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Virtual Workshop Series: Utilizing GPUs to Accelerate Machine Learning

Session Four of  the virtual workshop series is on July 9! 

Please join NVIDIA and Redapt for a free, virtual workshop series to learn how to build machine learning models that are optimized and designed to run on NVIDIA GPUs.

Simply fill out the form to register!

Virtual Workshop Series: Utilizing GPUs to Accelerate Machine Learning

  • Date: May 28, June 11, June 25, July 9
  • Time: 2:00 p.m. - 3:30 p.m. PST
  • Venue: Sessions will be hosted virtually. Meeting link will be distributed to attendees ahead of each workshop session.

Gain the hands-on experience you need to bolster your AI and machine learning expertise.

Applying NVIDIA GPU Cloud (NGC) and Docker, you’ll master:

  • Downloading frameworks
  • Setting up notebooks
  • Programming and running models

You’ll come away with the ability to:

  • Run TensorFlow models in Docker on multiple GPUs
  • Use RAPIDS to build data pipelines and do feature engineering
  • Utilize TensorRT to deploy and optimize models for production

 

VIRTUAL WORKSHOP SESSION DETAILS:

Thursday, May 28 at 2:00 p.m. - 3:30 p.m. PST
Walk through of NGC and Demo of the TensorFlow container (Hands-On Exercise) 

Thursday, June 11 at 2:00 p.m. - 3:30 p.m. PST
Practical Deep Learning walk through using GPUs (Hands-On Exercise)

Thursday, June 25 at 2:00 p.m. - 3:30 p.m. PST
Accelerate Machine Learning using GPUs with RAPIDS (Hands-On Exercise) 

Thursday, July 9 at 2:00 p.m. - 3:30 p.m. PST
Scaling out with NVIDIA Containers: Introducing Kubeflow on Kubernetes (Hands-On Exercise) 

 

WHAT TO BRING:
Confirmed registrants will need to "bring" a laptop to each of the hands-on, virtual workshop sessions.