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Amazon SageMaker AI

awsML platformaws-sagemaker

Managed machine learning workspace for building, training and deploying models.

Provider
aws
Kind
ML platform
Category
Compute
Official docs
https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateDomain.html
Properties · 4 set by this component
propertytypevaluesrequiredkind defaultthis component
authMode · component propertyenumiam | ssono—inherited
computeInstancesinteger—no—inherited
customerManagedKey · component propertyboolean—nofalseinherited
experimentTrackingboolean—notrue▸ true
gpuEnabledboolean—no—inherited
homeEfsFileSystem · component propertyboolean—notrueinherited
managedboolean—nofalse▸ true
modelRegistryboolean—notrue▸ true
networkAccess · component propertyenumpublic-internet-only | vpc-onlynopublic-internet-onlyinherited
publicAccessboolean—no—▸ true
Rules that apply · 1

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 redundancyerror
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
Use it in a design
nodes:
  - { id: "sagemaker", component: "aws-sagemaker" }
Other ML platform products · 61
Platform for AIalibaba-paialibabacloudml-platformAWS Clean Rooms MLaws-clean-rooms-mlawsml-platformAmazon SageMaker Canvasaws-sagemaker-canvasawsml-platformAmazon SageMaker Feature Storeaws-sagemaker-feature-storeawsml-platformManaged MLflow on Amazon SageMaker AIaws-sagemaker-mlflowawsml-platformAmazon SageMaker Unified Studioaws-sagemaker-unified-studioawsml-platformMicrosoft Foundryazure-ai-foundryazureml-platformAzure Machine Learningazure-machine-learningazureml-platformAbacus.AIabacus-aiml-platformAlteryxalteryxml-platformArgillaargillaml-platformC3 AI Platformc3-aiml-platformClearMLclearmlml-platformCometcomet-mlml-platformCVATcvatml-platformDataikudataikuml-platformDataRobotdatarobotml-platformDatasaurdatasaurml-platformDetermined AIdeterminedml-platformDomino Data Labdomino-data-labml-platformDVCdvcml-platformEncordencordml-platformFeastfeastml-platformFlyteflyteml-platformH2O.aih2oml-platformKilikiliml-platformKNIMEknimeml-platformKubeflowkubeflowml-platformLabel Studiolabel-studioml-platformLabelboxlabelboxml-platformMetaflowmetaflowml-platformGeneric ML platformml-platformml-platformMLflowmlflowml-platformneptune.aineptune-aiml-platformNVIDIA DGX Cloudnvidia-dgx-cloudml-platformPachydermpachydermml-platformPolyaxonpolyaxonml-platformProdigyprodigyml-platformRapidMiner AI Hubrapidminerml-platformRoboflowroboflowml-platform
and 21 more → ML platform page
Source
# yaml-language-server: $schema=../../schema/component.schema.json
# Amazon SageMaker AI domain: the managed ML workspace (Studio, spaces, model registry, experiments).
# CreateDomain defaults per the SageMaker API Reference: AppNetworkAccessType "PublicInternetOnly",
# a home EFS volume created and encrypted with an AWS managed KMS key, custom tag propagation DISABLED.
schemaVersion: "1"
type: "component"
id: "aws-sagemaker"
kind: "ml-platform"
provider: "aws"
docs: "https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateDomain.html"
defaults:
  managed: true
  publicAccess: true
  modelRegistry: true
  experimentTracking: true
properties:
  authMode:
    type: "enum"
    values: ["iam", "sso"]
  networkAccess:
    type: "enum"
    values: ["public-internet-only", "vpc-only"]
    default: "public-internet-only"
  homeEfsFileSystem:
    type: "boolean"
    default: true
  customerManagedKey:
    type: "boolean"
    default: false

The same page as markdown, for an agent: /catalogue/components/aws-sagemaker.md