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Introduction

Date: Tuesday, June 27, 2023
Time: 13:00 - 17:00 CEST
Duration: 4 hours


AI, accelerated computing and advanced visualization are increasing in relevance in many areas of our society. Developers around the world are the ones making the innovative ideas become a reality. But they need the best tools, frameworks, and libraries in their quest for success. At NVIDIA, we love to support the community that is shaping the future and today, we’re delighted to support your learning journey. Whether you’re thinking of developing some cool AR/VR applications, have a chatbot in mind, or would like to increase your knowledge in accelerated computing, this day is for you!

Agenda
1pm - 2pm

Get Started with CUDA

Nicolas Blin, AI DevTech, NVIDIA
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2pm - 3pm

Building Tools for the Metaverse with NVIDIA Omniverse

Mario Viviani, Dev Rel Manager for NVIDIA Omniverse
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3pm - 4pm
Generative AI Demystified
Adam Henryk Grzywaczewski, Senior Deep Learning Solution Architect, NVIDIA
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4pm - 5pm
Accelerating Ray Tracing and AI in Unreal Engine
Richard Cowgill, RTX Unreal Engine Evangelist, NVIDIA
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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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Session Abstract

Get Started with CUDA
Nicolas Blin, AI DevTech, NVIDIA
Come for an introduction to programming the GPU by Nicolas Blin, DevTech in the NVIDIA cuOpt team and teacher at Epita. CUDA's unique in being a programming language designed and built hand-in-hand with the hardware that it runs on. CUDA has revolutionized all scientific computing fields and is now the key component enabling the Deep Learning revolution we are witnessing.

During this talk you will learn the basics of GPU computing through the CUDA programming language and discover how it can be used to bring world records speed to Operational Research.
GenAI Demystified
Adam Henryk Grzywaczewski, Senior Deep Learning Solution Architect, NVIDIA
Discover how generative AI (GA) enables businesses to develop better products and services and deliver original content tailored to the unique needs of customers and audiences. Generative models are accelerating the development of applications for many use cases, including question-answering, summarizing, textual entailment, and generating 2D and 3D images and audio, among others. This session will provide an overview of the major developments in generative AI, where it currently stands, and what it could be capable of in the coming years. We’ll discuss technical details and popular use cases driving next-gen generative applications, as well as how businesses can responsibly take advantage of the technology.
Building Tools for the Metaverse with NVIDIA Omniverse
Mario Viviani, Manager of Developer Relations for NVIDIA Omniverse
What are the new opportunities for you offered by the Metaverse? How can NVIDIA Omniverse help you accelerate the integration with 3D workflows? Come to explore how you can align Omniverse to your business model and build the tools for the virtual worlds of today and tomorrow. You will learn:
  • What are the new opportunities for you offered by the Metaverse
  • How NVIDIA Omniverse can help you accelerate the integration with 3D workflows
  • How you can align Omniverse to your business model
  • How to get started creating Metaverse applications
Accelerating Ray Tracing and AI in Unreal Engine
Richard Cowgill, RTX Unreal Engine Evangelist, NVIDIA
In the past few years, advancements in real-time rendering in Unreal Engine have gotten us many steps closer to path-traced quality. Come see how individual technologies available today, such as Lumen, Direct Illumination, Shader Execution Reordering, and Nanite, help us achieve scenes without limits. We'll also discuss next steps, looking ahead to a future where true real-time path tracing becomes possible.


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Date & Time: Wednesday, April 22, 2018