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
  • 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

Tutorials

This section contains more in-depth guidance for specific features of the Valohai platform.

Get started with Valohai

• Valohai Quickstart 🦈✨
• Onboard your team
• Advanced topics
• Connect to a cloud storage
  • Connecting to Azure Storage Account
  • Connecting to Google Cloud Storage
  • Connecting to AWS S3
  • Connecting to OpenStack Swift
• Connect to a code repository
  • Integrating with GitHub
  • Integrating with Bitbucket
  • Integrating with GitLab

Other tutorials

• Building Docker Images
• Access additional git repository during execution runs
• Valohai API samples to automate your workflow
  • Fetch your projects with Valohai APIs
  • Fetch failed executions with Valohai APIs
  • Download metadata of a single execution
  • Trigger an execution after a push to a code repository
• Using with Airflow Pipelines
• Integrating with Azure Active Directory

Quickstarts

• 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