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HIGH PERFORMANCE COMPUTING

High performance computing (HPC) is one of the most essential tools fueling the advancement of a diverse range of scientific disciplines. The universe of scientific computing is expanding in all directions.

From weather forecasting to new clean energy sources, the physics of black holes or proteins never seen in nature before, researchers are fusing traditional simulations with fueled by unprecedented FP32 or FP64 compute performance, artificial intelligence, machine learning, deep learning, big data analytics, edge-computing, and sophisticated networking to solve the mysteries of the world around us.

HPC Across Industries

Over 700 applications across a broad range of industries and scientific domains are optimized for NVIDIA RTX™ and data center GPUs. See how GPU technology is tackling previously inaccessible 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 server-based or desktop HPC systems, giving researchers the performance they need to simulate and predict our world.

Healthcare and Life Sciences

Discovering drugs. Uncovering genetic mutations. Analyzing images. NVIDIA is equipping the world’s leading healthcare and life sciences institutions with advanced tools to develop new treatments, build next-generation clinics and enable healthcare providers to improve patient care.

Energy

Decarbonizing the exploration, production, and transportation of oil and gas through accelerated reservoir simulation and seismic processing. Advancing research and development in carbon capture and sequestration and low-carbon fuels. Modeling climate and weather for renewable energy prediction and natural disaster planning. Automating operations to reduce unplanned downtime and protect worker health and safety with industrial digital twins. Enhancing power grid resiliency and reliability using edge AI to manage distributed energy resources from solar grids to wind farms to electric vehicles to home batteries. NVIDIA technologies are accelerating the energy transition, enhancing energy efficiency from data center operations, and enabling a more sustainable future.

Public Sector

Advancing economic growth, protecting public health and enhancing and expanding public services are all areas where AI and HPC are integral in future-proofing the state of nations. NVIDIA solutions are at the forefront of helping governments implement AI strategies, adopt intelligent solutions, fully harness data science, and utilize autonomous systems to advance their public missions. With AI-powered solutions from NVIDIA, you can be sure of a safer, and more connected future.

HPC Workloads

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

Modeling and Simulation

GPUs speed up simulation workloads by parallelizing parts of the code that are compute intensive. This enables researchers, scientists, and engineers across scientific domains to run their simulations in a fraction of the time and make discoveries faster. Researchers are using GPUs to run their large-scale simulations faster, gain deeper insights sooner, and publish their findings quicker. Engineering disciplines, geosciences, and manufacturing companies are modeling complex designs on GPU-powered systems to analyze their work. Financial organizations are making real-time decisions by extracting insights from massive datasets using NVIDIA GPUs for workstations and datacenters.

HPC and AI

Accelerated computing is helping researchers realize scientific breakthroughs faster. Researchers are quickly realizing that AI can help them produce high-accuracy results that are on par with scientific simulations in a much shorter time frame. This has fueled the adoption of AI in HPC. Researchers are enhancing their HPC simulations with AI to achieve faster and better results for various scientific workloads. Engineers are using AI to evaluate a variety of designs, including medical devices, manufacturing robots, and automotive components. Analysts at financial organizations are leveraging AI to identify and predict market trends, flag fraudulent transactions, and speed up online payments.

Scientific Visualization

The best way to experience HPC simulations is through visualization. GPU-accelerated scientific visualization speeds up data analysis by enabling researchers to visualize their large datasets at interactive speeds and collaborate with remote members of the team. Researchers are using scientific visualization to gather insights from large-scale HPC datasets to visualize protein folding, analyze chemical docking, understand supernovae, and more. Creative artists are converting scientific data into realistic-looking visuals, so researchers and lay audiences can have a better understanding of the scientific theories and data behind their art. Engineers use scientific visualization to analyze their designs for various use cases including robotics, manufacturing systems, and structural engineering.

NVIDIA Networking

End-to-End High-Speed Ethernet and InfiniBand Connectivity

The high-performance computing (HPC), cloud, Web 2.0, machine learning, data analytics, and storage markets are driving exponentially increasing demands for more computing power, efficiency, and scalability. To meet these needs, NVIDIA provides complete end-to-end solutions supporting InfiniBand and Ethernet networking technologies.

Bare-Metal Performance with Multi-Tenant Isolation

Cloud-native supercomputing blends the power of high performance computing with the security and ease of use of cloud computing services. The NVIDIA Cloud-Native Supercomputing platform leverages the NVIDIA® BlueField® data processing unit (DPU) architecture with high-speed, low-latency NVIDIA Quantum InfiniBand networking to deliver bare-metal performance, user management and isolation, data protection, and on-demand high-performance computing (HPC) and AI services—simply and securely.

NVIDIA Bluefield

The NVIDIA BlueField DPU combines the industry-leading NVIDIA ConnectX® network adapter, an array of Arm cores with a PCIe subsystem, and purpose-built HPC hardware acceleration engines to deliver full data center infrastructure-on-chip programmability.

InfiniBand

NVIDIA Quantum InfiniBand networking accelerates and offloads data transfers to ensure compute resources never “go hungry” due to lack of data or bandwidth. The NVIDIA Quantum InfiniBand network can be partitioned between different users or tenants, providing security and quality of service (QoS) guarantees.

DOCA

The NVIDIA DOCA SDK enables infrastructure developers to rapidly create network, storage, security, management, and AI and HPC applications and services on top of the NVIDIA BlueField DPU, leveraging industry-standard APIs. With DOCA, developers can program the supercomputing infrastructure of tomorrow by creating high-performance, software-defined, and cloud-native DPU-accelerated services..

Magnum IO

The NVIDIA MAGNUM IO™ software development kit (SDK) enables developers to optimize the input/output (IO) in applications, reducing the end-to-end time of their workflows.

Magnum IO covers all aspects of IO, including storage, networking, multi-GPU, and multi-node communications. It also includes tools to profile and tune applications and eliminate IO bottlenecks.

Data Center-Scale Performance

In order to handle the ever-growing demands for higher computational performance driven by increased scientific inquiry complexity, NVIDIA has developed the next-generation accelerated data center platform. The NVIDIA H100, implemented on NVIDIA’s unprecedented Hopper architecture, delivers next generation accelerated HPC and AI enhanced accelerated computing with unprecedented performance, scalability, and security. With the ability to easily scale diverse workloads – from small enterprise to exascale HPC and trillion-parameter AI – the NVIDIA H100 enables brilliant theoreticians and researchers to realize their life’s best work, and improve the human condition, at the fastest pace in recorded history.

By leveraging GPU-powered parallel processing, users can run advanced, large-scale HPC and AI enabled solutions efficiently, reliably, and quickly. And NVIDIA Quantum 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.

DATA CENTER GPUs FOR HPC

NVIDIA H100 PCIe

NVIDIA A100 80GB PCIe

NVIDIA A100X

NVIDIA A30

NVIDIA A30X

NVIDIA L40

DATA CENTER GPUs FOR EDGE DEPLOYMENT IN HPC SCENARIOS

Scientific instruments are being upgraded to deliver 10-100x more sensitivity and resolution over the next decade, requiring a corresponding scale-up for storage and professing. The data produced from these enhanced instruments will challenge traditional operating models solely based upon HPC in data centers. The solution is to use edge computing with high-performance compute and AI in conjunction with data center HPC.

NVIDIA A10

NVIDIA A2

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

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

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

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