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Catalogue / ml-platform

Vertex AI

gcpML platformgoogle-vertex-ai

Google Cloud's managed machine learning platform for training, tuning and serving models and agents.

Provider
gcp
Kind
ML platform
Category
Compute
Official docs
https://cloud.google.com/vertex-ai/docs/start/introduction-unified-platform
Also known as
AI Platform
Properties · 3 set by this component
propertytypevaluesrequiredkind defaultthis component
computeInstancesinteger—no—inherited
customerManagedKeys · component propertyboolean—nofalseinherited
experimentTrackingboolean—notrue▸ true
gpuEnabledboolean—no—inherited
imageGeneration · component propertyboolean—nofalseinherited
managedboolean—nofalse▸ true
modelRegistryboolean—notrue▸ true
privateServiceConnect · component propertyboolean—nofalseinherited
publicAccessboolean—no—inherited
videoGeneration · component propertyboolean—nofalseinherited
vpcServiceControls · component propertyboolean—nofalseinherited
Rules that apply · 1

Every rule whose selector covers this component's kind or its category. Whether a rule fires depends on the design: its properties, its edges and its groups.

Stateful node without zone redundancyerror
stateful-node-without-zone-redundancy

A stateful compute node pinned to exactly one availability zone disappears with that zone, and its state goes with it. Nodes inside a cell are exempt, because there the cell is deliberately single-zone and redundancy comes from the other cells.

  • — all of these hold:
  • — the node's `stateless` is false
  • — the node sits inside exactly 1 availability-zone group
  • — this does not hold:
  • — the node sits inside at least one cell group
Use it in a design
nodes:
  - { id: "vertex-ai", component: "google-vertex-ai" }
Other ML platform products · 61
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and 21 more → ML platform page
Source
# yaml-language-server: $schema=../../schema/component.schema.json
# Vertex AI, renamed Gemini Enterprise Agent Platform: Google's managed ML platform with serverless
# training, Model Registry and Experiments/TensorBoard built in ("Introduction to Vertex AI").
# Private Service Connect, VPC Service Controls and CMEK are opt-in configurations, so they default off.
# imageGeneration and videoGeneration say the platform serves Imagen (images) and Veo (video) models, which
# are models on its endpoints rather than boxes of their own; both off until stated.
schemaVersion: "1"
type: "component"
id: "google-vertex-ai"
kind: "ml-platform"
provider: "gcp"
docs: "https://cloud.google.com/vertex-ai/docs/start/introduction-unified-platform"
aliases: ["AI Platform"]
defaults:
  managed: true
  modelRegistry: true
  experimentTracking: true
properties:
  privateServiceConnect:
    type: "boolean"
    default: false
  vpcServiceControls:
    type: "boolean"
    default: false
  customerManagedKeys:
    type: "boolean"
    default: false
  imageGeneration:
    type: "boolean"
    default: false
  videoGeneration:
    type: "boolean"
    default: false

The same page as markdown, for an agent: /catalogue/components/google-vertex-ai.md