises an exception.Not all runtimes are compatible with all accelerator types:
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t4anda10g: Support all runtimes (grid:r570,grid:r535) -
l4andl40s: Only supportgrid:r570and newer
All accelerators in a fleet must use the same runtime version. You cannot mix different runtime versions within a single fleet.
When you specify
latest, it resolves togrid:r570for all currently supported accelerators. -
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toBuilder
Description copied from interface:ToCopyableBuilderTake this object and create a builder that contains all of the current property values of this object.- Specified by:
toBuilderin interfaceToCopyableBuilder<AcceleratorSelection.Builder,AcceleratorSelection> - Returns:
- a builder for type T
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builder
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serializableBuilderClass
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hashCode
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equals
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equalsBySdkFields
Description copied from interface:SdkPojoIndicates whether some other object is "equal to" this one by SDK fields. An SDK field is a modeled, non-inherited field in anSdkPojoclass, and is generated based on a service model.If an
SdkPojoclass does not have any inherited fields,equalsBySdkFieldsandequalsare essentially the same.- Specified by:
equalsBySdkFieldsin interfaceSdkPojo- Parameters:
obj- the object to be compared with- Returns:
- true if the other object equals to this object by sdk fields, false otherwise.
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toString
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getValueForField
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sdkFields
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sdkFieldNameToField
- Specified by:
sdkFieldNameToFieldin interfaceSdkPojo- Returns:
- The mapping between the field name and its corresponding field.
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