Closed vmarkovtsev closed 5 years ago
TODO: turn this into an issue
On the road to shared ML infrastructure
Summary of our experience with constructing and maintaining a machine learning infrastructure for the R&D team. Constrained resources, Docker, Kubernetes, and you. How we solved the problems, e.g. GPU overcommitting for JupyterLab. What's the difference between a research environment and a production environment. Evolution of the workflow management.
@vmarkovtsev sorry I did not see this earlier. Please tag or assign to me so that I can review on time.
Did you end up submitting ?
I got a preliminary acceptance, and I am talking with the organizers today.
@vcoisne Let's remove the "accepted" label for now. They have not contacted me since that call, and I am not mentioned in the list of speakers. There were two options for me: to sponsor them or to become a woman, I rejected both :(
Removed @vmarkovtsev
I am silently rejected.
Ok closing then
URL: https://datanatives.io/
Location: Berlin, Germany
Dates: 2019/11/25-26
Expenses covered: no
Topic: ML, AI
Call for Papers:
deadline: 2019/07/01 link: https://datanatives.typeform.com/to/lOn3XI
Notes:
I spoke there two years ago. The organizers contacted me and I've submitted a talk today.