public sealed class RuntimeAcceleratorConfig : IMessage<RuntimeAcceleratorConfig>, IEquatable<RuntimeAcceleratorConfig>, IDeepCloneable<RuntimeAcceleratorConfig>, IBufferMessage, IMessage
Reference documentation and code samples for the AI Platform Notebooks v1 API class RuntimeAcceleratorConfig.
Definition of the types of hardware accelerators that can be used.
Definition of the types of hardware accelerators that can be used.
See Compute Engine
AcceleratorTypes.
Examples:
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-03-21 UTC."],[[["The `RuntimeAcceleratorConfig` class in the Google.Cloud.Notebooks.V1 API defines the configuration for hardware accelerators used in AI Platform Notebooks, with version 2.5.0 being the latest release."],["This class provides a way to specify the type and core count of hardware accelerators, such as NVIDIA Tesla GPUs, for use with notebooks."],["The `RuntimeAcceleratorConfig` class implements interfaces like `IMessage`, `IEquatable`, and `IDeepCloneable`, allowing for message handling, equality comparisons, and deep cloning of instances."],["`RuntimeAcceleratorConfig` allows for the configuration of hardware accelerators, detailed in the Compute Engine AcceleratorTypes documentation, with examples like `nvidia-tesla-k80` and `nvidia-tesla-a100`."]]],[]]
