Accelerate Discovery in Higher Education and Research

Explore New Frontiers in Academia

Higher education is at the frontlines of major global challenges, training innovators in AI, accelerated computing, and data science. 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.

The Developer Conference for the Era of AI and the Metaverse

Conference & Training September 19 - 22 | Keynote September 20

Join the leading technology conference for the era of AI to discover how research is changing, curriculum is evolving, and career paths are opening up. 

  • The AI Journey from Academics to Entrepreneurship

    • Sanja Fidler, Vice President, AI Research, NVIDIA
    • Matthias Nießner, Professor, Technical University of Munich
    • Raquel Urtasun, Founder and CEO, Waabi
    • Jure Leskovec, Professor at Stanford University

    Hear from renowned academics who used their research skills to develop products for real-world use cases and became successful entrepreneurs. Learn about their challenges in bridging the gap between academic research and real-world products as they share their approaches to integrating their research into commercial products.

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  • How to be a Deep Learning Engineer

    • Jose Alvarez, Senior Research Manager and Principal Scientist, Deep Learning and Computer Vision, NVIDIA
    • Maying Shen, Senior Deep Learning Research Engineer, NVIDIA
    • Ke Chen, Senior Deep Learning Scientist, Autonomous Vehicles, NVIDIA
    • Andrew Russell, Principal Software Engineer, NVIDIA
    • Louis Stewart, Head of Strategic Initiatives, Developer Ecosystem, NVIDIA (moderator)

    Deep learning has led to many recent breakthroughs in AI, but a topic not covered often is “how to get started.” Join a panel of NVIDIA professionals discussing the art of deep learning, a day in the life of a deep learning engineer at NVIDIA, and exclusive tips on staying ahead in the craft.

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  • 5 Paths to a Career in AI

    • Dr. Chelsea Sumner, NALA Healthcare AI Startups Lead, NVIDIA
    • Jay Lee, Professor, University of Cincinnati
    • Carrie Gotch, Creator and Content Strategy 3D/AR, Adobe
    • Laura Leal-Taixe, Professor, Technical University Munich
    • Justin Taylor, Vice President, Artificial Intelligence, Lockheed Martin
    • Louis Stewart, Head of Strategic Initiatives, Developer Ecosystem, NVIDIA (moderator)

    Learn how AI impacts nearly every industry across the globe, creating a plethora of career opportunities. Encourage your students to explore the diverse landscape by asking them to join this panel of experts who specialize in five different AI industries. Each will share their unique and individual paths that got them there.

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M&E Luminaries at GTC22
Image Courtesy of Industrial Light & Magic

Scale Your Infrastructure

Handle large workloads, increase efficiency, and lower operational costs with centralized infrastructure and computational excellence.

Propel Innovation

Clear the path to discovery with tools that accelerate exploration, experimentation, and deployment. With GPU-accelerated AI and high-performance computing (HPC), researchers can leverage modeling, simulation, and experimental data to tackle the biggest challenges.

Enhance Learning

Equip students with critical AI and HPC skills to further their career development. Enable educational institutions with training and infrastructure solutions to foster the next generation of research.

Advance Education and Research with NVIDIA

  • Faculty

    Faculty

  • Researchers

    Researchers

  • Students

    Students

  • Research IT

    Research IT

Build an AI-Enabled University

Build an AI-Enabled University

NVIDIA is working with leading institutions in higher education to accelerate AI leadership through advanced curriculum, research, and world-class AI infrastructure, providing students, faculty, and researchers with the tools they need to change the world.

The teaching kit presented a very well-structured way to teach GPU programming, especially given the way many of our students come from very diverse backgrounds.

– Daniel Wong, assistant professor of electrical and computer engineering, University of California, Riverside

Teach State-of-The-Art Techniques

Receive training on the latest trends in deep learning, accelerated computing, and robotics with NVIDIA Deep Learning Institute (DLI) Teaching Kits. Put that expertise into practice by producing groundbreaking research. 

Boost Research

Boost Research with Powerful Computing Infrastructure

Today’s research requires infrastructure that can handle large computational workloads to derive fast and accurate insights from vast amounts of data. The NVIDIA® DGX family of deep learning systems lowers the cost of computing infrastructure and accelerates the performance of HPC and AI applications.

Drive Innovation with the NVIDIA Applied Research Accelerator Program

The NVIDIA Applied Research Accelerator Program promotes innovation by supporting research with technical guidance, hardware, and funding for projects with the potential to make a real-world impact through deployment into GPU-accelerated applications.

Drive Innovation with the NVIDIA Applied Research Accelerator Program
The NVIDIA Hardware Grant Program

The NVIDIA Hardware Grant Program

The NVIDIA Hardware Grant Program promotes advances in artificial intelligence and data science by partnering with academic institutions around the world to enable researchers and educators with industry-leading hardware and software.

Get Hands-On Training with Latest Technology

Get Hands-On Training with Latest Technology

Get hands-on training in AI, data science, and accelerated computing to solve real-world problems. Through online courses and instructor-led workshops powered by GPUs in the cloud, students can learn the latest techniques for designing and deploying neural networks and accelerating their applications with NVIDIA's Deep Learning Institute.

Learn the AI essentials from NVIDIA

Learn the AI essentials from NVIDIA

Looking for ways to start your career as a developer or tech specialist in AI, data science, graphics, or robotics? Learn the AI essentials from NVIDIA. Check out our “getting started” resources to explore the fundamentals of today’s hottest technologies.

Speed Up Data Science Workflows

Data science is central to some of the world’s most important research. Today’s workflows need systems that allow students and researchers to iterate faster and get results sooner. NVIDIA TITAN RTX enables faster end-to-end data science workflows, with GPU-accelerated data preparation and model training.

A team of researchers at Dartmouth College’s Hassanpour Lab achieved an 80% performance increase when training a pair of neural networks on the TITAN RTX to detect osteoporotic vertebral fractures.

 – "TITAN RTX Slashes Time for Detecting Osteoporosis," NVIDIA Developer News

Optimize Applications

Building AI models can be complex and time-consuming. NGCprovides a hub of essential software for deep learning, machine learning, and HPC with pre-trained AI models, model training scripts, and industry-specific software stacks.

By centralizing applications and data, NGC optimizes applications and provides students with the most updated AI and HPC software.

By spending less time on software installs, we’re definitely able to take care of things that have more priority. We’re able to help researchers with real problems—for instance, improving workflows or parallelizing code.

NVIDIA AI Enterprise

NVIDIA AI Enterprise

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.

Create Your Next Breakthrough

We’re committed to making our technology available to everyone and preparing the future workforce for an AI-powered economy. With a valid, accredited-university email address, students, researchers, and faculty are eligible for discounts on NVIDIA hardware.

Programs

Explore how NVIDIA technology is being used in your domain.

Automotive
Drug Discovery
Data Science
Media and Entertainment
Image courtesy of Lucasfilm.
Medical Imaging
Genomics

Additional Resources

Expert-Led Webinars

Expert-Led Webinars

Hear from leading researchers and NVIDIA experts on how they’re using NVIDIA platforms to further breakthroughs in HPC, AI, machine learning, and data science in areas like robotics, autonomous vehicles, and healthcare.   

Higher Education and Research at GTC Digital

Higher Education and Research at GTC Digital

Professors, students, and researchers are utilizing artificial intelligence to develop new ways to accelerate findings. From topics like nuclear physics to radiology, catch the top talks from GTC Digital.

Dive into the Dev Zone

Dive into the Dev Zone

Explore a hub of technical resources, including webinars, blogs, and the latest developer news for educators and researchers.

Kickstart Your Data Science Journey

Kickstart Your Data Science Journey

From a series of expert-led video tutorials to how-to guides on GitHub, browse a host of resources on data science.

SIGGRAPH Sessions On Demand

SIGGRAPH 2022: Exploring Neural Graphics Research

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