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.
Handle large workloads, increase efficiency, and lower operational costs with centralized infrastructure and computational excellence.
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.
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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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
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.
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.
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.
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 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.
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.
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
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.
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.
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.
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.
Explore how NVIDIA technology is being used in your domain.
Innovations are happening every day. We’ve collected stories from leading Higher Education and Research Institutes in Europe, the Middle East and Africa who are making the most of NVIDIA solutions and stretching the boundaries of what anyone thought might be possible. Maybe we’ll tell your story next!
University of Liverpool uses deep learning models to solve research problems in biochemistry. With more processing power from NVIDIA they were able to find the first solution for the structure identification problem of molecules not in existing databases. By training specific models they could unlock abilities for a better molecular understanding.
Trees provide a multitude of services to the ecosystem.The University of Copenhagen is using deep learning models to monitor ecosystem properties, for example the number of trees, at a global scale to explore their role in mitigating climate change, environmental degradation and poverty.
Berlin University of Applied Sciences and Technology (BHT) developed a Clinical Decision Support system, which can help in clinical situations by directing doctors to related cases or certain risks, predicting a patient’s development based on data from their Electronic Health Record. Outcome prediction can also help doctors avoid overlooking possible risks, and can help hospitals to plan capacities.
Linköping University is home to the fastest supercomputer in Sweden with NVIDIA's DGX Super Pod. It delivers 300 petaflops of AI performance, powering state-of-the-art AI research and deep learning models. It's already tackling projects that aim to make leaps forward in areas like wireless communications, cybersecurity and large-scale IoT.
King’s College London accelerates synthetic brain 3D image creation using AI models. The Synthetic Brain Project is focused on building deep learning models that can synthesize artificial 3D MRI images of human brains. These models can help scientists understand what a human brain looks like across a variety of ages, genders, and diseases.
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.
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.
Explore a hub of technical resources, including webinars, blogs, and the latest developer news for educators and researchers.
From a series of expert-led video tutorials to how-to guides on GitHub, browse a host of resources on data science.
SIGGRAPH 2022: Exploring Neural Graphics Research
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