Higher Education and Research Developer Resources

A hub of resources and news for researchers, educators, and students.


Academic institutions are at the forefront of nurturing the next generation in the emerging technologies of accelerated computing, data science, and AI. To equip researchers, educators, and students in this community, NVIDIA has developed a diverse set of resources—including hardware grants, hands-on workshops, certifications, teaching materials, self-paced courses, webinars, events, and more.


Resources

We invite you to participate in a wide range of custom resources. Navigate through researchers, educators, or students tab and browse the custom program offerings, training opportunities, blogs, and webinars.



Programs

Applied Research Accelerator Program

Receive technical guidance, the latest NVIDIA hardware, and funding for projects with the potential to make a real-world impact.


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Academic Hardware Grant Program

Advance your research project or university curriculum with access to world-class computing resources, from GPUs and DPUs to developer kits.


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Graduate Fellowships

Apply to receive funding for your PhD research studies in accelerated computing, AI, and other related fields.


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Training

Self-Paced Courses

Access online courses to advance your knowledge in AI, data science, graphics, and more.


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Deep Learning Institute

Visit our one-stop shop for education and training solutions.


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Open Hackathons and Bootcamps

Accelerate and optimize research applications with mentors by your side.


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Additional Learning Opportunities

NVIDIA Research

Explore the work of NVIDIA's world-class researchers and interns, who work in areas such as AI, deep learning, parallel computing, and more.


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NVIDIA GTC

Join a global experience that brings together thousands of brilliant innovators, researchers, creators, thought leaders, and decision-makers who are shaping our world with the power of AI.


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Developer Forums

Network with like-minded developers, engage with GPU experts, and contribute to the discussions.


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Blogs


Teens develop handwriting-recognition AI for detecting Parkinson’s disease

Teens Develop AI that Can Detect Parkinson’s Disease Through Handwriting

Using NVIDIA GPUs, siblings developed a model for predicting the potential of disease. They aim to make the model widely accessible so that early detection is possible for people with limited access to clinics.

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Scientists use AI to improve sequestering carbon underground

Rock On: Scientists Use AI to Improve Sequestering Carbon Underground

A team of scientists has created a new AI-based tool to help lock up greenhouse gases like CO2 in porous rock formations faster and more precisely than ever before.

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On-Demand Sessions


Faster Neural Network Training, Algorithmically

As neural network architectures double in size every few months, it’s difficult for researchers and businesses without immense budgets to keep up. Learn one approach for managing this challenge: changing the training algorithm itself.

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Big Data in Earth Sciences: Challenges and Opportunities

Climate and earth sciences have rapidly transformed from data-poor to data-rich. Explore the various challenges involved in analyzing these massive datasets, as well as the opportunities they present for advancing both machine learning and environmental sciences.

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Quantum Simulation with Just-in-Time Compilation

A new quantum simulation framework based on just-in-time compilation technology enables developers to delegate all complicated aspects of hardware or platform implementation to the library, so they can focus on the problem and quantum algorithms at hand.

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Webinars


Advancing Scientific Discoveries with HPC and AI

HPC and AI are emerging with a new set of methods to complement conventional modeling, simulation, and data analytics, increasing the potential to solve science’s greatest challenges.

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Accelerating Research in the Earth and Space Sciences

Learn how deep learning can be applied to tasks in the earth and space sciences, including weather prediction, climate modeling, satellite observation, and space exploration.

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Programs

Teaching Kits

Eliminate the barrier of incorporating AI and GPU computing in coursework through access to the latest downloadable materials and online courses.


Request A Kit

Academic Hardware Grant Program

Advance your research project or university curriculum with access to world-class computing resources, from GPUs and DPUs to developer kits.


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DLI University Ambassador Program

Get certified to deliver hands-on NVIDIA Deep Learning Institute (DLI) workshops to university faculty, students, and researchers.


Apply Now

Deep Learning Institute

Visit our one-stop shop for education and training solutions.


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Jetson AI Ambassador Certification

Receive your certificate to teach AI in your classroom with NVIDIA® Jetson Nano™.


GET CERTIFIED

Open Hackathons and Bootcamps

Accelerate and optimize research applications with mentors by your side.


LEARN MORE

Blogs

UF Health and NVIDIA build world’s largest clinical language generator

UF Health and NVIDIA Build World’s Largest Clinical Language Generator

Researchers plan to use SynGatorTron to develop better AI for rare disease research and clinical trials, as well as to reduce dataset bias.

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Guinness World Record awarded for fastest DNA sequencing

Image credit: Steve Fisch, courtesy of Stanford University.

Guinness World Record Awarded for Fastest DNA Sequencing—Just Five Hours

The record was set by researchers from Stanford University, with collaborators from NVIDIA, Oxford Nanopore, Google, Baylor College of Medicine, and the University of California, Santa Cruz.

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On-Demand Sessions


Bringing GPU-Accelerated Computing and AI to the Classroom

See how educators, students, developers, data scientists, and researchers can get practical experience in AI, accelerated computing, and accelerated data science through the NVIDIA DLI.

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Scaling Data-Driven Robot Learning

Recent progress in robot learning has proven that robots can acquire complex visuomotor manipulation skills through trial and error. See Chelsea Finn from Stanford University give an in-depth overview on the latest discovery: how offline data can be beneficial for the algorithm.

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Big Data in Earth Sciences: Challenges and Opportunities

Climate and earth sciences have rapidly transformed from data-poor to data-rich. Explore the various challenges involved in analyzing these massive datasets, as well as the opportunities they present for advancing both machine learning and environmental sciences.

Watch Session

Webinars


Building AI-Based Simulation Capabilities in Science and Engineering Courses

Simulations are pervasive in science and engineering fields and have been recently advanced by physics-driven AI. To enable hands-on learning and research breakthroughs, it's critical for universities to equip these disciplines with accelerated simulation tools.

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NVIDIA Omniverse: A New Way to Design and Collaborate in Real Time

NVIDIA Omniverse™ Enterprise is an end-to-end collaboration and simulation platform that fundamentally transforms complex design workflows. Teams can interactively work together to create, animate, and render 2D and 3D scenes using industry-standard creative software.

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Programs

AI Essentials

Check out our “getting started” resources to explore the fundamentals of today’s hottest technologies.


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Self-Paced Courses

Access online courses to advance your knowledge in AI, data science, graphics, and more.


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Deep Learning Institute

Visit our one-stop shop for education and training solutions.


Learn More

Open Hackathons and Bootcamps

Accelerate and optimize research applications with mentors by your side.


Learn More

Jetson Specialist Certification

Showcase your skills and earn certificates to demonstrate your understanding of NVIDIA Jetson™ and AI with free, open-source courses.


GET CERTIFIED

Inception

Access free NVIDIA resources to build your startup and get to market faster.


EXPLORE THE PROGRAM

Blogs

Step-by-step guide to building a machine learning application with RAPIDS

Step-by-Step Guide to Building a Machine Learning Application with RAPIDS

Machine learning employs algorithms and statistical models that enable computer systems to find patterns in massive amounts of data. They can then use a model that recognizes those patterns to make predictions or descriptions on new data.

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Academic researchers work with NVIDIA to tackle graphics’ challenges

Top Academic Researchers Tackle Graphics’ Greatest Challenges with NVIDIA

NVIDIA’s latest collaborations in graphics research have produced a reinforcement learning model that smoothly simulates athletic moves, ultra-thin holographic glasses for VR, and real-time rendering for objects illuminated by hidden light sources.

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On-Demand Sessions


5 Steps to Starting a Career in AI

Hear from AI experts as they give you insight into their journey and discuss the most practical steps you can take when beginning a career in artificial intelligence.

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Deep Learning Demystified

Learn the fundamentals of accelerated data analytics, high-level use cases, and problem-solving methods—as well as how deep learning is transforming every industry.

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Innovative Startups Tackling Climate Change with AI

Hear how cutting-edge startups are leveraging AI to tackle climate change—from a novel way to assess carbon offsets to precision agriculture, better climate intelligence, smart energy grids, and more.

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Webinars


Developing Real-world Applications with NVIDIA Omniverse

Join developers from DigiArt Living Lab who have first-hand Omniverse experience as they share how they use Omniverse for game development, animation, and architectural design.

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Edge Computing 101: An Introduction to the Edge

Tune in to get a full edge computing introduction from the leader in AI and accelerated computing.

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