Terraform
Moving Local Experiments to the Cloud with Terraform Provider Iterative (TPI) and Docker
Tutorial for easily running experiments in the cloud with the help of Terraform Provider Iterative (TPI) and Docker.
Moving Local Experiments to the Cloud with Terraform Provider Iterative (TPI)
Tutorial for easily moving a local ML experiment to a remote cloud machine with the help of Terraform Provider Iterative (TPI).
Machine Learning Workloads with Terraform Provider Iterative
Today we introduce painless resource orchestration for your machine learning projects in conjunction with HashiCorp Terraform.
February '21 Community Gems
A roundup of technical Q&A's from the DVC community. This month: best practices for config files, pipeline dependency management,and caching data for CI/CD. Plus a new CML feature to launch cloud compute with Terraform!
CML Pre-Release Notes: Automatically Train Models in the Cloud with CML 0.3.0
New features are here to make launching cloud compute for continuous integration workflows shorter, sweeter and easier than ever. Plus, a new GitHub Action to setup CML means more ways to use CML without our Docker container.