The Conference for Machine Learning Innovation

Towards a Convenient ML Infra

Session
Join the ML Revolution!
Register until October 20:
✓ Save up to $233
✓ Team discount
✓ Extra Specials for Freelancers
Register Now
Join the ML Revolution!
Register until October 20:
✓ Save up to $233
✓ Team discount
✓ Extra Specials for Freelancers
Register Now
Join the ML Revolution!
Register until November 03:
✓ Save up to €494
✓ 10% Team Discount
✓ Special discount for freelancers
Register Now
Join the ML Revolution!
Register until November 03:
✓ Save up to €494
✓ 10% Team Discount
✓ Special discount for freelancers
Register Now
Join the ML Revolution!
Until the Conference starts:
✓ Group discount
✓ Special discount for freelancers
Register Now
Join the ML Revolution!
Until the Conference starts:
✓ Group discount
✓ Special discount for freelancers
Register Now
Infos

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.

This Session Diese Session Take me to the current program of . Hier geht es zum aktuellen Programm von Singapore Singapore , Berlin Berlin or oder Munich Munich .

Behind the Tracks