Scale AI
ML platformscale-ai
Training-data platform with ML pre-labelling and human review, called through the Scale API.
- Provider
- default
- Kind
- ML platform
- Category
- Compute
- Also known as
- Scale Data Engine, Scale GenAI Platform
| property | type | values | required | kind default | this component |
|---|---|---|---|---|---|
| apiMode | enum | live | sandbox | no | live | inherited |
| callbackUrl | boolean | — | no | false | inherited |
| computeInstances | integer | — | no | — | inherited |
| experimentTracking | boolean | — | no | true | ▸ false |
| gpuEnabled | boolean | — | no | — | inherited |
| managed | boolean | — | no | false | ▸ true |
| 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: "scale-ai", component: "scale-ai" }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 # Scale AI: training-data platform that combines ML pre-labelling with human review, reached over the Scale API. # Per "Authentication" calls use HTTP Basic auth with an API key, and per "Introduction to Scale API" the key decides # whether a request runs in live mode or sandbox mode. Meta took a 49% stake in Scale AI in June 2025. schemaVersion: "1" type: "component" id: "scale-ai" kind: "ml-platform" provider: "default" docs: "https://api-reference.scale.com/docs/api-reference/authentication" aliases: ["Scale Data Engine", "Scale GenAI Platform"] defaults: managed: true experimentTracking: false modelRegistry: false properties: apiMode: type: "enum" values: ["live", "sandbox"] default: "live" callbackUrl: type: "boolean" default: false