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Deep Learning is a moving target with new models and hardware constantly coming to market. How do you keep up? How can you make sure your applications are ready for the next wave of AI?

In this first of a multi-part webinar series, Rob Ober, Chief Platform Architect for Tesla Datacenter Products at NVIDIA, will start with an overview of the deep learning inference pipeline, followed by an outline of specialized challenges and unique requirements that come with it . You’ll learn how developers at the most advanced AI companies are addressing these challenges today using GPUs, and you’ll get actionable insights that you can apply to address these challenges in your work today.

By watching this webinar replay, you'll learn:
  • Use-cases where accelerated deep learning inference can address your organization’s application performance challenges
  • Our optimized deep learning software stack and options for trying out GPU-based inference either on-prem or in the cloud.
  • Pre-trained models, scripts and tutorials to get started today easily

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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

Rob Ober

Chief Platform Architect, Tesla Datacenter Products, NVIDIA

Rob Ober joined NVIDIA in 2016 to work closely with hyperscales and Cloud Providers building GPU deployments for AI and Deep Learning. Rob has more than 40 international patents and 18 disclosures in processor architecture, storage systems, SSDs, networks, wireless, power management, and mobile devices. Ober has a BASc. degree in Systems Design Engineering from the University of Waterloo in Ontario, Canada.

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Date & Time: Wednesday, April 22, 2018