The accelerator type string (for example, "nvidia-tesla-k80").
Only NVIDIA GPU accelerators are currently supported. If an NVIDIA GPU is
attached, the required runtime libraries will be made available to all
containers under /usr/local/nvidia. The driver version to install must
be specified using the NVIDIA driver version parameter on the virtual
machine specification. Note that attaching a GPU increases the worker VM
startup time by a few minutes.
[[["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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-08-07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\u003eAccelerator\u003c/code\u003e class in the Google Cloud Life Sciences v2beta API represents information about an accelerator that can be attached to a virtual machine (VM).\u003c/p\u003e\n"],["\u003cp\u003eThis class is available in the \u003ccode\u003eGoogle.Cloud.LifeSciences.V2Beta\u003c/code\u003e namespace and is part of the \u003ccode\u003eGoogle.Cloud.LifeSciences.V2Beta.dll\u003c/code\u003e assembly.\u003c/p\u003e\n"],["\u003cp\u003eThe \u003ccode\u003eAccelerator\u003c/code\u003e class can be constructed either without parameters or by using another \u003ccode\u003eAccelerator\u003c/code\u003e instance.\u003c/p\u003e\n"],["\u003cp\u003eThe \u003ccode\u003eAccelerator\u003c/code\u003e class has properties \u003ccode\u003eCount\u003c/code\u003e, which indicates how many accelerators to attach, and \u003ccode\u003eType\u003c/code\u003e, which specifies the type of accelerator (e.g., "nvidia-tesla-k80").\u003c/p\u003e\n"],["\u003cp\u003eOnly NVIDIA GPU accelerators are currently supported, and attaching a GPU will increase the VM startup time.\u003c/p\u003e\n"]]],[],null,[]]
