KNIME
ML platformknime
Visual data and ML workflows, shared and deployed through KNIME Business Hub.
- Provider
- default
- Kind
- ML platform
- Category
- Compute
- Also known as
- KNIME Business Hub, KNIME Analytics Platform
| property | type | values | required | kind default | this component |
|---|---|---|---|---|---|
| cluster | enum | existing-kubernetes | embedded | no | existing-kubernetes | inherited |
| computeInstances | integer | — | no | — | inherited |
| edition | enum | business-hub | community-hub | no | business-hub | inherited |
| experimentTracking | boolean | — | no | true | ▸ false |
| gpuEnabled | boolean | — | no | — | inherited |
| managed | boolean | — | no | false | ▸ false |
| modelRegistry | boolean | — | no | true | ▸ false |
| 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: "knime", component: "knime" }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.aih2oKilikiliKubeflowkubeflowLabel 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 # KNIME: open-source KNIME Analytics Platform (desktop) for visual data and ML workflows, with KNIME Business Hub as # the server that shares, schedules and deploys them. Per the Business Hub installation guide, the Hub runs on # Kubernetes, either an existing cluster or an embedded kURL cluster for single-node or small installs. schemaVersion: "1" type: "component" id: "knime" kind: "ml-platform" provider: "default" docs: "https://docs.knime.com/latest/business_hub_installation_guide/index.html" aliases: ["KNIME Business Hub", "KNIME Analytics Platform"] defaults: managed: false experimentTracking: false modelRegistry: false properties: edition: type: "enum" values: ["business-hub", "community-hub"] default: "business-hub" cluster: type: "enum" values: ["existing-kubernetes", "embedded"] default: "existing-kubernetes"