Higher Education and Research Developer Resources
A hub of resources and news for educators and researchers.
Opportunities for Teaching and Research
Teaching Kits
NVIDIA Deep Learning Institute (DLI) Teaching Kits provide qualified educators with complete course solutions in deep learning, accelerated computing, and robotics. Bridge academic theory with real-world applications to empower next-generation innovators with critical AI skill sets.
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Certified Instructor Program
Experienced educators can get certified as Deep Learning Ambassadors and deliver hands-on DLI workshops to university faculty, students, and researchers at no cost.
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EDU Kits and Preferred Pricing
To better enable faculty, students, and researchers, NVIDIA makes state-of-the-art computing platforms accessible to academia to enable next GPU-accelerated apps, services, and algorithms.
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Studio Education Partners
The NVIDIA Studio Education Partner Program brings the latest advances in visual storytelling to the next generation of creative professionals. Prepare digital media students with technology experiences that directly translate to work in the industry.
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GPU Grants
NVIDIA partners with academic institutions of all levels to drive groundbreaking fundamental research around the world in order to help educators train the world’s next generation of innovators.
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Graduate Fellowships
PhD students are invited to submit their research projects for consideration to be part of the NVIDIA Graduate Fellowship Program.
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Jetson Community Project
Explore and learn from Jetson projects created by us and our community. These projects have been built for Jetson Nano, Jetson Xavier NX, Jetson TX2, and Jetson AGX Xavier.
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Applied Research Accelerator Program
The NVIDIA Applied Research Accelerator Program supports researchers with technical guidance, hardware, and funding for projects that can make real-world impact through deployment into GPU-accelerated applications.
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Browse by Resource Type
Accelerating AI Training with MLPerf Containers and Models from NVIDIA NGC
Deploying Real-time Object Detection Models with the NVIDIA Issac SDK and NVIDIA Transfer Learning Toolkit
Accelerating Deep Learning Research in Medical Imaging Using MONAI
Defining the Next Wave of GPU-Powered Research
Learn how a new AI computing cluster built using NVIDIA DGX-2™ systems at Oregon State University is enabling researchers to accelerate their work and publish cutting-edge advancements.
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Bringing GPU Computing to the Classroom
NVIDIA Teaching Kits lower the barrier of incorporating AI and GPU computing in coursework. Listen to NVIDIA’s higher education leadership and partners discuss opportunities for online training, certification, and cloud access to GPUs for teachers and students.
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How to Become an Ambassador for Deep Learning
Join NVIDIA’s higher education leadership and academic partners to learn how to get involved with the NVIDIA Deep Learning Institute (DLI) University Ambassador Program.
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PROGRAMS FOR YOU
Developer Resources
The NVIDIA Developer Program provides the advanced tools and training needed to successfully build applications on all NVIDIA technology platforms. This includes access to hundreds of SDKs, a network of like-minded developers through our community forums, and more.
Technical Training
NVIDIA Deep Learning Institute (DLI) offers hands-on training in AI, accelerated computing, and accelerated data science to solve real-world problems. Powered by GPUs in the cloud, training is available as self-paced, online courses or live, instructor-led workshops.
Accelerate Your Startup
NVIDIA Inception—an acceleration platform for AI, data science, and HPC startups—supports over 7,000 startups worldwide with go-to-market support, expertise, and technology. Startups get access to training through the DLI, preferred pricing on hardware, and invitations to exclusive networking events.
NVIDIA Higher Education and Research News
Meet the Researcher: Marco Aldinucci, Convergence of HPC and AI to Fight Against COVID
‘Meet the Researcher’ is a series in which we spotlight different researchers in academia who use NVIDIA technologies to accelerate their work. This month we spotlight Marco Aldinucci, Full Professor at the University of Torino, Italy, whose research focuses on parallel programming models, language, and tools. Since March 2021, Marco Aldinucci has been the Director … Continued
nvCOMP v2.0.0 Now Available: With New Compressors
nvCOMP is a CUDA library that features generic compression interfaces to enable developers to use high-performance GPU compressors in their applications.
cuTENSOR v1.3.0 Now Available: Up to 2x Performance
cuTENSOR is a high-performance CUDA library for tensor primitives includes extensive mixed-precision support, arbitrary data layouts and more.
cuSPARSELt v0.1.0 Now Available: Arm and Windows Support
NVIDIA announced the availability of cuSPARSELt version 0.1.0. This software can be downloaded now free for members of the NVIDIA Developer Program.
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