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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.
Explore our diverse set of resources—including hands-on workshops, self-paced courses, certifications, webinars, blogs, live events, grants, and developer news.
Advance your research with world-class computing resources. Now accepting proposals for academic research projects in a variety of topic areas.
Advancing medicine and research with AI.
Experience the transformative impact of NVIDIA's technologies in academic research, including NVIDIA® Parabricks® in genomics, and discover how groundbreaking work in life sciences is unlocking the potential of computational biology.
Creating change with AI and high-performance computing (HPC).
Explore how academic researchers harness the power of NVIDIA's solutions to advance climate modeling, analyze vast datasets, and develop innovative solutions to combat climate change.
Growing a quantum-ready workforce.
Discover how quantum algorithms, simulations, and machine learning are revolutionizing computational capabilities, driven by NVIDIA's advancements in quantum computing for scientific exploration.
Accelerating the development of robotic solutions.
See how the end-to-end NVIDIA Isaac™ platform for robotics can accelerate the development process with enhanced development, simulation, and deployment.
Teaching physics to AI.
Explore NVIDIA Modulus, a neural network framework that blends the power of physics in the form of governing partial differential equations (PDEs) with data to build high-fidelity, parameterized surrogate models with near-real-time latency. Whether you’re looking to get started with AI-driven physics problems or designing digital twin models for complex non-linear, multi-physics systems, NVIDIA Modulus can support your work.
Accelerating the work of researchers.
Learn how generative AI is revolutionizing higher education by harnessing the power of algorithms to create new text, images, sounds, animations, 3D models, and even computer code. This opens up exciting possibilities for creative expression, content generation, and interdisciplinary collaborations across various academic disciplines.
Discover the components of an AI university and how you can get started.
Learn how universities are adopting AI across various academic disciplines.
In collaboration with NVIDIA, Georgia Tech’s College of Engineering has launched an AI supercomputing hub for training a new generation of students.
Oregon State University (OSU) is building a research complex with powerful NVIDIA supercomputers. It will unite faculty and students to tackle critical global challenges in climate science, clean energy, and water resources.
Image courtesy of University of Florida
GatorTronGPT, a generative language model, is being used at the University of Florida to train AI to understand clinical language.
University of Florida
The University of Washington, University of Tsukuba, Amazon, and NVIDIA are collaborating to bring essential AI skills to tech sectors in the U.S. and Japan.
“With NVIDIA AI software and supercomputing, the scientists, researchers, and engineers of the extended National Science Foundation community will have access to the world’s leading infrastructure to help America continue to lead the way in defining a generation of innovation.” – Jensen Huang
Join us at the International Supercomputing Conference 2024 (ISC High Performance 2024) to see how GPU computing, high-performance networking, machine learning, and quantum computing are transforming computer science and AI. Together, with our partners, we’ll feature exclusive sessions with industry leaders, engaging discussions, cutting-edge demos, and much more.
NVIDIA founder and CEO Jensen Huang will deliver a live keynote on June 2 at 7:00 p.m. Taiwan Time , sharing how the era of AI is driving a new industrial revolution across the globe. There’s no cost to attend the keynote in person, and it'll also be live-streamed.
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.
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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Through an exploration of their personal journeys, the panelists will reflect on "Things I Wish I Knew," offering invaluable guidance to students of all levels. From early-career challenges in AI research to the best strategies for integrating AI seamlessly into educational practices, this discussion promises to provide a roadmap for both educators and students to harness the power of AI.
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.
Check out this community engagement program that provides exclusive training, tools, and projects to students to help them build practical skills and jump-start a career in AI.
Join the free program to gain access to SDKs, technical documentation, peer and domain expert help, and information on the right hardware to tackle your biggest challenges.
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
Our interns are employees. They do real work, on real projects, side by side with some of the industry's brightest minds. Interns get hands-on with never-before-seen technologies and the latest software and hardware developments.
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