Microsoft Foundry
Project workspace that groups models, agents and tools with built-in evaluation, tracing and governance.
- Provider
- azure
- Kind
- ML platform
- Category
- Compute
- Also known as
- Azure AI Studio
| property | type | values | required | kind default | this component |
|---|---|---|---|---|---|
| agentService | boolean | — | no | true | inherited |
| bringYourOwnResources | boolean | — | no | false | inherited |
| computeInstances | integer | — | no | — | inherited |
| experimentTracking | boolean | — | no | true | ▸ true |
| gpuEnabled | boolean | — | no | — | inherited |
| guardrails | boolean | — | no | true | inherited |
| managed | boolean | — | no | false | ▸ true |
| modelRegistry | boolean | — | no | true | ▸ true |
| publicAccess | boolean | — | no | — | ▸ true |
| resourceModel | enum | foundry-project | hub-based-project | no | foundry-project | 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: "ai-foundry", component: "azure-ai-foundry" }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-studioAzure 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 HubrapidminerRoboflowroboflow
and 21 more → ML platform page# yaml-language-server: $schema=../../schema/component.schema.json # Microsoft Foundry: one Azure resource with projects that group agents, models and tools, with built-in tracing, evaluations and a model catalog. # "What is Microsoft Foundry?" lists tracing, monitoring, evaluations and the Foundry Models catalog as platform capabilities; "Configure Virtual Networks for Foundry Tools" states the resource accepts connections from any network until network rules are set. schemaVersion: "1" type: "component" id: "azure-ai-foundry" kind: "ml-platform" provider: "azure" docs: "https://learn.microsoft.com/en-us/azure/ai-foundry/what-is-azure-ai-foundry" aliases: ["Azure AI Studio"] defaults: managed: true modelRegistry: true experimentTracking: true publicAccess: true properties: resourceModel: type: "enum" values: ["foundry-project", "hub-based-project"] default: "foundry-project" agentService: type: "boolean" default: true guardrails: type: "boolean" default: true bringYourOwnResources: type: "boolean" default: false