Data Version Control Blog

Insights and updates from the DVC team. Explore best practices in data versioning, machine learning workflows, and model management. Stay informed with our latest news, tutorials, and community highlights.
MLEM + Modal + nanoGPT
Train and deploy your own GPT model in 2 easy steps!
  • Mike Sveshnikov
  • Feb 08, 20232 min read
Deploy Computer Vision Models Faster and Easier
One command to serve CV models from your laptop in the cloud 🚀
  • Mike Sveshnikov
  • Jan 19, 20233 min read
January '23 Heartbeat
Monthly updates are here! Great content from the Community, including a new tutorial video on MLEM and shout out from Tryolabs for MLEM, great new tutorial on DVC, Casper da Costa-Luis' video on CML from MLOps Summit and more! Happy 2023!
  • Jeny De Figueiredo
  • Jan 17, 20234 min read
December '22 Heartbeat
Monthly updates are here! Great content from the Community, including a DVC extension for VS Code tutorial, sweet MLOps guide, framework agnostic ml pipeline with DVC and non-Python apps to integrate ML models with MLEM. Welcome to December!
  • Jeny De Figueiredo
  • Dec 16, 20226 min read
Instant Experiment Tracking: Just Add DVC!
Experiment tracking in DVC with a few lines of Python.
  • Dave Berenbaum
  • Dec 15, 20223 min read
Building a GitOps ML Model Registry with DVC and GTO
Got your data and model versioning down? ✅ Learn how to take your projects to the next level by creating a model registry right in your project's Git repo
  • Alexander Guschin
  • Dec 07, 20229 min read
November '22 Heartbeat
Monthly updates are here! NLP will have a bigger impact than Computer vision? WDYT? Dmitry speaks at Github Universe, MLEM new deployment features, SOC 2 Type 1 compliance, more events, and great Community content. Welcome to November!
  • Jeny De Figueiredo
  • Nov 18, 20228 min read
Deploy ML models to k8s and SageMaker with a single line of code
MLEM takes the evil configs out of Kubernetes and SageMaker to make your life easier just in time for Halloween 🎃
  • Alexander Guschin
  • Oct 31, 20223 min read
From Jupyter Notebook to DVC pipeline for reproducible ML experiments
In this guide we will take a Jupyter Notebook and use Papermill to turn it into a simple, one-stage DVC pipeline.
  • Rob de Wit
  • Oct 24, 20229 min read