• Explore the New Frontier in Higher Education and Research

    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.


    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.

    Accelerate Your Workflow with NVIDIA

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      Research IT

    Extend AI & HPC to the Data Center

    The combination of GPU-powered high-performance computing (HPC) and AI is emerging as the backbone of scientific breakthroughs in areas such as chemistry, biology, physics, engineering, and computer science. NVIDIA DGX POD? provides the integrated infrastructure that can handle these large computational workloads.

    Extend AI & HPC to the Data Center

    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 DLI NVIDIA Teaching Kits. Put that expertise in practice by producing groundbreaking research.

    Boost Research

    Boost Research

    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.

    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 CUDA? and OpenACC.

    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

    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. TITAN RTX enables faster end-to-end data science workflows, with GPU-accelerated data preparation and model training.

    Optimize Applications

    Building AI models can be complex and time-consuming. NGC? provides 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.

    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.

    Do Your Life’s Work from Anywhere

    Schools, colleges, and universities are grappling with a transformative phenomenon: continuing instruction in times of emergencies or extended closures. Remote teaching is an essential way to expand education to anyone, anywhere, anytime, on any connected device. Explore how the mobility and performance of NVIDIA remote solutions are helping to make that possible.

    Read E-book: Do Your Life's Work from Anywhere with NVIDIA Virtual Solutions

    Watch Webinar: Overcome Challenges of Distant Learning

    View Webpage: Work Remote with NVIDIA

    Explore Other Remote Work Resources


    Advance Research in Higher Education

    Advance Research

    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 disciples 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 five talks from GTC Digital.

    An AI Quantum Breakthrough

    An AI Quantum Breakthrough

    The University of Florida and the University of North Carolina developed the ANAKIN-ME neural network engine to produce computationally fast quantum mechanical simulations with high accuracy at very low cost.

    Speeding the Path to Fusion Energy

    Speeding the Path to Fusion Energy

    To predict and steer tokamak fusion reactions to avoid disruption and safely continue to produce power, researchers at Princeton University have developed the advanced machine learning Fusion Recurrent Neural Network (FRNN) predictive code.

    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.

    Sign up for the latest higher education and research news from NVIDIA.