Reference documentation and code samples for the AI Platform Notebooks V1 API module Google::Cloud::Notebooks::V1::ExecutionTemplate::ScaleTier.
Required. Specifies the machine types, the number of replicas for workers and parameter servers.
Constants
SCALE_TIER_UNSPECIFIED
value: 0
Unspecified Scale Tier.
BASIC
value: 1
A single worker instance. This tier is suitable for learning how to use
Cloud ML, and for experimenting with new models using small datasets.
STANDARD_1
value: 2
Many workers and a few parameter servers.
PREMIUM_1
value: 3
A large number of workers with many parameter servers.
BASIC_GPU
value: 4
A single worker instance with a K80 GPU.
BASIC_TPU
value: 5
A single worker instance with a Cloud TPU.
CUSTOM
value: 6
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.