Nvidia AI

Artificial intelligence is at the heart of the digital transformation that’s reinventing higher education, driving demand for new research, curriculum development, and improved administrative services. The stack is optimized for every AI model and every AI framework. From data processing to AI model training to model deployment & inferencing, our solution addresses end-to-end development of AI.

NVIDIA Offerings for Higher Education & Research

AI Center of Excellence:: POD 

The heart of the AI COE  is the NVIDIA AI Supercomputer. Being purpose-built for AI, with a pre-built, scalable and proven reference architecture, NVIDIA DGX POD becomes the ideal platform for research & experimentation.

NVIDIA DGX A100 is the foundational building block for large AI clusters such as NVIDIA DGX POD, and is the enterprise blueprint for scalable AI infrastructure; DGX POD is designed to scale to hundreds of nodes to meet the biggest challenges. The NVIDIA DGX BasePOD™ reference architecture provides the critical foundation on which business transformation is realised and AI applications are born.

DGXpert program (https://www.nvidia.com/en-in/data-center/dgxperts/): With an objective of faster start, sooner insights, continuous improvement, and seamless operations, NVIDIA’s flagship DGXpert program aims to maximize the value of the DGX systems, streamline AI workload execution by leveraging hardware, software, and access to experts. Owning an NVIDIA DGX system gets you direct access to an NVIDIA DGXpert. DGXperts are AI-fluent practitioners who have built a wealth of experience over the last decade to offer prescriptive guidance and expertise to help fast-track AI transformation.

Curriculum: DLI Teaching Kits lower the barrier of incorporating AI and GPU computing into the curriculum with downloadable teaching materials and online courses that provide the foundation for understanding and building hands-on expertise.


AI Lab powered by NVIDIA: 

A100 GPU to continue to advance our AI supercomputing platform and enable researchers to tackle the world’s most important scientific and big data challenges.

NVIDIA DGX A100 is the universal system for all AI infrastructure, from analytics to training to inference. It sets a new bar for compute density, packing 5 petaFLOPS of AI performance into a 6U form factor, replacing legacy infrastructure silos with one platform for every AI workload.

The NVIDIA Deep Learning Institute (DLI) offers resources for diverse learning needs—including self-paced and instructor-led training and special programs for educators—to help individuals and teams advance their knowledge in AI, accelerated computing, accelerated data science, graphics and simulation, and more.      


Drive Key Use Cases

Accelerate conversational AI pipeline

From Speech Recognition to Regional Language Understanding and Speech Synthesis. With NVIDIA’s conversational AI platform, developers can quickly build and deploy cutting-edge applications that deliver high-accuracy and respond in far less than 300 milliseconds—the speed for real-time interactions.

  • Large Language Models
  • Voice bots/chatbots
  • Regional languages training
  • Translation
  • Speech Recognition
  • Text to speech

NVIDIA NeMo™ – An open-source framework for developers to build and train state-of-the-art conversational AI models.

Try NVIDIA Riva’s automatic speech recognition

Healthcare and Life Sciences

Healthcare demands new computing paradigms to meet the need for personalized medicine, next-generation clinics, enhanced quality of care, and breakthroughs in biomedical research to treat disease. With NVIDIA, healthcare institutions can harness the power of artificial intelligence (AI) and high-performance computing (HPC) to define the future of medicine.


Accelerating and enhancing Robotics

 From development to simulation to deployment- From smart automation in manufacturing to last-mile delivery, robots are becoming more ubiquitous in everyday life. However, industrial and commercial robotics development can be complex, time consuming, immensely challenging, and expensive. Unstructured environments across many use cases and scenarios are also common. The NVIDIA Isaac™ robotics platform addresses these challenges with an end-to-end solution to help decrease costs, simplify development, and accelerate time to market.




Computer Vision


  • Smart Cities
  • Retail and logistics
  • Industrial and manufacturing
  • Healthcare analytics

NVIDIA Metropolis features GPU-accelerated SDKs and developer tools that help developers optimally build, deploy, and scale AI-enabled video analytics and IoT applications–from the edge to the cloud.

Ready to Get Started?

To learn more about NVIDIA AI for Education, visit: https://www.nvidia.com/en-us/industries/higher-education-research/