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 document provides an overview of the `ScaleTier` enum within the `Google.Cloud.Notebooks.V1` namespace, used to specify machine types and replica counts for workers and parameter servers."],["The available versions of `ScaleTier` range from version 1.0.0-beta04 to 2.5.0, with 2.5.0 being the latest."],["The `ScaleTier` enum includes options such as `Basic`, `BasicGpu`, `BasicTpu`, `Custom`, `Premium1`, `Standard1`, and `Unspecified`, each defining different configurations of worker instances and parameter servers."],["The `Custom` tier requires setting `ExecutionTemplate.masterType` to define the master node machine type, while other options define preset machine types and replicas."]]],[]]
