Table of Contents:

• Core Concepts
• Workload Management
• valohai.yaml - Config File
• valohai-cli - Command-line Client
• Jupyhai - Jupyter Notebooks with Valohai
• Valohai API for Automation
• Docker Images
• Access Private Docker Repositories
• Running Valohai Inside Your Own Cloud or On-premise Environment
• Architecture Overview
• Frequently Asked Questions
• Tutorials
  • Valohai Quickstart 🦈✨
  • Onboard your team
  • Advanced topics
  • Connect to a cloud storage
  • Connect to a code repository
  • Migrating existing Python projects to Valohai
  • Building Docker Images
  • Access additional git repository during execution runs
  • Valohai API samples to automate your workflow
  • Using with Airflow Pipelines
  • Integrating with Azure Active Directory
  • Quickstarts
    • Jupyter Notebooks with Valohai
    • Quick Start - TensorFlow Example (MNIST)
    • Quick Start - Keras Example (Deep Dream)
    • Quick Start - R Example
    • Quick Start - Command-line Client
    • Quick Start - API Automation

/ Tutorials

Quickstarts

If you wish to understand Valohai without running anything yourself, read about the core concepts.

If you wish to get your hands dirty, you can get a feeling for the platform with these quickstarts:

• Jupyter Notebooks with Valohai
  • Quick Start - Jupyter Notebooks (MNIST)
  • Quick Start - Hosted Jupyter Notebooks (MNIST)
• Quick Start - TensorFlow Example (MNIST)
• Quick Start - Keras Example (Deep Dream)
• Quick Start - R Example
• Quick Start - Command-line Client
• Quick Start - API Automation