Zeema
New design
Catalogue / ml-platform

Polyaxon

ML platformpolyaxon

Self-hostable control plane running and tracking machine learning workloads on Kubernetes.

Provider
default
Kind
ML platform
Category
Compute
Official docs
https://polyaxon.com/docs/
Properties · 3 set by this component
propertytypevaluesrequiredkind defaultthis component
computeInstancesinteger—no—inherited
deployment · component propertyenumself-hosted | cloudnoself-hostedinherited
distributedTraining · component propertyboolean—notrueinherited
experimentTrackingboolean—notrue▸ true
gpuEnabledboolean—no—inherited
hyperparameterTuning · component propertyboolean—notrueinherited
managedboolean—nofalse▸ false
modelRegistryboolean—notrue▸ true
publicAccessboolean—no—inherited
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: "polyaxon", component: "polyaxon" }
Other ML platform products · 61
Platform for AIalibaba-paialibabacloudml-platformAWS Clean Rooms MLaws-clean-rooms-mlawsml-platformAmazon SageMaker AIaws-sagemakerawsml-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-platformProdigyprodigyml-platformRapidMiner AI Hubrapidminerml-platformRoboflowroboflowml-platform
and 21 more → ML platform page
Source
# yaml-language-server: $schema=../../schema/component.schema.json
# Polyaxon: "an open-source AI engineering control plane" for building, training, serving and
# monitoring machine learning workloads on Kubernetes. It tracks metrics, artifacts, visualisations
# and lineage, versions models, artifacts, components and datasets in a registry, and runs distributed
# training, hyperparameter tuning and mapped workloads. It is "open, self-hostable, and extensible",
# and also sold as a hosted cloud version ("Overview - Polyaxon").
schemaVersion: "1"
type: "component"
id: "polyaxon"
kind: "ml-platform"
provider: "default"
docs: "https://polyaxon.com/docs/"
defaults:
  managed: false
  modelRegistry: true
  experimentTracking: true
properties:
  deployment:
    type: "enum"
    values: ["self-hosted", "cloud"]
    default: "self-hosted"
  distributedTraining:
    type: "boolean"
    default: true
  hyperparameterTuning:
    type: "boolean"
    default: true

The same page as markdown, for an agent: /catalogue/components/polyaxon.md