The NVIDIA GTC conference is back, this time at the San Jose Convention Center from March 18-21. The highly anticipated event, hosted by the AI powerhouse company and manufacturer of graphic processing units (GPUs), promises to draw 16,000 people in person and close to 300,000 online.
“GTC has become the world’s most important AI conference because the entire ecosystem is there to share knowledge and advance the state of the art,” NVIDIA Founder and CEO Jensen Huang said in a press release.
The event features IT leaders including xAI Co-Founder Igor Babuschkin, Microsoft Vice President of Generative AI Sebastian Bubeck, Stanford University’s Fei-Fei Li, Meta Vice President of AI Research Joelle Pineau, OpenAI COO Brad Lightcap, Adept AI Co-Founder and CEO David Luan, Waabi founder and CEO Raquel Urtasun, Mistral AI CEO Arthur Mensch and many others at the forefront of AI across industries. Here’s what you need to know.
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An AI Powerhouse Takes Center Stage
NVIDIA GTC will explore accelerated computing, AI, machine learning, data science and autonomous machines. Huang’s March 18 keynote will examine the future of artificial intelligence and how NVIDIA’s accelerated computing platform is driving the development of digital twins, cloud technologies and sustainable computing.
Huang bet big on AI in 2013. NVIDIA’s supercomputers, which trained ChatGPT, “spurred one of the largest single-day gains in stock-market history” in May 2023. Today, NVIDIA is one of the world’s hottest stocks, valued at more than $2 trillion, making it the third-largest public company in the world behind Microsoft and Apple.
In short, NVIDIA is powering the AI revolution.
The Importance of Accelerated Computing and Generative AI
Generative AI is leading a transformative era for enterprises, with vast potential to enhance employee experiences, improve productivity, strengthen security and drive operational efficiencies. But none of that is possible without NVIDIA’s GPUs and accelerated computing.
IT leaders will learn how to optimize large language models and generative AI applications across industries and in real-world applications. For example, retailers can use NVIDIA solutions such as NeMo and Picasso to build, train, and optimize LLM and generative AI applications for production. And in financial services, these tools are helping to refine risk assessments.
READ MORE: Why artificial intelligence requires high-performance computing.
Those giving sessions on this topic include Rama Akkiraju, vice president of enterprise AI and ML at NVIDIA; Sabry Tozin, vice president of engineering at LinkedIn; Chris Bedi, chief digital information officer at ServiceNow; Sandy Venugopal, CIO at SentinelOne; Kuniyoshi Mabuchi, partner at Deloitte; and Nikolai Larbalestier, senior vice president of enterprise architecture and performance engineering at Nasdaq.
The Big Ideas at NVIDIA GTC
This year’s conference offers more than 300 exhibitors and 900 talks, workshops and panels. Here are some of the standout topics on the agenda.
Why Data Management Is Critical to AI Success: Before implementing AI and LLM tools, businesses must prepare their data. Jill Klein, head of Internet of Things and emerging technologies at CDW, says that IT leaders must build a “solid foundation in data management” before layering in AI, ML and IoT tools. It also extends to “fostering a culture of data literacy and accountability across the organization,” she says.
DISCOVER: 3 keys to success with a generative AI platform.
An on-demand session with Rex Washburn, chief data architect at CDW, and Wendi O’Neill, senior director of data and analytics at CDW, will share the steps businesses should take to clean, manage and govern their data ecosystems.
AI Is Changing the Security Landscape: Governments around the world are grappling with how to regulate the development, deployment and use of AI. These sessions will offer guidance on how to navigate this regulatory landscape and train AI tools to enhance detection and response.
“As data volumes grow, ensuring data security and privacy becomes increasingly challenging. AI-powered cybersecurity solutions use machine learning algorithms to detect and respond to cyberthreats in real time, augmenting traditional security measures,” Klein says.
Additional experts speaking on this topic include Ned Finkle, vice president of government affairs at NVIDIA; Elham Tabassi, associate director for emerging technologies at the National Institute of Standards and Technology; and Matt Kraning, CTO of Cortex at Palo Alto Networks.
RELATED: How the modern data platform fuels success.
The History of Neural Network Architectures: On March 20, Huang will host a panel with all eight authors of the legendary 2017 paper that introduced the concept of transformers: Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin.
NVIDIA GTC will also offer a range of workshops, peer networking sessions and connection points with experts. With visionary speakers and a comprehensive program covering the essentials of AI and computing, GTC promises to be an enlightening experience for all.
Keep this page bookmarked for articles from the event and follow us on X (formerly Twitter) at @BizTechMagazine and the official conference feed, @NVIDIAGTC. The official conference hashtag is #GTC24.
