Speaker
Register until March 11:
✓Save more than 500 € and get ML Intro Day for free
✓ Workshop day for free
✓10 % Team Discount
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Register until March 11:
✓Save more than 500 € and get ML Intro Day for free
✓ Workshop day for free
✓10 % Team Discount
Register Now
Register until December 12:
✓ML Intro Day for free
✓Raspberry Pi or C64 Mini for free
✓Save up to $580
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Register until December 12:
✓ML Intro Day for free
✓Raspberry Pi or C64 Mini for free
✓Save up to $580
Register Now
Register until November 7th:
✓Save up to € 210
✓10% Team Discount
Register Now
Register until November 7th:
✓Save up to € 210
✓10% Team Discount
Register Now
Infos
15:30 - 16:15
Description
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 belongs to the Diese Session gehört zum Programm vom SingaporeSingapore program. Take me to the program of . Hier geht es zum Programm von Online Edition Online Edition .
This Session belongs to the Diese Session gehört zum Programm vom SingaporeSingapore program. Take me to the program of . Hier geht es zum Programm von Munich Munich .
This Session belongs to the Diese Session gehört zum Programm vom SingaporeSingapore program. Take me to the program of . Hier geht es zum Programm von Berlin Berlin .