AI & Deep Learning
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Date: 01 Jan 2019
Time: 10:00am – 11:00am GMT
Duration: 1 hour


Deploying applications on HPC clusters comes with its own set of challenges. GPU-optimized software containers from NGC simplify HPC and AI application deployment, giving researchers the tools they need to drive productivity and provide a faster time to solution.

Join Scott McMillan, NVIDIA Senior Solutions Architect, in discussing how to accelerate your workflows with Singularity.

By attending this webinar, you’ll learn:
  • How to address challenges in utilizing HPC and AI software
  • The benefits and performance improvements enabled by containers for HPC workloads
  • How to run multi-node workloads with NGC containers and Singularity
  • The 3 steps to deploy HPC and AI applications
  • Tips for building your own GPU-accelerated multi-node containers

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DGX Station Datasheet

Get a quick low-down and technical specs for the DGX Station.
DGX Station Whitepaper

Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.
DGX Station Whitepaper

Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.

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Speaker

Scott McMillan

Senior Solution Architect, NVIDIA

Scott McMillan is a Senior Solutions Architect at NVIDIA where he works on high performance computing. He focuses on making HPC more accessible and easier to use. Formerly he was a software architect and engineering manager at Intel. Scott holds a Ph.D. in Chemical Engineering from Northwestern University.

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Date & Time: Wednesday, April 22, 2018