Next month the world’s brightest minds in AI and accelerated computing will come together to share their knowledge and peer into the future.
Tens of thousands of technologists and developers will attend NVIDIA GTC — a free, virtual conference taking place March 21-24 — that sits at the intersection of the fastest-moving technologies of our time.
At GTC, artificial intelligence, data science and high-performance computing combine with the trillion-dollar global industries they’re reshaping.
The event features 900 sessions and 1,400 speakers representing a broad spectrum of organizations, including Amazon, Bloomberg, DeepMind, Epic Games, Google Brain, Mercedes-Benz, Microsoft, NASA, NFL, Pfizer, Visa, VMware, Walt Disney, Zoom and many more.
No matter your role or your industry, peers and professional opportunities abound.
GTC starts with a keynote from NVIDIA CEO Jensen Huang. Each GTC, Huang introduces powerful new ways to accelerate computing of all kinds.
That acceleration comes thanks to a combination of silicon with GPUs, CPUs and DPUs, accelerated software, and with increasingly powerful systems — such as NVIDIA’s DGX lineup.
All three, in turn, have enabled a string of new technologies — from deep learning to real-time graphics to the Omniverse 3D collaboration platform — that have touched every one of the world’s industries.
Expect Huang to introduce new technologies, products and collaborations with some of the world’s leading companies. The keynote will be live-streamed Tuesday, March 22, starting at 8 a.m. Pacific and available on demand afterward. Conference registration isn’t required to watch the keynote.
This GTC will focus on accelerated computing, deep learning, data science, digital twins, networking, quantum computing and computing in the data center, cloud and edge. More than 20 talks will discuss how AI can help advance climate science.
In addition to participants from NVIDIA, GTC will feature prominent technology experts including:
- Andrew Ng, founder of DeepLearning.AI, founder and CEO of Landing AI
- Bjorn Stevens, managing director and director of The Atmosphere in the Earth System, Max Planck Institute for Meteorology
- Chelsea Finn, assistant professor of computer science, Stanford University
- Hao Yang, vice president of AI Research, Visa
- Jack Jin, lead machine learning Infra engineer, Zoom
- Joe Ucuzoglu, CEO, Deloitte U.S.
- Lidia Fonseca, chief digital and technology officer, Pfizer
- Magnus Östberg, chief software officer, Mercedes-Benz AG
- Marc Petit, general manager for Unreal Engine, Epic Games
- Markus Gross, vice president of Research, Walt Disney Studios
- Michael Russinovich, CTO and Technical Fellow, Microsoft Azure
- Natalya Tatarchuk, director of global graphics, Unity
- Peter Stone, executive director, Sony AI, and professor of computer science, University of Texas, Austin
- Stefan Sicklinger, head of BigLoop and Advanced Systems, CARIAD/VW Group
- Yu Liu, director of AI, Meta
- Zoe Lofgren, member of Congress, U.S. House of Representatives
NVIDIA Inception, a global program to nurture cutting-edge startups with 9,000+ members, will host tracks aimed at helping emerging companies build and grow their businesses and gain industry knowledge.
At GTC, more than 70 Inception startups from around the world will address AI, autonomous systems, climate science, cybersecurity, healthcare, quantum computing and digital twins.
Sessions designed for venture capital firms include: “Emerging Venture Themes for 2022 – Omniverse + Metaverse” and “Emerging Venture Themes for 2022 – Quantum Computing.”
GTC also offers excellent opportunities for new and experienced developers to get training in some of the hottest areas in technology.
It starts with Learning Day on Monday, March 21, and continues all week. There will be sessions in four languages across multiple time zones.
From sessions on GPU computing to AI workshops, extensive learning and training opportunities are available for students, developers and professionals with technology talks from NVIDIA subject-matter experts and through NVIDIA’s Deep Learning Institute and the NVIDIA Academy.
Students and early-career professionals can participate in introductory deep learning and robotics courses. These include sessions like “The Right Formula for AI Success: Insights from AI High Performer” and “Deep Learning Demystified” as well as the “5 Steps for Starting a Career in AI” panel, featuring Sheila Beladinejad, president of Women in AI & Robotics, and David Ajoku, founder of Aware.ai.
More experienced developers can enroll in DLI courses. These include 20 free, short-day sessions and 17 full-day workshops. Participants can dig as deeply as they like, even after the conference ends and earn DLI certificates demonstrating subject-matter competency.
And from Feb. 21 until the end of March, new members to NVIDIA’s Developer Program can also access an additional free GTC Deep Learning Institute course when they sign up.
Developed for IT professionals, NVIDIA Academy will host certified training programs on the data center, InfiniBand, IT infrastructure and networking. The program includes instructor led-training sessions followed by self-paced coursework and proctored certification tests.
All workshops and sessions are led by trained, DLI-certified instructors, either from NVIDIA or partners and collaborators who are experts in their field.
As part of NVIDIA’s commitment to making AI accessible for all developer communities and emerging markets, numerous sessions showcase how developers and startups in emerging economies are building and scaling AI and data science.
Sessions for emerging markets include “Look to Africa to Advance Artificial Intelligence” and “Democratizing AI in Emerging Markets Through the United AI Alliance.”
NVIDIA also provides free credits for DLI courses to minority-serving institutions, from community colleges to historically Black colleges and universities.