Zeema
New design
Catalogue / ml-platform

ZenML

ML platformzenml

Open-source MLOps framework and server tracking pipelines, artifacts and models.

Provider
default
Kind
ML platform
Category
Compute
Official docs
https://docs.zenml.io/deploying-zenml/deploying-zenml
Also known as
ZenML Pro
Properties · 3 set by this component
propertytypevaluesrequiredkind defaultthis component
computeInstancesinteger—no—inherited
deployment · component propertyenumlocal | docker | helm | zenml-pronolocalinherited
experimentTrackingboolean—notrue▸ false
gpuEnabledboolean—no—inherited
managedboolean—nofalse▸ false
modelRegistryboolean—notrue▸ true
port · component propertyinteger—no8237inherited
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: "zenml", component: "zenml" }
Other ML platform products · 61
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and 21 more → ML platform page
Source
# yaml-language-server: $schema=../../schema/component.schema.json
# ZenML: open-source MLOps framework whose server records pipelines, artifacts and models across stacks of
# orchestrators and stores. Per "Deploying ZenML", a local server starts on 127.0.0.1:8237, the zenmldocker/zenml-server
# image runs on Docker or a container platform, Helm deploys to Kubernetes, and ZenML Pro is the managed control plane.
schemaVersion: "1"
type: "component"
id: "zenml"
kind: "ml-platform"
provider: "default"
docs: "https://docs.zenml.io/deploying-zenml/deploying-zenml"
aliases: ["ZenML Pro"]
defaults:
  managed: false
  experimentTracking: false
  modelRegistry: true
properties:
  deployment:
    type: "enum"
    values: ["local", "docker", "helm", "zenml-pro"]
    default: "local"
  port:
    type: "integer"
    default: 8237

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