Insights > Blog

Utilizing GPUs to Accelerate Machine Learning with Redapt and NVIDIA

By Sarah Jones | Posted on August 5, 2019 | Posted in Artificial Intelligence (AI), Events

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

When:  Thursday, August 22, 2019
9 a.m. to 4:00 p.m.

Location: Redapt Corporate Office
14051 NE 200th Street, Woodinville, WA 98072

Gain hands-on experience while you 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
  • Use TensorRT to deploy and optimize models for production


AGENDA 

9:00 a.m. – 10:00 a.m.  Welcome, Setup, and Kickoff  (coffee and pastries provided)

10:00 a.m. – 12:00 p.m. 
Employing NGC and Docker to Run TensorFlow on the NVIDIA DGX-1
Scaling Out Deep Learning Workloads with NVIDIA DGX POD Architecture

12:00 p.m. – 1:00 p.m.
Catered Lunch & Case Study

1:00 p.m. – 3:00 p.m.
PART ONE: Introduction to NVIDIA RAPIDS
PART TWO: RAPIDS for Data Engineering

3:00 p.m. – 3:30 p.m.
Using TensorRT to Deploy and Optimize Models for Production

3:30 p.m. – 4 p.m.
Q&A: Real-World Applications

Register today to secure your spot.