Join speakers from our hottest NVIDIA GTC sessions as they host replays for an opportunity to network, learn, and share ideas—live.
Session 1: Generative AI Demystified
Session 2: How to use Generative AI to Build Content for Real-World Applications
Explore the extensive catalog of sessions, podcasts, demos, research posters, and more. Some content may require NVIDIA Developer Program membership.
Get your questions answered by the experts.
Join speakers from our hottest NVIDIA GTC sessions as they host replays for an opportunity to network, learn, and share ideas—live.
Session 1: Generative AI Demystified
Session 2: How to use Generative AI to Build Content for Real-World Applications
Join speakers from our hottest NVIDIA GTC sessions as they host replays for an opportunity to network, learn, share ideas, and get your questions answered—live.
September 26, 2023 | 1:00-2:30 p.m. PDT
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.
September 27, 2023 | 10:00-11:30 a.m. PDT
Explore a human-centric approach to co-creating a variety of applications using the capability of generative AI models, as well as how to deploy some of these applications into the cloud as microservices.
Speaker: Stephen Jones | Title: CUDA Architect | Company: NVIDIA
Join one of the architects of NVIDIA® CUDA® for a step-by-step walkthrough of exactly how to approach writing a GPU program: how to begin, what to think about, what to avoid, and what to watch out for. Building on the background laid down in the speaker's previous GTC talks "How GPU Computing Works" and "How CUDA Programming Works" (although there is no requirement to have seen them), we'll start from first principles to apply everything we know about parallel and GPU programming to create a CUDA application from scratch.
Level: 101/Getting Started
Topic: Accelerated Computing and Dev Tools—Programming Languages/Compilers
Industry: All Industries
Language: English
Speaker: Timothy Costa | Title: Director, HPC & Quantum Computing Product | Company: NVIDIA
Quantum computing can offer giant leaps in computational capabilities, impacting a huge range of industries, from drug discovery to portfolio optimization. Realizing these benefits requires pushing the boundaries of quantum information science now in developing algorithms, researching more capable quantum processors, and creating tightly integrated quantum-classical systems and tools. We'll review these challenges, how GPU supercomputing can help move industries toward quantum advantage, and the latest developments in software and systems for quantum-accelerated computing.
Level: Business/Executive
Topic: HPC—Quantum Computing
Industry: All Industries
Language: English
Speaker: Stephen Jones | Title: CUDA Architect | Company: NVIDIA
The CUDA platform is the foundation of the GPU computing ecosystem. Every application and framework that uses the GPU does so through its libraries, compilers, runtimes, and language—which means CUDA is growing as fast as its ecosystem is evolving. Join this engineering-focused talk, presented by one of the architects of CUDA, to learn about what's new and what's coming next for both the platform and GPU computing as a whole.
Level: Beginner Technical
Topic: Accelerated Computing and Dev Tools—Programming Languages/Compilers
Industry: All Industries
Language: English
Speaker: Bryan Catanzaro | Title: Vice President, Applied Deep Learning Research | Company: NVIDIA
Discover how generative AI helps businesses develop better products and services and deliver original content for 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. Bryan Catanzaro will provide an overview of the major developments in generative AI and what it could be capable of in the coming years. He'll also discuss technical details and use cases driving next-gen generative applications, as well as how businesses can responsibly take advantage of the technology.
This session is suitable for all technical and business levels and will point you to other relevant sessions.
Level: Beginner Technical
Topic: Conversational AI/NLP
Industry: All Industries
Language: English
Speaker: Zenodia Charpy | Title: Senior Deep Learning Data Scientist | Company: NVIDIA
Explore a human-centric approach to co-creating a variety of applications using generative AI models. We’ll start with the ability of new language models to co-author documents, co-communicate in interactive conversations, and co-generate synthetic data. Then, you’ll learn how to integrate diffusion models' image-generation capability anchored in a real-world artist's co-design and co-created image-generation process. Next, we’ll demonstrate a mixture of generative AI skillsets in an avatar, telling a story supported by applications that we discussed previously. Finally, we’ll see how to deploy some of these applications into the cloud as microservices.
Level: Beginner Technical
Topic: Graphics—AI Applications, Art
Industry: All Industries
Language: English
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