DVC
ML platformdvc
Open-source data version control: Git pointers with data kept in a remote store.
- Provider
- default
- Kind
- ML platform
- Category
- Compute
- Also known as
- Data Version Control
| property | type | values | required | kind default | this component |
|---|---|---|---|---|---|
| computeInstances | integer | — | no | — | inherited |
| experimentTracking | boolean | — | no | true | ▸ true |
| gpuEnabled | boolean | — | no | — | inherited |
| managed | boolean | — | no | false | ▸ false |
| modelRegistry | boolean | — | no | true | ▸ false |
| publicAccess | boolean | — | no | — | inherited |
| remote | enum | none | local | s3 | gcs | azure-blob | ssh | http | no | none | 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: "dvc", component: "dvc" }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-labEncordencordFeastfeastFlyteflyteH2O.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 # DVC: open-source data version control for ML projects. Git keeps small .dvc pointer files while the data itself # goes to a DVC remote such as S3, Google Cloud Storage, Azure Blob, SSH, HTTP or a local directory; `dvc exp` tracks # experiments. lakeFS acquired the DVC project from Iterative on 18 November 2025 and keeps it open source. schemaVersion: "1" type: "component" id: "dvc" kind: "ml-platform" provider: "default" docs: "https://dvc.org/doc/user-guide/data-management/remote-storage" aliases: ["Data Version Control"] defaults: managed: false experimentTracking: true modelRegistry: false properties: remote: type: "enum" values: ["none", "local", "s3", "gcs", "azure-blob", "ssh", "http"] default: "none"