Kubeflow Katib

Kubeflow Katib with Meshery

Collaborative and visual infrastructure as design for Kubeflow Katib

Features

  • Automates hyperparameter tuning and NAS
  • Supports various search algorithms
  • Integrates with Kubeflow Pipelines

Overview

Katib is a Kubernetes-native project for automated machine learning (AutoML). Katib supports hyperparameter tuning, early stopping and neural architecture search (NAS).

Collaboratively and visually diagram your cloud native infrastructure with GitOps-style pipeline integration. Design, test, and manage configuration your Kubernetes-based, containerized applications as a visual topology.

Looking for best practice cloud native design and deployment best practices? Choose from thousands of pre-built components in MeshMap. Choose from hundreds of ready-made design patterns by importing templates from Meshery Catalog or use our low code designer, MeshMap, to create and deploy your own cloud native infrastructure designs.

See Documentation

Kubeflow Katib Components (3)

Kubernetes Orchestration and Diagramming software

Orchestrate and design Kubernetes architecture diagrams easily with predefined templates and symbols designed for professionals.

  • Performance Icon
    Extensive library of integrations
  • Configuration Icon
    Infrastructure orchestration
  • Performance Icon
    Multi-player editing
  • Performance Icon
    Ready-to-use templates
  • Configuration Icon
    Visual drag & drop
  • Performance Icon
    Operate with No Code

How it Works

See It in Action

Better together - Kubeflow Katib with Meshery

Integrates Katib experiments

Efficient hyperparameter optimization for machine learning in Kubernetes

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