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Introduction

Date: Tuesday, January 23, 2024
Time: 8 a.m. – 9 a.m. PT
Duration: 1 hour

Generative AI has opened doors to innovative possibilities and is considered an essential part of enterprise transformation. But, developing and deploying an end-to-end AI pipeline poses opportunities and challenges. A full-stack approach allows enterprises to overcome obstacles - such as technical complexities, model performance, and time to value - and speed up success.

Join this webinar for a deep dive on using NVIDIA AI foundry to build, train, and deploy custom generative AI models at scale anywhere, for improved productivity and lower costs.

In this webinar, you’ll learn how to:
  • Build an end-to-end generative AI workflow with retrieval augmented generation
  • Accelerate the training, fine-tuning, and deployment of large language models
  • Use enterprise-grade runtimes for generative AI applications
Don’t miss out and sign up now.

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.
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

Anne Hecht
Senior Director, Product Marketing, NVIDIA
Anne Hecht is senior director of product marketing for enterprise software products at NVIDIA, including the NVIDIA AI Enterprise software suite and virtual client computing solutions such as the NVIDIA RTX™ Virtual Workstation. Previously, she held senior positions in product marketing, solutions marketing, and corporate marketing at enterprise technology firms Sun Microsystems, NComputing, ForgeRock, and Agari. Anne has an MBA from the Wharton School of Business at the University of Pennsylvania and a bachelor's degree from the University of Pennsylvania.
Tony Paikeday
Director, Product Marketing, NVIDIA
Tony Paikeday is the director of product marketing for the NVIDIA DGX portfolio of AI supercomputers and NVIDIA accelerated data science platform. Previously, Tony was with VMware, responsible for bringing desktop and application virtualization solutions to market, as well as key enabling technologies including GPU virtualization and the software-defined data center. Earlier, he built data center solutions at Cisco. He started his career as a manufacturing engineer at Ford Motor Company, where he later held business development roles working with enterprise and service provider accounts. Tony holds an engineering degree from the University of Toronto.
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Date & Time: Wednesday, April 22, 2018