Utilizing GPUs to Accelerate Machine Learning with Redapt and NVIDIA

  • August 5, 2019

    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


    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.