public sealed class RuntimeAcceleratorConfig : IMessage<RuntimeAcceleratorConfig>, IEquatable<RuntimeAcceleratorConfig>, IDeepCloneable<RuntimeAcceleratorConfig>, IBufferMessage, IMessage
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"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-08-07 UTC."],[[["\u003cp\u003eThe \u003ccode\u003eRuntimeAcceleratorConfig\u003c/code\u003e class defines the hardware accelerators that can be used within Google Cloud Notebooks.\u003c/p\u003e\n"],["\u003cp\u003eThis class is available in multiple versions, with the latest being 2.5.0 and version 1.0.0-beta04 being displayed on this documentation page.\u003c/p\u003e\n"],["\u003cp\u003eThe \u003ccode\u003eRuntimeAcceleratorConfig\u003c/code\u003e class includes properties for \u003ccode\u003eCoreCount\u003c/code\u003e (an \u003ccode\u003eInt64\u003c/code\u003e value) and \u003ccode\u003eType\u003c/code\u003e (an \u003ccode\u003eAcceleratorType\u003c/code\u003e enum), used to specify the configuration of the accelerator.\u003c/p\u003e\n"],["\u003cp\u003eIt inherits from \u003ccode\u003eObject\u003c/code\u003e and implements several interfaces, including \u003ccode\u003eIMessage\u003c/code\u003e, \u003ccode\u003eIEquatable\u003c/code\u003e, \u003ccode\u003eIDeepCloneable\u003c/code\u003e, and \u003ccode\u003eIBufferMessage\u003c/code\u003e, providing functionality for deep cloning and efficient data handling.\u003c/p\u003e\n"],["\u003cp\u003eSeveral examples of supported accelerators are given, including various NVIDIA Tesla models like K80, P100, V100, P4, T4 and A100.\u003c/p\u003e\n"]]],[],null,[]]
