High-Performance Computing

Accelerating the Rate of Scientific Discovery

High performance computing (HPC) is one of the most essential tools fueling the advancement of computational science. And the universe of scientific computing has expanded in all directions.

From weather forecasting and energy exploration, to computational fluid dynamics and life sciences, researchers are fusing traditional simulations with artificial intelligence, machine learning, deep learning, big data analytics, and edge-computing to solve the mysteries of the world around us.

HPC Across Industries

NVIDIA GPUs are optimizing over 700 applications across a broad range of industries and domains. See how GPU technology is tackling complex problems and transforming the global research community.


Exploring supernova explosions. Mapping the Earth’s interior. Predicting hurricanes. NVIDIA is powering the world’s fastest supercomputers and HPC systems, giving researchers the power they need to simulate and predict our world.

Healthcare & Life Sciences

Discovering drugs. Uncovering genetic mutations. Analyzing images. NVIDIA is equipping the world’s leading healthcare institutions with advanced tools to accelerate precision medicine and build next-generation clinics.


Producing energy. Refining and distributing oil. Reducing environmental impact. NVIDIA technologies are impacting world economies by fueling innovation in energy and enhancing individual ways of life. 

Public Sector

Cybersecurity. Disaster response. Humanitarian assistance. NVIDIA is building the technology for our world that will make communities safer and more connected everywhere.

Data Center-Scale Performance

In order to handle the ever-growing demands for higher computational performance driven by increased scientific problem complexity, NVIDIA is creating the next-generation accelerated data center platform.

By leveraging GPU-powered parallel processing, users can run advanced, large-scale application programs efficiently, reliably, and quickly. And NVIDIA networking provides scalability across multiple compute nodes, enabling parallel and synchronized compute cycles.

The engine of the modern HPC data center, NVIDIA compute and networking technologies deliver a dramatic boost in performance and scalability, paving the way to scientific discovery.

Scientific Breakthroughs

See how developers, scientists, and researchers are utilizing the computing power of NVIDIA HPC solutions across a variety of use cases and scientific domains.

HPC breakthroughs Covid 19

Fighting COVID-19 in New Era of Scientific Computing

Simulation, AI, data analytics, and visualization come together on NVIDIA’s scientific computing platform to fight the global pandemic.

 Humans Reach the Red Planet Using GPUs and 3D Visualization

Humans Reach the Red Planet Using GPUs and 3D Visualization

Learn how researchers from NASA used GPU-accelerated NVIDIA IndeX to simulate the world’s largest interactive volume visualization.

Enabling Scientific Research for HPC Developers

Enabling Scientific Research for HPC Developers

Discover how NVIDIA helps developers tackle the complex performance challenges associated with developing HPC applications.

Featured Demos

Explore demos to dive deeper into the breakthroughs made possible by GPU technologies.

Accelerating COVID-19 Research with NVIDIA GPUs

Accelerating COVID-19 Research with GPUs

Scientists and researchers are racing against the clock to find a cure for COVID-19. GPUs can accelerate the screening of billions of drug candidates by 33X and scan over one billion compounds in 12 hours.

NVIDIA IndeX  & GPUDirect Storage

Visualizing 150 Terabytes of Data

A team of NASA scientists and engineers are using Summit, at Oak Ridge National Laboratory (ORNL), to simulate retropropulsion using NASA’s FUN3D, NVIDIA Tensor Core V100 GPUs, NVIDIA IndeX® and GPUDirect® Storage—allowing researchers to fly through the massive dataset in real-time.

Multi-Instance GPU on the NVIDIA A100 Tensor Core GPU

Boosting Performance and Utilization with Multi-Instance GPU

Multi-Instance GPU (MIG), a feature of the NVIDIA A100 Tensor Core GPU, allows multiple users to run workloads on the same GPU, maximizing per-GPU utilization and user productivity.

Hands-On Training

Get hands-on training in AI, accelerated computing, and accelerated data science. Developers, data scientists, researchers, and students can get practical experience powered by GPUs in the cloud. And IT professionals can access courses on designing and managing infrastructure to support AI, data science, and HPC workloads across their organizations.

Get started today through self-paced, online training for individuals, instructor-led workshops for teams, and downloadable course materials for university educators.

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