SuperAnnotate
ML platformsuperannotate
Hosted platform for annotating and evaluating multimodal and LLM training data.
- Provider
- default
- Kind
- ML platform
- Category
- Compute
- Official docs
- https://doc.superannotate.com/docs/integrations
| property | type | values | required | kind default | this component |
|---|---|---|---|---|---|
| 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 |
| storage | enum | superannotate-hosted | s3 | gcs | azure-blob | databricks | custom | no | superannotate-hosted | 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: "superannotate", component: "superannotate" }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 # SuperAnnotate: hosted platform for annotating and evaluating multimodal and LLM training data. Per "Integrations", # items can come from AWS S3, GCP or Azure buckets, a Databricks database or custom storage, with read-only access to # the customer's storage. schemaVersion: "1" type: "component" id: "superannotate" kind: "ml-platform" provider: "default" docs: "https://doc.superannotate.com/docs/integrations" defaults: managed: true experimentTracking: false modelRegistry: false properties: storage: type: "enum" values: ["superannotate-hosted", "s3", "gcs", "azure-blob", "databricks", "custom"] default: "superannotate-hosted"