The U.S. National Science Foundation has launched the National Artificial Intelligence Research Resource pilot, with NVIDIA as a major contributor. “With NVIDIA AI software and supercomputing, the scientists, researchers, and engineers of the extended National Science Foundation community will have access to the world’s leading infrastructure to help America lead the way in defining a generation of innovation.”
– Jensen Huang
Accelerated Computing for Supercomputing Workloads
NVIDIA accelerated computing drives faster time to results, saving energy, reducing costs, and total cost of ownership. Whether you are predicting weather, developing pharmaceuticals, or discovering new energy resources, NVIDIA solutions for supercomputing give researchers the power they need to simulate and predict our world.
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 validated GPU-accelerated applications—including the top 15 HPC application developers. Many of the top HPC applications are made available as pre-configured, containerized software on NGC.
Innovation Across Scientific Domains
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Weather and Climate
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Computational Chemistry
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Physics
Weather and Climate
NVIDIA Earth-2 is a full-stack, open platform that accelerates climate and weather predictions with interactive, high-resolution simulation. It includes physical simulation of numerical models like ICON and IFS; neural network models such as FourCastNet, GraphCast, and Deep Learning Weather Prediction (DLWP) through NVIDIA PhysicsNeMo; and data federation and visualization with NVIDIA Omniverse™. Running on NVIDIA DGX™ GH200 , HGX H100, and OVX supercomputers, Earth-2 will provide a path to simulate and visualize the global atmosphere at unprecedented speed and scale.
Computational Chemistry
With NVIDIA Tensor Core 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, energy-efficient, more cost-effective insights.
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.
Solutions to Accelerate Your Scientific Discovery
Accelerating Every Workload
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.
Unprecedented Compute Performance
NVIDIA Grace Hopper Superchip is the breakthrough accelerated CPU for giant-scale AI and HPC applications.
Certified To Perform
NVIDIA-Certified Systems™, comprising both NVIDIA HGX™ and EGX™ server platforms, enable enterprises to confidently deploy scalable hardware and software solutions that securely and optimally run their AI workloads.
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