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Catalogue / ml-platform

Comet

ML platformcomet-ml

Experiment tracking, model registry and model monitoring, as cloud or self-hosted.

Provider
default
Kind
ML platform
Category
Compute
Official docs
https://www.comet.com/docs/v2/
Properties · 3 set by this component
propertytypevaluesrequiredkind defaultthis component
computeInstancesinteger—no—inherited
deployment · component propertyenumcloud | self-hosted | sagemaker-partner-appnocloudinherited
experimentTrackingboolean—notrue▸ true
gpuEnabledboolean—no—inherited
managedboolean—nofalse▸ true
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: "comet-ml", component: "comet-ml" }
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-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
# Comet: experiment tracking, model registry and production monitoring for ML teams (Opik is its LLM sibling). Per
# "Deploying Comet Self Hosted", Comet is used as the managed cloud or self-hosted on Linux VMs, Kubernetes or as an
# Amazon SageMaker partner app inside an existing VPC.
schemaVersion: "1"
type: "component"
id: "comet-ml"
kind: "ml-platform"
provider: "default"
docs: "https://www.comet.com/docs/v2/"
aliases: ["Comet"]
defaults:
  managed: true
  experimentTracking: true
  modelRegistry: true
properties:
  deployment:
    type: "enum"
    values: ["cloud", "self-hosted", "sagemaker-partner-app"]
    default: "cloud"

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