High-Performance Computing

Accelerating the rate of scientific discovery.

High-performance computing (HPC) is one of the most essential tools fueling the advancement of scientific computing. From weather forecasting and energy exploration to computational fluid dynamics and life sciences, researchers are fusing traditional simulations with AI, machine learning, big data analytics, and edge computing to solve the mysteries of the world around us.

The Conference for the Era of AI and the Metaverse

Developer Conference March 20-23 | Keynote March 21

Don't miss these three upcoming HPC sessions at GTC.

Advances in Accelerated Computing for Scientific Computing

Accelerated computing is transforming the world of scientific computing, from the data center to the cloud and to the edge. NVIDIA's Ian Buck, vice president of hyperscale and HPC, will provide an in-depth overview of the latest news, innovations, and technologies that will help companies, industries, and nations reap the benefits of AI supercomputing.

An Update on the Alps Infrastructure: Opportunities for Weather and Climate Modeling

The Alps supercomputing infrastructure will be the first to deploy the new Grace Hopper Superchip, and is designed to support both simulation and AI-based workloads. Its microservices-based architecture holds much promise to support advanced workflows for extreme computing and big data problems alike. We'll give an update on Alps with recent results and outline future plans with the Grace Hopper-based extension anticipated by end of 2023.

Destination Earth and Digital Twins: A European Opportunity For HPC

Digital twins of our planet aim to deliver a view of the changing Earth with unprecedented detail and accuracy, allowing us to monitor and predict climate change and its impacts on society. They're intended to support policymakers in taking appropriate measures to better prepare for extreme events, mitigate their impacts, and help devise adaptation strategies for important aspects of society. Earth digital twins require substantial investments in digital technology, as they're based on high-resolution simulations, ingest vast amounts of diverse observations, and translate between the physical and the human system. High performance computing and extreme-scale data handling are necessary ingredients, and machine learning promises to be a major contributor to addressing the computing and data challenges so that digital twins will become affordable. We'll provide an overview of both challenges and presently drafted solutions in the context of the European Destination Earth initiative. Destination Earth needs public-private partnerships, and here our collaboration with NVIDIA offers unique opportunities for accelerating progress, therefore helping to address one of the biggest challenges our society is facing with the urgency it deserves.

The Developer Conference for the Era of AI and the Metaverse

Conference & Training September 19 - 22 | Keynote September 20

NVIDIA GTC brings together HPC developers across industries to present cutting-edge research for the era of AI.

  • Defining the Quantum-Accelerated Supercomputer

    • Timothy Costa | NVIDIA Director of HPC and Quantum Computing Product, NVIDIA

    Quantum computing has the potential to offer giant leaps in computational capabilities, impacting a huge range of industries from drug discovery to portfolio optimization. Realizing these benefits requires pushing the boundaries of quantum information science now in developing algorithms, researching more capable quantum processors, and creating tightly integrated quantum-classical systems and tools. We'll review these challenges facing quantum computing, offer insight into how GPU supercomputing can help move industries toward quantum advantage, and discuss the latest developments in software and systems for tightly integrated quantum-classical computing.

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  • Journey Toward Zero-Carbon Emissions Leveraging AI for Scientific Digital Twins

    • Dirk Van Essendelft |  General Engineer, The National Energy Technology Laboratory
    • William Epting | Researcher, The National Energy Technology Laboratory
    • Tarak Nandi | Data Scientist II, The National Energy Technology Laboratory

    We'll look at the cutting-edge physics-machine learning technology supported by Modulus and Omniverse and how NETL leverages it for their digital twin application to reach their zero-carbon emission target. With their expertise in AI and with Modulus as their AI platform, we'll also hear about their plans to extend their use cases to other problems like carbon sequestration.

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  • Accelerating a New Path to Innovation, Efficiency, and Discovery

    • Ian Buck | Vice President of Hyperscale and HPC, NVIDIA

    Accelerated computing is transforming the world of AI and computational science, from the data center to the cloud and to the edge. NVIDIA’s Ian Buck, vice president of hyperscale and HPC, will provide an in-depth overview of the latest news, innovations, and technologies that will help companies, industries, and nations reap the benefits of AI supercomputing.

    View Details >



HPC for the Age of AI and Cloud Computing

The NVIDIA Framework for High Performance Computing (HPC)

HPC 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.


AI and quantum mechanics. Mapping the Earth’s interior and weather forecasting. NVIDIA is powering the world’s fastest supercomputers and HPC systems, giving researchers the power they need to simulate and make predictions about our world.

Healthcare and Life Sciences

Discover how NVIDIA's HPC solutions are revolutionizing healthcare, from accelerating research, to enabling faster diagnoses, to powering breakthroughs in medicine.


Reservoir simulation and seismic processing. Industrial digital twins. Climate and weather simulation. Grid modernization. NVIDIA HPC  is powering a sustainable future for homes and businesses.

Public Sector

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

Scientific Computing Workloads

Simulation and modeling, the convergence of HPC and AI, and scientific visualization are applicable in a wide range of industries, from scientific research to financial modeling. These workloads allow professionals to do their life’s work in their lifetime, with the help of high-performance computing and NVIDIA GPUs.

Modeling and Simulation

Simulation and modeling are used in a variety of industries, including pharmaceuticals, finance, scientific research, and engineering, to address real-world challenges.


AI is used in HPC to run large-scale simulations in an accelerated time frame so researchers can advance their science faster.


Scientific visualization is used to analyze large-scale datasets and extract insights from simulation and modeling.

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 InfiniBand networking with In-Network Computing and advanced acceleration engines provides scalable performance, enabling complex simulations to run with greater speed and efficiency.

The engine of the modern HPC data center, NVIDIA’s 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.

Accelerated Extreme Weather Forecasting With AI

Accelerated Extreme Weather Forecasting With AI

Learn how a pioneer meteorologist is using deep learning to model 320 six-week forecasts in less than a minute.

Fusion Reaction: How AI, HPC Are Energizing Science

Fusion Reaction: How AI, HPC Are Energizing Science

Explore how a principal investigator at Lawrence Livermore used machine learning on the world’s fastest systems to catalyze the lab’s breakthrough.

Unlocking Molecular Secrets With HPC at the Edge

Unlocking Molecular Secrets With HPC at the Edge

Learn how a pioneering researcher at SLAC National Accelerator Laboratory illuminated molecular forces with a world-class instrument using AI and HPC at the edge.

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

NVIDIA Deep Learning Institute offers 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. 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 or instructor-led courses available to individuals, teams, or organizations. For university educators, course materials are available for download. A full list of courses is available in our catalog.

High Performance Computing News


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