Determined AI
ML platformdetermined
Open source deep learning platform scheduling distributed training and HPO on GPUs.
- Provider
- default
- Kind
- ML platform
- Category
- Compute
- Official docs
- https://github.com/determined-ai/determined
| property | type | values | required | kind default | this component |
|---|---|---|---|---|---|
| computeInstances | integer | — | no | — | inherited |
| experimentTracking | boolean | — | no | true | ▸ true |
| framework | enum | pytorch | tensorflow | no | — | inherited |
| gpuEnabled | boolean | — | no | — | ▸ true |
| hyperparameterSearch | boolean | — | no | true | inherited |
| managed | boolean | — | no | false | ▸ false |
| modelRegistry | boolean | — | no | true | ▸ true |
| publicAccess | boolean | — | no | — | inherited |
| resourceManager | enum | agent | kubernetes | slurm | pbs | 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: "determined", component: "determined" }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-mlCVATcvatDataikudataikuDataRobotdatarobotDatasaurdatasaurDomino 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 # Determined: open source deep learning platform, a master plus agents scheduling GPU training jobs. # Facts from the Determined project README: Apache 2.0, self-deployed on-premises, on AWS or GCP, # on Kubernetes or on Slurm/PBS HPC clusters; distributed training, HPO, tracking and model registry. schemaVersion: "1" type: "component" id: "determined" kind: "ml-platform" provider: "default" docs: "https://github.com/determined-ai/determined" defaults: experimentTracking: true modelRegistry: true gpuEnabled: true managed: false properties: resourceManager: type: "enum" values: ["agent", "kubernetes", "slurm", "pbs"] hyperparameterSearch: type: "boolean" default: true framework: type: "enum" values: ["pytorch", "tensorflow"]