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High-Performance Computing

Accelerating the Rate of Scientific Discovery

Powering Human Ingenuity to Counter COVID-19

Join the Fight

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.

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.

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eBook

HPC for the Age of AI and Cloud Computing

The NVIDIA Framework for High Performance Computing (HPC)

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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.

Supercomputing

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.

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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.

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Energy

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.

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Public Sector

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

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HPC 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.

Simulation and Modeling

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

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HPC and AI

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

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Scientific Visualization

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

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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.

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.

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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.

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Enabling Scientific Research for HPC Developers

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

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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.

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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.

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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.

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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.

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