The Conference for Machine Learning Innovation

Towards the convenient ML Infra

Session
Join the ML Revolution!
Register until January 23:
✓Raspberry Pi or C64 Mini for free
✓Save up to $330
✓ Group Discount
Register Now
Join the ML Revolution!
Register until January 23:
✓Raspberry Pi or C64 Mini for free
✓Save up to $330
✓ Group Discount
Register Now
Join the ML Revolution!
Register until March 5:
✓ML Intro Day for free
✓Save up to 500 €
✓10 % Team Discount
Register Now
Join the ML Revolution!
Register until March 5:
✓ML Intro Day for free
✓Save up to 500 €
✓10 % Team Discount
Register Now
Join the ML Revolution!
Until Conference starts:
✓Special discount for Freelancers
✓10% Team Discount
Register Now
Join the ML Revolution!
Until Conference starts:
✓Special discount for Freelancers
✓10% Team Discount
Register Now

Summary of our experience with constructing, hacking, and maintaining the machine learning infrastructure for our R&D team of 10 people. What’s the difference between a research ML environment and a production ML environment? Evolution of our workflow management. Encouraging the transparent and collaborative ML development culture. What’s better, clouds or homebrew? Constrained resources, Docker, Kubernetes, and you. How we solved complex problems, e.g. enabled GPU overcommitting for JupyterHub. Deploying the scientific Python stack, Tensorflow, PyTorch properly.

Behind the Tracks