Reach New Scientific Heights

Predicting weather. Discovering drugs. Finding new energy sources. With performance that can reach—and even exceed—petascale performance, supercomputing gives researchers the power they need to simulate and predict our world. Improving productivity and increasing the number of scientific simulations can have a profound impact on the quantity and quality of their scientific breakthroughs.

Powering the World’s Fastest Supercomputers

Today, NVIDIA GPUs power the fastest supercomputers in the U.S. and Europe. In the U.S., Oak Ridge National Labs’ Summit is the world’s smartest supercomputer, fusing high-performance computing (HPC) and artificial intelligence (AI) to deliver over 200 petaFLOPS of double-precision computing for HPC and 3 exaFLOPS of mixed-precision computing for accelerating scientific discovery.

In addition, supercomputer centers around the world are adopting the NVIDIA Ampere architecture. They’ll use it to bring science into the exascale era and simulate larger models, train and deploy deeper networks, and pioneer an emerging hybrid field of AI-assisted simulations

Hyperion Research Paper
Amped Up: HPC Centers Ride A100 GPUs to Accelerate Science

See the science at work

 

Solving Genetic Mysteries

From sustainable bioenergy to better understanding disease, Oak Ridge National Lab’s Biosciences Division counts on the Summit supercomputer, powered by NVIDIA V100 Tensor Core GPUs, to solve fundamental biological problems that were impossible before.

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Exploring Supernova Explosions

Oak Ridge National Lab’s Scientific Computing Group is using the incredible performance and memory of NVIDIA Volta GPUs to explore supernova explosions and new parts of the nuclear landscape.

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Enabling Scientific Innovation

From earthquakes and clean energy to supernovas, the DOE empowers scientists to explore their ideas on the GPU-powered Summit supercomputer at the Oak Ridge Leadership Computing Facility.

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Mapping Earth’s Interior

The Department of Geosciences at Princeton University is using Summit, powered by NVIDIA Volta GPUs, to observe and simulate seismic data, imaging the Earth's interior on a global scale.

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Creating Unlimited Energy

Princeton Plasma Physics Laboratory is using Oak Ridge National Lab's Summit supercomputer, powered by NVIDIA Volta GPUs, to simulate and predict plasma behavior for the next fusion reactor. 

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Driving More Efficient Combustion

Georgia Tech is on a quest to realize maximum combustion performance with minimal instability. Summit’s computational horsepower is the engine for driving more reliable, predictable flow models for multi-scale, multi-physics simulation.

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Explore HPC Summit On-Demand

All the HPC Summit content from different HPC communities are now available on-demand. Learn about new trends, technical innovations, and highlights of the latest breakthroughs in HPC at your fingertips at any time.

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Run GPU-Accelerated Apps

Run GPU-Accelerated Apps

From weather prediction and materials science to wind tunnel simulation and genomics, NVIDIA GPU-accelerated computing is at the heart of HPC’s most promising areas of discovery.

The NVIDIA CUDA® programming model is the platform of choice for high-performance application developers, with support for more than 700 GPU-accelerated applications—including the top 15 HPC applications developers. Many of the top HPC applications are made available as pre-configured, containerized software on NGC.

See HPC Application Performance
Explore HPC Software
Explore Containers Available in NGC

Innovation Across Scientific Domains

  • <span style=

    Weather and Climate

  • <span style=

    Computational Chemistry

  • <span style=

    Physics

Weather and Climate

Weather and Climate

Several weather and ocean modeling applications such as the Weather Research and Forecasting (WRF) model and tsunami simulations are achieving tremendous speedups, of more than 5X, that help save time and improve accuracy.

Computational Chemistry

Computational Chemistry

With NVIDIA® Tesla® GPUs, researchers can push the boundaries of discovery. A single GPU node can replace several CPU cluster nodes. Compared to CPUs, GPUs accelerate common molecular dynamics, quantum chemistry, visualization, and docking applications more than 5X faster and deliver higher simulation performance per dollar and watt—for faster, deeper, more cost-effective insights.

Physics

Physics

From fusion energy to high-energy particles, physics simulations span a wide range of applications in the HPC data center. Compared to CPUs, GPUs accelerate the top physics applications by more than 10X, enabling insights previously not possible.

DIVE DEEPER INTO HPC

Explore GTC Digital and take part in any number of the HPC-focused sessions available on demand, at any time. You can also join live webinars, training, and Connect with the Experts sessions, or view the library of research posters and contact the authors with your questions.

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Solutions to Accelerate Your Scientific Discovery

NVIDIA A100

NVIDIA A100

NVIDIA A100 Tensor Core GPU delivers unprecedented acceleration at every scale for AI, data analytics and HPC to tackle the world’s toughest computing challenges. As the engine of the NVIDIA data center platform, A100 can efficiently scale up to thousands of GPUs, or be partitioned into seven GPU instances to accelerate workloads of all sizes.

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NVIDIA DGX<sup>™</sup> A100

NVIDIA DGX™ A100

NVIDIA DGX™ A100 is the universal system for all AI workloads, offering unprecedented compute density, performance and flexibility in the world’s first 5 petaFLOPS AI system. NVIDIA DGX™ A100 features the world’s most advanced accelerator, the NVIDIA A100 Tensor Core GPU, enabling enterprises to consolidate analytics, training and inference into a unified, easy-to-deploy AI infrastructure backed by integrated access to AI-fluent experts.

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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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