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Introduction

Date: Thursday, January 20, 2022
Time: 9:30am – 10:15am PT
Duration: 45 Minutes


Using GPUs with Kubernetes is not easy. Developers must painstakingly download, configure, and manage many software components.

With GPU Operator, an open source, containerized helm chart, infrastructure teams can scale GPU applications error-free, within minutes, automatically.



In this webinar you will learn:
  • Key features of GPU Operator
  • Examples of how to configure GPU Operator
Join us after the presentation for a live Q&A session.

WEBINAR REGISTRATION

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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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SpeakerS

Francis Guillier

Senior Product Manager, NVIDIA

Francis is a product manager working on Containers and Kubernetes at NVIDIA. He is focusing on several products including GPU Operator and Container Toolkit. Francis is passionate about virtualization at OS and hardware level and has been working for many years with Kubernetes and Docker. In his current role at NVIDIA, his main objective is to leverage the power of GPU for ML/AI workloads in a containerized environment.

Christopher Desiniotis

Systems Software Engineer, NVIDIA

Christopher Desiniotis is a Systems Software Engineer working on cloud-native technologies at NVIDIA. His focus is on enabling GPUs in Containers and Kubernetes. He holds a B.S. and M.S. in Computer Science and Engineering from Santa Clara University.

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Webinar: Description here

Date & Time: Wednesday, April 22, 2018