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Introduction

Valohai enables data scientists concentrate on their code and data by automating machine orchestration for all major cloud providers and on-premises hardware.

Highlights

  • Valohai Machine Orchestration provides transparent and fast orchestration of any machine instances needed and performs automatic shutdown when execution is complete.

Features and Benefits

  • Learn how to version-control every machine learning experiment automatically covering metadata such as the software environment, hardware, code run, data sources, experiment parameters, costs, results, and the people involved.
  • Evaluate the use of automatic ML pipelines to enable ML training to be split into steps that can be automatically run at a threshold or timeline, either sequentially or manually in batches.

Key questions answered

  • Which phase of the machine learning lifecycle does Valohai focus on for automation?
  • Does the user need to make changes to how they work for Valohai to apply?

Table of contents

Summary

  • Catalyst
  • Key messages

Recommendations for enterprises

  • Why put Valohai on your radar?

Highlights

  • Background
  • Current position

Data sheet

  • Key facts

Appendix

  • On the Radar
  • Authors