Valohai
ML platformvalohai
MLOps platform that versions every run, with workers in your own cloud or on-premise.
- Provider
- default
- Kind
- ML platform
- Category
- Compute
- Official docs
- https://docs.valohai.com/installation-and-setup
| property | type | values | required | kind default | this component |
|---|---|---|---|---|---|
| computeInstances | integer | — | no | — | inherited |
| deployment | enum | hosted-app-own-workers | self-hosted | no | hosted-app-own-workers | inherited |
| experimentTracking | boolean | — | no | true | ▸ true |
| gpuEnabled | boolean | — | no | — | inherited |
| managed | boolean | — | no | false | ▸ true |
| modelRegistry | boolean | — | no | true | ▸ true |
| publicAccess | boolean | — | no | — | 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: "valohai", component: "valohai" }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 # Valohai: MLOps platform that versions every training run and pipeline. Per "Installation & Setup", the Valohai # application is hosted by Valohai while workers run in the customer's own AWS, GCP, Azure or on-premise environment, # or both application and infrastructure run self-hosted inside the customer's network. schemaVersion: "1" type: "component" id: "valohai" kind: "ml-platform" provider: "default" docs: "https://docs.valohai.com/installation-and-setup" defaults: managed: true experimentTracking: true modelRegistry: true properties: deployment: type: "enum" values: ["hosted-app-own-workers", "self-hosted"] default: "hosted-app-own-workers"