A single worker instance. This tier is suitable for learning how to use
Cloud ML, and for experimenting with new models using small datasets.
BasicGpu
A single worker instance with a K80 GPU.
BasicTpu
A single worker instance with a Cloud TPU.
Custom
The CUSTOM tier is not a set tier, but rather enables you to use your
own cluster specification. When you use this tier, set values to
configure your processing cluster according to these guidelines:
You must set ExecutionTemplate.masterType to specify the type
of machine to use for your master node. This is the only required
setting.
Premium1
A large number of workers with many parameter servers.
[[["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."],[[["This documentation outlines the `ExecutionTemplate.Types.ScaleTier` enum within the AI Platform Notebooks v1 API, specifying machine types, worker replicas, and parameter servers."],["The enum offers various predefined scale tiers such as `Basic`, `BasicGpu`, `BasicTpu`, `Standard1`, and `Premium1`, each designed for different computational needs."],["The `Custom` tier allows users to define their cluster specification, requiring at minimum the setting of `ExecutionTemplate.masterType`."],["Version 2.5.0 is the latest available version, with multiple versions documented for the `Google.Cloud.Notebooks.V1.ExecutionTemplate.Types.ScaleTier`, from version 1.0.0-beta04 up to 2.5.0."],["Each field within the enum, such as `Basic` or `Premium1`, has a description detailing its use case and relevant characteristics."]]],[]]
