Loading…
DevConf.US 2021 has ended
Registration is now OPEN! Please register on hopin as soon as possible!

DevConf.US 2021 is the 4th annual, free, Red Hat sponsored technology conference for community project and professional contributors to Free and Open Source technologies coming to a web browser near you!
Back To Schedule
Friday, September 3 • 11:30 - 12:00
Distributed ML workflow in a multi-node GPU realm

Sign up or log in to save this to your schedule, view media, leave feedback and see who's attending!



Is a single GPU node not enough for your machine learning (ML) workflow anymore? As the datasets and models get bigger, the demand for more powerful and efficient GPUs is rapidly increasing. Oftentimes when a single GPU is not adequate for an ML use case, the immediate response is to throw a bigger GPU at it, an expensive proposition. An alternative to upgrading the GPU hardware is to distribute the ML workload either across several GPUs on one node, or across multiple nodes each containing one or several GPUs. The ability for the latter is especially preferred when a single machine can fit only so many GPUs. In this talk, we will explore how one can distribute a machine learning workflow across several nodes with GPU hardware in a cloud environment. We will use PyTorch and Kubeflow to distribute the ML workload and carry out the training in Open Data Hub. At the end of this talk, attendees will understand how to overcome the GPU hardware limits of a single node training by taking advantage of GPUs on other machines, and therefore, maximizing the utilization of GPUs in an open cloud environment.

Speakers
SN

Selbi Nuryyeva

Software Engineer, Red Hat


Friday September 3, 2021 11:30 - 12:00 EDT
Virtual