Vertex AI Workbench
Managed JupyterLab development instance for data science work.
- Provider
- gcp
- Kind
- ML platform
- Category
- Compute
| property | type | values | required | kind default | this component |
|---|---|---|---|---|---|
| computeInstances | integer | — | no | — | ▸ 1 |
| experimentTracking | boolean | — | no | true | ▸ false |
| gpuEnabled | boolean | — | no | — | ▸ false |
| idleShutdown | boolean | — | no | true | inherited |
| idleShutdownMinutes | integer | — | no | 180 | inherited |
| managed | boolean | — | no | false | ▸ true |
| modelRegistry | boolean | — | no | true | ▸ false |
| publicAccess | boolean | — | no | — | inherited |
| upgradeable | boolean | — | no | true | inherited |
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-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
nodes:
- { id: "vertex-ai-workbench", component: "google-vertex-ai-workbench" }Platform for AIalibaba-paiAWS Clean Rooms MLaws-clean-rooms-mlAmazon SageMaker AIaws-sagemakerAmazon SageMaker Canvasaws-sagemaker-canvasAmazon SageMaker Feature Storeaws-sagemaker-feature-storeManaged MLflow on Amazon SageMaker AIaws-sagemaker-mlflowAmazon SageMaker Unified Studioaws-sagemaker-unified-studioMicrosoft Foundryazure-ai-foundryAzure Machine Learningazure-machine-learningAbacus.AIabacus-aiAlteryxalteryxArgillaargillaC3 AI Platformc3-aiClearMLclearmlCometcomet-mlCVATcvatDataikudataikuDataRobotdatarobotDatasaurdatasaurDetermined AIdeterminedDomino Data Labdomino-data-labDVCdvcEncordencordFeastfeastFlyteflyteH2O.aih2oKilikiliKNIMEknimeKubeflowkubeflowLabel Studiolabel-studioLabelboxlabelboxMetaflowmetaflowGeneric ML platformml-platformMLflowmlflowneptune.aineptune-aiNVIDIA DGX Cloudnvidia-dgx-cloudPachydermpachydermPolyaxonpolyaxonProdigyprodigyRapidMiner AI Hubrapidminer
and 21 more → ML platform page# yaml-language-server: $schema=../../schema/component.schema.json # Vertex AI Workbench instance: a single JupyterLab development VM managed by Google # ("Introduction to Vertex AI Workbench"). Idle shutdown is on and set to 180 inactive minutes by # default ("Manage idle shutdown"); accelerators are only attached when asked for. schemaVersion: "1" type: "component" id: "google-vertex-ai-workbench" kind: "ml-platform" provider: "gcp" docs: "https://cloud.google.com/vertex-ai/docs/workbench/instances/idle-shutdown" defaults: managed: true computeInstances: 1 gpuEnabled: false modelRegistry: false experimentTracking: false properties: idleShutdown: type: "boolean" default: true idleShutdownMinutes: type: "integer" default: 180 upgradeable: type: "boolean" default: true