Explore the New Frontier in Higher Education and Research

Bringing AI Supercomputing to Every Researcher

Accelerate higher education research with DGX Station A100.

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Broaden the Boundaries of Learning

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.

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    Research IT

Extend AI & HPC to the Data Center

The combination of GPU-powered HPC and AI is emerging as the backbone of scientific breakthroughs in areas such as chemistry, biology, physics, engineering and computer science. Solutions such as NVIDIA DGX POD or NVIDIA-Certified Systems from OEM partners, provide the integral infrastructure that can handle these large infrastructure workloads.

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Exten 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 NVIDIA Deep Learning Institute (DLI) Teaching Kits. Put that expertise in practice by producing groundbreaking research.

Hear from Teaching Kit Practitioners 
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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Take NVIDIA DGX on a Test Drive  
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, Clemson University’s IT Department

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.

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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: Remote Work Solutions for Higher Education and Research

Watch Webinar: Overcome Challenges of Distant Learning

View Webpage: Work Remote with NVIDIA

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Drug Discovery
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Medical Imaging

Medical Imaging
Genomics

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.   

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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.

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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.

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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.

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