Academic institutions are at the forefront of nurturing the next generation in the emerging technologies of accelerated computing, data science, and AI. At the same time, institutions need to meet the demand for more flexible, accessible education options. From on prem to the cloud, NVIDIA supplies the tools that can propel discoveries in critical disciplines—at any time, from any location.
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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
Catch these recommended sessions on-demand.
AI is creating opportunities, making history, and turbocharging scientific breakthroughs. From record-setting DNA sequencing to the most advanced computing chips, systems, and software of the future, we're seeing true innovators develop solutions that change the world. If you're a student inspired by AI but don’t know where to begin, this is a great opportunity to learn from today’s leading experts. Join us for this GTC panel and learn about their accomplishments, challenges, and lessons learned.
The U.S. government recognizes its important role in broadening access to AI resources for workforce development with the passage of the $280B CHIPS & Science Act. The National Science Foundation is leading an effort to create a national network of AI research centers by facilitating partnerships between government agencies, academic institutions, and industry leaders. A model example of such a partnership is that of the University of Florida and NVIDIA, who in 2021 built the largest AI supercomputer in academia. This conversation with key individuals from industry, academia, and government will review how the partnership was constructed & implemented, national goals for equitable AI research & education, and how federal agencies can learn from this project to strengthen the American workforce as a whole.
Conventional microelectronics design tools employ modeling and simulation to study system performances and limitations. Over the last decade, the microelectronics design space has grown exponentially because of the enormous growth in computing architecture types and application software. Computer simulators are commonly used for microelectronics design exploration. However, complex chip simulations, utilizing these conventional simulators, take an enormous amount of time. AI-based methods for microelectronics design are gaining popularity due to reduced cost and time-to-market for chip design and fabrication. We'll discuss AI-based approaches for microelectronics design and fabrication.
Discover the components of an AI university and how you can get started.
Learn how universities are adopting AI across various academic disciplines.
Chris Downum and Leszek Pawlowicz, researchers in the Department of Anthropology at Northern Arizona University, are using GPU-based deep learning algorithms to categorize sherds—tiny fragments of ancient pottery.
University of Florida researchers are developing AI applications for agriculture. And the technology—computer vision for smart sprayers—is now being licensed and deployed in pilot tests by CCI, an agricultural equipment company.
Just as you can blur your background to hide office clutter when video conferencing, ClearBuds lets you mute background noise so your voice comes through loud and clear. Three researchers relied on an NVIDIA® TITAN™ desktop GPU to train the neural networks. They used both synthetic audio samples and real audio, and training took less than a day.
Watch NVIDIA CEO, Jensen Huang, give an exclusive look at some of our newest breakthroughs, including award-winning research, OpenUSD developments, and the latest AI-powered solutions for content creation.
Join NVIDIA researchers as they share their latest groundbreaking innovations, explore the work presented, and see how NVIDIA Research collaborates with CVPR members to deliver AI breakthroughs across the community.
Join us at NeurIPS to see how NVIDIA continues to push the boundaries of innovation in machine learning, self-driving cars, robotics, graphics, simulation and more. NVIDIA researchers will present 20 papers from November 28 to December 9.
Learn about the AI and HPC hardware, software, and networking solutions for academic institutions.
Whether creating quality customer experiences, delivering better patient outcomes, or streamlining the supply chain, enterprises need infrastructure that can deliver AI-powered insights. Find out how NVIDIA DGX™ systems deliver the world’s leading solutions for enterprise AI infrastructure at scale.
NVIDIA platforms are powering next-generation capabilities in AI, HPC, and graphics, pushing the boundaries of what’s possible. Learn how innovators everywhere can access massive computing power on demand and with ease with NVIDIA’s GPU-accelerated solutions—available through all top cloud platforms.
NVIDIA AI Enterprise is an end-to-end, cloud-native suite of AI and data analytics software that’s optimized to enable any organization to use AI. It’s certified to deploy anywhere—from the enterprise data center to the public cloud—and includes global enterprise support to keep AI projects on track.
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AI is creating opportunities, making history, and turbocharging scientific breakthroughs. From record-setting DNA sequencing to the most advanced computing chips, systems, and software, we're seeing true innovators develop solutions that change the world. If you're a student inspired by AI but don’t know where to begin, this is a great opportunity to learn from today’s leading experts.
Watch this panel discussion and begin developing your career in AI during the most important technology transformation of our time.
The NVIDIA Deep Learning Institute (DLI) offers resources for diverse education needs—from learning materials to self-paced and live training to educator programs.
NVIDIA DLI Teaching Kits lower the barrier of incorporating AI and GPU computing in coursework. They provide downloadable teaching materials and online courses that provide the foundation for understanding and building hands-on expertise in these critical areas.
The NVIDIA AI Essentials Learning Series delivers getting-started resources for exploring the fundamentals of today’s hottest technologies.
Receive technical guidance, the latest NVIDIA hardware, and funding for projects with the potential to make a real-world impact.
Advance your research project or university curriculum with access to world-class computing resources, from GPUs and DPUs to developer kits.
Apply to receive funding for your PhD research studies in accelerated computing, AI, and other related fields.
Gain access to cutting-edge technology, NVIDIA expertise, connections to venture investors, and co-marketing support to help your startup evolve faster
Connect with millions of like-minded developers, researchers, innovators, and NVIDIA technology experts.
Find answers to your questions about the NVIDIA Jetson™ platform in our open discussion forum.
Explore and learn from Jetson projects created by us and our community.
Join the NVIDIA Omniverse™ community, a global network of 3D creators and developers who are connecting and creating virtual worlds. Whether you're an expert or just getting started—take advantage of tutorials, challenges, resources, and more to guide and test your skills.
Become an NVIDIA Studio Education Partner, stay abreast of the latest innovations, set your school apart as a technology leader, and offer your students an experience that directly translates to work in the industry.
Participate in our open hackathons and bootcamps to accelerate and optimize research applications with mentors by your side
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