Broaden the Boundaries of Learning

Tomorrow’s leaders are tapping into enormous datasets and complex workflows to address major social and global challenges. Higher education is at the forefront, training innovators in AI, robotics, accelerated computing, and data science. NVIDIA supplies universities with the tools needed to enable expertise and discoveries in critical disciplines to further the progress of humanity.

Scale Your Infrastructure

Establish computational excellence by handling large workloads, increasing efficiency, and lowering operational costs.

Propel Innovation

Clear the path to discovery with tools that accelerate exploration, experimentation, and deployment.

Enhance Learning

Equip students with critical AI and high-performance computing (HPC) skills to further their career development.

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.

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Professors and researchers are looking for answers to the biggest questions facing each academic discipline with GPUs.

– How AI, Machine Learning Are Advancing Academic Research, the NVIDIA Blog

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.

Hear from Teaching Kit Practitioners 

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

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.

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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.

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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.

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Optimise 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 centralising applications and data, NGC optimises applications and provides students with the most updated AI and HPC software.

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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 parallelising code.

– Ashwin Srinath, research facilitator in Clemson University’s IT department

Create Your Next Breakthrough

With a valid, accredited-university email address, students, researchers and faculty are eligible for discounts on NVIDIA hardware.

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Get Started with Data Science

For a limited time, get free hands-on training from NVIDIA Deep Learning Institute with the purchase of NVIDIA TITAN RTX.

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Resources

Advance Research in Higher Education

Advance Research in Higher Education

Launch this webinar and learn how to optimise your institution’s research infrastructure with tools that enable faster computing for more insights.

Watch Webinar 
Deep Learning for Robotics

Deep Learning for Robotics

Hear Pieter Abbeel from UC Berkeley, OpenAI, and Gradescope discuss the latest in deep reinforcement learning, apprenticeship learning, and meta-learning for action.

Listen to the GTC Talk 
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.

Read Their Story 
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.

Read Their Story 
Ray Tracing Revamping Scientific Visualization

Ray Tracing Revamping Scientific Visualisation

Listen to experts from NVIDIA and Kitware discuss GPU-accelerated ray tracing in ParaView 5.7 and VTK. Built on top of NVIDIA RTX™ real-time ray-tracing technology, this novel backend to ParaView equips HPC researchers with rich data rendering, allowing crucial insights during the research process.

Watch Webinar 

Delve into the DevZone

Explore additional content within an array of NVIDIA programs for higher education and research, such as our graduate fellowships and exclusive educational discounts.

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