NVIDIA

Edsger W. Dijkstra

A Dutch systems scientist, programmer, software engineer, science essayist, and early pioneer in computing science. Helped shape the new discipline from both an engineering and a theoretical perspective.

DRIVE PX Parker AutoChauffeur

DRIVE PX configuration with two SoCs and two discrete GPUs for point-to-point travel.

AI City

Data captured by over 500 million cameras worldwide. AI is the key to turning this information into insight. It's transforming how we capture, inspect, and analyze data to impact everything from public safety, traffic, and parking management to law enforcement and city services.

NVIDIA TITAN Xp

Graphics card purpose-built to deliver up to 3X the performance of previous generation GPUs. Driven by NVIDIA CUDA, and harnessing the horsepower of NVIDIA Pascal architecture.

ISAAC SIM

Lets developers train and test their virtual robot using fully integrated and high-fidelity simulation environments. Once a simulation is complete, the trained system (brain) can be transferred to physical robots.

NVIDIA GeForce NOW

One day, everyone will be a gamer. NVIDIA GeForce NOW is a cloud-based service that turn Macs and everyday PCs into virtual GeForce gaming machines, opening high-end gaming and blockbuster PC titles to millions of user for the first time.

NVIDIA RTX

Ray tracing technology that brings real-time, cinematic-quality rendering to content creators and game developers.

AI Computing Model

SUPERCHARGED COMPUTING FOR THE DA VINCIS AND EINSTEINS OF OUR TIME We pioneered a supercharged form of computing loved by the most demanding computer users in the world -- scientists, designers, artists, and gamers. For them, we've built the equivalent of a time machine. Fueled by the insatiable demand for better 3D graphics, and the massive scale of the gaming market, NVIDIA has evolved the GPU into a computer brain at the exciting intersection of virtual reality, high performance computing, and artificial intelligence THE TIME FOR GPU COMPUTING HAS COME For 30 years, the dynamics of Moore's Law held true as microprocessor performance grew at 50 percent per year. But the limits of semiconductor physics mean that CPU performance now only grows by 10 percent per year. NVIDIA GPU computing has given the industry a path NVIDIA defines modern computer graphics NVIDIA DEFINES MODERN COMPUTER GRAPHICS Our invention of the GPU in 1999 made possible real-time programmable shading, which gives artists an infinite palette for expression. We've led the field of visual computing since. GEFORCE - the world's largest gaming platform GEFORCE - THE WORLD'S LARGEST GAMING PLATFORM At $100 billion, computer gaming is the world's largest entertainment industry and NVIDIA GeForce is its largest platform. GeForce® GTX GPUs and the GeForce Experience™ application transform everyday PCs into powerful gaming machines. And our GameWorks™ software allows developers to make games photorealistic and immersive. POWERING THE WORLD'S FASTEST SUPERCOMPUTERS In 2006, the creation of our CUDA programming model and Tesla GPU platform opened up the parallel-processing capabilities of the GPU to general-purpose computing. Today, GPU computing is the most pervasive, accessible, energy-efficient path forward for HPC and data centers, and powers the fastest supercomputers in the U.S. and Europe. THE ERA OF AI Three converging forces brought about the era of AI: the availability of immense stores of data, the invention of deep learning algorithms, and the intense performance of GPU computing. New internet services, like Google Assistant, have learned speech from sound. Self-driving cars use deep learning to recognize the space the car inhabits and what to avoid. In healthcare, neural networks trained with millions of medical images can find clues in MRIs that until now could only be found through invasive biopsies. AI will spur a wave of social progress unmatched since the industrial revolution. THE BRAIN OF AI CARS Autonomous vehicles will modernize the $10 trillion transportation industry. NVIDIA DRIVE™ is a scalable AI car platform that spans the entire range of autonomous driving. 225 companies around the world have adopted the platform, ranging from car companies and suppliers, to startups and research organizations. THE BRAIN OF INTELLIGENT MACHINES AND IoT Deep learning and affordable sensors have created the conditions for a Cambrian explosion of autonomous machines - IoT with AI. NVIDIA Jetson TX2, an embedded AI supercomputer, delivers 1 teraflops of performance in a credit card-sized module. Such power will enable a new wave of automation in manufacturing, drones that can inspect hazardous places, and robots that can deliver the millions of packages shipped every day. INSPIRED TO GIVE TO OUR COMMUNITIES NVIDIA's people share a strong sense of corporate responsibility. Our philanthropic giving this year exceeded $5 million. Project Inspire, which brings our people together every year to transform local communities, continues to gain momentum. This year alone, employees volunteered more than 17,000 hours and supported education programs that benefited nearly 90,000 children.

NVIDIA HGX

Standardizes the design of data centers accelerating AI in the cloud—from autonomous driving and personalized healthcare to superhuman voice recognition. This architecture features a modular design that works seamlessly in existing data centers around the world, offering hyperscale facilities a quick, simple path to AI.

Quadro GV100

The first GPU that can power ray tracing technology, powered by NVIDIA Volta.

NVIDIA DGX STATION

The world's first personal supercomputer for leading-edge AI development. Built on the same NVIDIA GPU Cloud Deep Learning Stack powering all NVIDIA DGX™ Systems.

DRIVE Xavier

The world's highest performance system-on-a-chip, delivers 30 TOPS (Tera Operations Per Second) of performance, while consuming only 30 watts of power. 15 times more energy efficient than our previous architectures.

NVIDIA nView®

Now, you can gather insights faster by working with an expanded workspace. You can also interact with more visually compelling content on larger, high-resolution displays with up to 4 GB of on-board frame buffer memory. technology lets you easily manage many windows across multiple high-resolution displays and virtual desktops with a panoramic overview of your entire workspace. You can even create profiles to save application positions across displays and desktops and re-launch them with the click of a button.

Johannes Kepler

A German mathematician, astronomer, and astrologer. He is best known for his laws of planetary motion. These works also provided one of the foundations for Isaac Newton's theory of universal gravitation.

Blaise Pascal

A French mathematician, physicist, inventor, writer and Catholic theologian. He was a child prodigy who was educated by his father, a tax collector in Rouen. His earliest work was in the natural and applied sciences where he made important contributions to the study of fluids, and clarified the concepts of pressure and vacuum. Also wrote in defense of the scientific method.

John von Neumann

A Hungarian-American mathematician, physicist, computer scientist, and polymath. He made major contributions to a number of fields, including mathematics, physics, economics, computing architecture, and statistics. Regarded as the foremost mathematician of his time and said to be "the last representative of the great mathematicians".

James Clerk Maxwell

A Scottish scientist in the field of mathematical physics. His most notable achievement was to formulate the classical theory of electromagnetic radiation, bringing together for the first time electricity, magnetism, and light as different manifestations of the same phenomenon. His equations for electromagnetism have been called the "second great unification in physics" after the first one realised by Isaac Newton.

Nikola Tesla

A Serbian-American inventor, electrical engineer, mechanical engineer, physicist, and futurist who is best known for his contributions to the design of the modern alternating current (AC) electricity supply system.

ISAAC SOFTWARE DEVELOPMENT KIT (SDK)

A comprehensive set of tools and libraries to accelerate AI for robots. This makes it easy to add AI for perception, navigation, and manipulation, and provides a framework for managing communications and transferring data within the robot architecture.

Jetson TX1 Developer Kit

A full-featured development platform for AI computing designed to get you up and running fast. It comes pre-flashed with a Linux environment, includes support for many common APIs, and is supported by NVIDIA's complete development tool chain.

NVIDIA TensorRT

A high-performance deep learning inference optimizer that delivers low latency and high-throughput for deep learning inference applications. Optimizes neural network models, calibrates for lower precision with high accuracy, and deploys the models to hyperscale data centers, embedded, or automotive product platforms.

NVIDIA INDEX FOR PARAVIEW PLUG-IN

A leading volume visualization tool for HPC that helps to meet this challenge. It takes advantage of the GPU's computational horsepower to deliver real-time performance on large datasets by distributing visualization workloads across a GPU-accelerated cluster. Now, IndeX is integrated in ParaView—one of the most popular visualization tools in HPC. This means that users have access to IndeX features by default with the latest ParaView version, so they can experience real-time interactivity with their existing volume visualization workflows.

Graphic Processing Unit (GPU)

A programmable logic chip (processor) specialized for display functions. The GPU renders images, animations and video for the computer's screen. GPUs are located on plug-in cards, in a chipset on the motherboard or in the same chip as the CPU. Our invention of the GPU in 1999 made real-time programmable shading possible, giving artists an infinite palette for expression. This year, the introduction of NVIDIA RTX ray tracing technology fulfilled another vision of computer scientists, paving the way to new levels of art and realism in real-time graphics. We've led the field of visual computing for decades.

Ray Tracing

A rendering technique for generating an image by tracing the path of light as pixels in an image plane and simulating the effects of its encounters with virtual objects.

George Boole

A self-taught English mathematician, philosopher and logician, most of whose short career was spent as the first professor of mathematics at Queen's College, Cork in Ireland. He worked in the fields of differential equations and algebraic logic, and is best known as the author of The Laws of Thought (1854) which contains Boolean algebra. Boolean logic is credited with laying the foundations for the information age.

NVIDIA Platforms

AI and Deep learning Data Center NVIDIA GPU Cloud Design and Pro Visulalization Autonomous Machines Self-Driving Cars GEForce Gaming Shield Technologies

Jetson TX1 Module

AI supercomputer that features NVIDIA Maxwell™ architecture, 256 NVIDIA CUDA® cores, 64-bit CPUs, and a power-efficient design. Includes the latest technology for deep learning, computer vision, GPU computing, and graphics.

Jetson TX2 Module

An AI supercomputer on a module, powered by NVIDIA Pascal™ architecture. Ideal for intelligent edge devices like robots, drones, smart cameras, and portable medical devices. Supports all the features of the Jetson TX1 module while enabling bigger, more complex deep neural networks.

Ivan Sutherland

An American computer scientist and Internet pioneer, widely regarded as the "father of computer graphics. His early work in computer graphics as well as his teaching with David C. Evans in that subject at the University of Utah in the 1970s was pioneering in the field. Sutherland, Evans, and his students from that era invented several foundations of modern computer graphics.

Grace Hopper

An American computer scientist and United States Navy rear admiral. One of the first programmers of the Harvard Mark I computer, she was a pioneer of computer programming who invented one of the first compiler related tools. She popularized the idea of machine-independent programming languages, which led to the development of COBOL, an early high-level programming language still in use today.

Donald Knuth

An American computer scientist, mathematician, and professor emeritus at Stanford University. He contributed to the development of the rigorous analysis of the computational complexity of algorithms and systematized formal mathematical techniques for it. I

Margaret Hamilton

An American computer scientist, systems engineer, and business owner. Director of the Software Engineering Division of the MIT Instrumentation Laboratory, which developed on-board flight software for the Apollo space program.

Alan Turing

An English computer scientist, mathematician, logician, cryptanalyst, philosopher, and theoretical biologist. Highly influential in the development of theoretical computer science, providing a formalisation of the concepts of algorithm and computation with the Turing machine, which can be considered a model of a general purpose computer. Widely considered to be the father of theoretical computer science and artificial intelligence.

Alessandro Volta

An Italian physicist, chemist, and a pioneer of electricity and power, who is credited as the inventor of the electrical battery and the discoverer of methane.

Enrico Fermi

An Italian-American physicist and the creator of the world's first nuclear reactor, the Chicago Pile-1. He has been called the "architect of the nuclear age" and the "architect of the atomic bomb". He was one of the very few physicists in history to excel both theoretically and experimentally.

"I AM AI" DOCUSERIES

An original docuseries exploring the world's greatest AI achievements and the people who are making them happen.

Artificial Intelligence

Artificial intelligence is the use of computers to simulate human intelligence. AI amplifies our cognitive abilities - letting us solve problems where the complexity is too great, the information is incomplete, or the details are too subtle and require expert training. Learning from data - a computer's version of life experience - is how AI evolves. GPU computing powers the computation required for deep neural networks to learn to recognize patterns from massive amounts of data. This new, supercharged mode of computing sparked the AI era.

NVIDIA GRID

Brings the power of NVIDIA GPUs to virtual desktops, applications, and workstations. Offers an immersive, high-quality user experience for everyone, from office workers to mobile professionals to designers.

CUDA

CUDA® is a parallel computing platform and programming model developed by NVIDIA for general computing on graphical processing units (GPUs). With CUDA, developers are able to dramatically speed up computing applications by harnessing the power of GPUs. In GPU-accelerated applications, the sequential part of the workload runs on the CPU - which is optimized for single-threaded performance - while the compute intensive portion of the application runs on thousands of GPU cores in parallel. When using CUDA, developers program in popular languages such as C, C++, Fortran, Python and MATLAB and express parallelism through extensions in the form of a few basic keywords. NVIDIA has been developing the CUDA programming model for over a decade. Today, it's the platform of choice for high-performance application developers, with support for more than 500 applications - including the top 15 HPC applications. From weather prediction and materials science to wind tunnel simulation and genomics, NVIDIA GPU computing is at the hear of HPC's most promising areas of discovery.

NVIDIA DRIVE™

Combines deep learning, sensor fusion, and surround vision that enables automakers, suppliers, and startups to accelerated production of automated or autonomous vehicles. It is capable of understanding in real-time what's happening around the vehicle, precisely locating itself on an HD map, and planning a safe path forward.

SENSOR FUSION

Combining sensory data or data derived from disparate sources such that the resulting information has less uncertainty than would be possible when these sources were used individually. NVIDIA DRIVE systems can fuse data from multiple cameras, as well as lidar, radar, and ultrasonic sensors. This allows algorithms to accurately understand the full 360-degree environment around the car to produce a robust representation, including static and dynamic objects.

DRIVE PX Parker AutoCruise

Designed to handle functions including highway automated driving, as well as HD mapping.

END-TO-END HD MAPPING

Designed to help automakers, map companies, and startups rapidly create HD maps and keep them updated. Uses an NVIDIA AI supercomputer in the car, coupled with NVIDIA Tesla GPUs in the data center, to create highly detailed maps.

Jetson Quick Start Platforms

Developed by companies in the Jetson ecosystem, as "ready-to-code" kits. Developers can use these hardware platforms to jump start AI application development, minimizing time spent on initial hardware assembly. These platforms offer flexibility for adding additional sensors and come with software tools and APIs for developing AI enabled applications.

NVIDIA DRIVE IX software development kit (SDK)

Enables AI assistants for both drivers and passengers, using sensors inside and outside the car. DRIVE IX leverages data from the microphone and cameras to track the environment around the driver. Even when the car isn't driving itself, it is looking out for you.

Supercharged Law

For 30 years, the dynamics of Moore's law held true. But CPU performance scaling has slowed. GPU computing is defining a new, supercharged law. It starts with a highly specialized parallel processor called the GPU and continues through system design, system software, algorithms, and optimized applications. The world is jumping on board - today, there are some 800,000 GPU developers.

NVIDIA QUADRO vDWS

From stunning industrial design to advanced special effects to complex scientific visualization, Quadro is the world's preeminent visual computing platform. And with NVIDIA Quadro Virtual Data Center Workstation (Quadro vDWS) software, you can now deliver the most powerful virtual workstation from the data center or cloud to any device, anywhere. The potential is unlimited. Millions of creative and technical professionals can access the most demanding applications from any device, work from anywhere, tackle larger datasets, all while meeting the need for greater security. Quadro vDWS eliminates serialized workflows that inhibit agility while enabling collaboration in real time. All files and designs remain in the data center, greatly improving your organization's overall security. IT can virtualize any application from the data center with an amazing user experience—including ESRI ArcGIS Pro, Siemens NX, Dassault Systèmes SOLIDWORKS, Autodesk and more, allowing you to deliver workstation-class performance on any device. With NVIDIA Quadro vDWS powering your virtual desktop environment, you have the industry-leading capabilities of GPU-acceleration available on every device in your organization. Deliver a full Quadro experience from the data center or cloud. Gain peace of mind with certified application compatibility. Enable secure, work-from-anywhere work styles. Dramatically lower IT OPEX and focus on managing the user instead of managing PCs and workstations. Enable business agility and stand up a new virtual workstation in as little as ten minutes

GPU Technology Conference (GTC)

GTC is ground zero of the GPU computing movement. This year's flagship even was a four-day gathering of 8,300 registered attendees who were offered more than 600 technical sessions. Three hundred reporters and analysts experienced first-hand NVIDIA's lineup of announcements. Now a global tour, GTCs are held around the world, from Washington to Munish to Tokyo.

GeForce Experience

GeForce Experience is the perfect way to make sure your rig is always Game Ready. You'll automatically get drivers optimized for each newly released title. Just click and install. GeForce Experience also analyzes your gaming rig and automatically customizes settings for the best gaming experience. Plus, you can share your greatest gaming moments with friends using the new overlay. When you join the community, you'll even get access to great giveaways—from game codes to graphics cards.

MATERIAL DEFINITION LANGUAGE

HE NVIDIA MATERIAL DEFINITION LANGUAGE (MDL) gives you the freedom to share physically based materials and lights between supporting applications. For example, create an MDL material in an application like Allegorithmic Substance Designer, save it to your library, then use it in NVIDIA® Iray® or Chaos Group's V-Ray, or any other supporting application. Build a library of MDL materials once and be confident they'll maintain their appearance as they move into all the applications in the workflow. It's an easy way to save significant time and effort. Unlike a shading language that produces programs for a particular renderer, MDL materials define the behavior of light at a high level. Different renderers and tools interpret the light behavior and create the best possible image, whether it's an OpenGL-based application or physically based renderer like Iray. An MDL Advisory Board, consisting of partners developing applications with MDL guides and manages the development of the MDL specification. The NVIDIA vMaterial Library using MDL makes it easy to get started designing with a set of real-world materials. Use the vMaterials as they are or modify and layer them to create the look that's needed within the applications. Easily export the modified materials and move them to other supporting applications with just a few clicks. NVIDIA and Chaos Group use the Material Definition Language to deliver extremely similar results across rendering applications. This enables users to seamlessly transition from OpenGL to fast ray tracing to full global illumination without any scene adjustments. Complex materials defined in MDL can be shared between renderers like Iray or Mental Ray, shown in this custom definition for a custom cloth material. Material definitions are constructed from physically based elements and functions that are easily layered to achieve a rich continuum of materials without the need to program or compile. Output from leading measurement devices, like those from X-Rite can also be used as elements and customized with layers and functions to greatly extend their usage range.

DRIVE Pegasus

High-performance AI computer with 320 TOPS (Tera Operations Per Second) of deep learning calculations and the ability to run numerous deep neural networks at the same time. No steering wheel or pedals required. Pegasus will be available to NVIDIA automotive partners mid 2018.

Jetson TX2 Developer Kit

Highlights the hardware capabilities and interfaces of the Jetson TX2 board, comes with design guides and documentation, and is pre-flashed with a Linux development environment. It also supports the NVIDIA Jetpack SDK, which includes the BSP, libraries for deep learning, computer vision, GPU computing, multimedia processing, and more.

Ada Lovelace

Mathematician and writer, known for her work on the mechanical general-purpose computer, the Analytical Engine. Published the first algorithm intended to be carried out by such a machine.

NVIDIA TITAN V

Most powerful graphics card created for the desktop PC, driven by NVIDIA Volta. Has the power of 12 GB HBM2 memory and 640 Tensor Cores, delivering 110 TeraFLOPS of performance. Plus, it features Volta-optimized NVIDIA CUDA for maximum results.

NVIDIA's work in Self-Driving Cars

NVIDIA AI platforms deliver a powerful cloud-to-car solution, from NVIDIA DGX™ systems for training deep neural networks in the data center to NVIDIA DRIVE™ solutions that enables real-time, low-latency inferencing in the car for safer driving. NVIDIA also partners with leading automakers like Toyota, Mercedes-Benz, Audi, VW, and Tesla to revolutionize how people drive—and empower vehicles to drive themselves.

Powering Nobel Prize Winners

NVIDIA GPU computing played a role in two Nobel Prize-winning discoveries in 2017. The prize for physics was awarded to a team of scientists who detected gravitational waves for the first time in human history. And the prize of chemistry was awarded for work in cryogenic electron microscopy, which allows scientists to see detailed protein structures at the atomic level.

GEFORCE® GTX 10 SERIES

NVIDIA GeForce® GTX is the ultimate PC gaming experience. Truly game-changing performance. Innovative gaming technologies. Seamless, cinematic experiences in 4K, HDR, and beyond. Even immersive, next-gen VR. This is gaming perfected. https://www.youtube.com/watch?v=q3I_ORjR35Y

NVIDIA HOLODECK

NVIDIA Holodeck empowers designers, peers, and stakeholders to collaborate in a 3D virtual environment. By removing geographical barriers, remote teams can more easily conduct product reviews and gain immediate visual, voice, and gestural feedback from participants. Development timelines are shortened by viewing photorealistic 3D models from CAD data while reducing physical prototype iterations. See how NVIDIA Holodeck will remove barriers, speed up, and improve your entire creative process.

NVIDIA Shield

NVIDIA SHIELD is the most advanced living room streamer on the planet, built for the Google-connected lifestyle. Get the smoothest 4K HDR video, plus the power and convenience to control your entertainment—and your smart home—with just your voice. You can even enjoy NVIDIA-powered gaming on demand from the cloud, or cast from your PC to your TV.

DEEP LEARNING FOR HEALTHCARE

NVIDIA is democratizing deep learning by providing an end-to-end AI computing platform designed for the healthcare community. GPU-accelerated deep learning solutions can be used to design more sophisticated neural networks for healthcare and medical research applications—from real-time pathology assessment to point-of-care interventions to predictive analytics for clinical decision-making.

NVIDIA® NVS™

NVIDIA® NVS™ graphics boards deliver everything you need to drive any kind of multi-display installation for your business. Whether you need multiple displays on the desktop or are looking to deploy a spectacular wall display for digital signage, NVS products have the features and capabilities to meet all your needs. Our latest addition to the product family—the NVS 810—is the first of its kind to offer eight display outputs in a single slot form factor. Ideal for dense, cost-effective signage solutions, it also delivers the exceptional performance and reliability required for deploying demanding content in mission-critical environments. NVS boards give you incredible flexibility, regardless of display connectivity and chassis size. Drive all your DisplayPort, DVI, and VGA displays with this proven combination of hardware and software.

What is NVIDIA doing in AI?

Preventing disease. Building smart cities. Revolutionizing analytics. Deep learning was only a theory until teams around the world started using NVIDIA GPUs. Today, it's empowering organizations to transform moonshots into real results.

NVIDIA GPU CLOUD (NGC)

Provides researchers and data scientists with simple access to a comprehensive catalog of GPU-optimized software tools for deep learning and high performance computing that take full advantage of NVIDIA GPUs.

NVIDIA RTX

Real-time ray tracing has been the dream of computer scientists since it was first described nearly 40 years ago. NVIDIA RTX technology - a platform for real-time ray tracing - has brought it to life. Coupled with the Quadro GV100, RTX is the greatest advance in computer graphics of the past 15 years, since our introduction of the programmable shader. NVIDIA has reinvented computer graphics, again.

Partner Innovation with Self-Driving Cars

Revolutionizing transportation takes teamwork. Lots of teamwork. That's why we work with over 370 of the world's most forward-looking automakers, tier-1 suppliers, developers, and researchers. Together, we're integrating GPU technology and AI to transform deep learning, natural language processing, and gesture control technologies that will change how people drive—and empower vehicles to drive themselves.

The Era of AI

The PC revolution put a computer in every home. The mobile era put a computer in every pocket. The cloud turned every mobile device into a supercomputer. The AI era will infuse intelligence into trillions of computing devices and be the single largest opportunity the industry has ever known. AI will spur a wave of social progress unmatched since the industrial revolution. NVIDIA is advancing GPU computing for deep learning and AI at the speed of light. We create the entire stack. It starts with the most advanced GPUs and the systems and software we build on top of them. We integrate and optimize every deep learning framework. We work with the major systems companies and every major cloud service provider to make GPUs available in data centers and in the cloud. And we create computers and software to bring AI to the edge, from self-driving cars to autonomous robots to medical devices.

NVIDIA DGX-2

The first 2 petaFLOPS system that combines 16 fully interconnected GPUs for 10X the deep learning performance. Powered by NVIDIA® DGX™ software and a scalable architecture built on NVIDIA NVSwitch.

NVSWITCH

The first on-node switch architecture to support 16 fully-connected GPUs in a single server node and drive simultaneous communication between all eight GPU pairs at an incredible 300 GB/s each. These 16 GPUs can be used as a single large-scale accelerator with 0.5 Terabytes of unified memory space and 2 petaFLOPS of deep learning compute power.

NVIDIA PASCAL ARCHITECTURE

The most powerful compute architecture ever built inside a GPU. Transforms a computer into a supercomputer that delivers unprecedented performance, including over 5 teraflops of double precision performance for HPC workloads. The first architecture to integrate the revolutionary NVIDIA NVLink™ high-speed bidirectional interconnect. Designed to scale applications across multiple GPUs, delivering a 5X acceleration in interconnect bandwidth compared to today's best-in-class solution.

High-performance computing (HPC)

The use of parallel processing for running advanced application programs efficiently, reliably and quickly. The term applies especially to systems that function above a teraflop or 1012 floating-point operations per second.

NVIDIA QUADRO

The world's preeminent visual computing platform. Trusted by millions of creative and technical professionals to accelerate their workflows, only Quadro has the most advanced ecosystem of hardware, software and tools to transform the disruptive challenges of today into business successes of tomorrow. Quadro has long been the de facto standard for enterprise desktop graphics for digital designers and artists. With a range of performance, capabilities and price points, there is a right Quadro to go with the desktop workstation of your choice. Quadro brings desktop-class performance to mobile workstations to enable incredibly powerful, thin and light form factors. Enjoy the ultimate creative freedom - tackle complex datasets with ease, render photorealistic images interactively and develop life-like VR experiences on-the-go. Quadro Virtual Data Center Workstation (Quadro vDWS) provides creative and technical professionals with access from anywhere, and on any device while ensuring the proven performance of traditional Quadro solutions. Virtualized from the data center, the Quadro vDWS delivers a secure, immersive, agile workspace and supports the most demanding professional design and engineering applications. Tap into the power of Quadro within innovative solutions that go beyond traditional desktop and mobile form factors. Tablets, backpacks and mini workstations with Quadro under the hood are ideal for professionals who desire full-size workstation performance and application compatibility in purpose-built solutions.

NVIDIA VOLTA

The worlds most powerful GPU computing architecture, built to drive the next wave of AI and HPC. . At GTC 2018, we supercharged the NVIDIA AI platform with the announcement of the "double-size" 32 GB Volta GPU.

NVIDIA GameWorks

Today's blockbuster games are essentially big budget Hollywood films - artists work on titles for years, production value is a point of competition, and expectations are high. NVIDIA GPUs are the engines that make these games possible. NVIDIA GameWorks software allows developers to make games more photorealistic and immersive. And NVIDIA Ansel allows gamers to caputure stunding in-game photography.

Autonomous Vehicle Industries

Today's robots can do more than just perform tasks. They can learn, adapt, and evolve using capabilities like machine learning, computer vision, navigation, and more. NVIDIA® Jetson™ uses the power of deep learning to drive this exciting new era of smart embedded robotics—from manufacturing and agriculture to security and home-based healthcare Today's drones and unmanned aerial vehicles (UAVs) are smarter than ever before, using the power of deep learning algorithms to understand and react to the world around them. These autonomous machines are driving exciting new capabilities—from streamlining warehouses and inspecting lengths of hard-to-access power lines in real time to aiding in search and rescue operations in difficult terrain. NVIDIA® Jetson™ is the platform that makes it possible. https://www.youtube.com/watch?v=7aWVkbAemBg .Ready to transform everyday video into valuable insight and decision making? The NVIDIA Metropolis platform makes it easy to create robust security and surveillance solutions through deep learning. It's all powered by proven NVIDIA technology—from NVIDIA® Tesla® in the data center and the cloud to NVIDIA Jetson™ at the edge.

NVIDIA TESLA

Used to accelerate the most demanding HPC and hyperscale data center workloads. Deliver the horsepower needed to run bigger simulations faster than ever before. Delivers the highest performance and user density for virtual desktops, applications, and workstations.

OPEN SOURCE PLUG-IN

Users can customize the application to fit their needs. Can be compiled as any other standard ParaView plugin without any need for special tools and compilers.

VIRTUAL REALITY

Virtual Reality (VR) is set to change the way we enjoy entertainment, interact with friends, and get our jobs done. As the leader in visual computing, NVIDIA is at the forefront of this exciting new computing platform. From gaming to product design to cinematic experiences and beyond, NVIDIA delivers groundbreaking solutions for VR—including industry-leading Pascal GPUs, drivers, and SDKs—to meet the needs of professionals, gamers, and developers.