Utilizing GPUs to Accelerate Machine Learning
Presented by NVIDIA and Redapt
Please join us 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
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
Simply fill out the form to register and secure your spot.
Space is limited.