Profile: NVIDIA Corp (NVDA.O)
21 May 2018
Nvidia Corporation, incorporated on February 24, 1998, focuses on personal computer (PC) graphics, graphics processing unit (GPU) and also on artificial intelligence (AI). The Company provides service to its customers through PC, mobile and cloud architectures. The Company operates through two segments: GPU and Tegra Processor, which are based on a single underlying architecture. The Company's processor has created platforms that address four markets: Gaming, Professional Visualization, Datacenter, and Automotive. The Company's GPU product brands are aimed at specialized markets, including GeForce for gamers; Quadro for designers; Tesla and DGX for AI data scientists and big data researchers, and GRID for cloud-based visual computing users. The Company's Tegra brand integrates an entire computer onto a single chip, and incorporates GPUs and multi-core central processing units (CPUs) to drive supercomputing for mobile gaming and entertainment devices, as well as autonomous robots, drones and cars.
The Company's gaming platforms utilizes three-dimensional (3D) software and algorithms, including its GameWorks libraries that provide special effects for games. These enable it to deliver realism and immersion, even when playing games remotely from the cloud. Its GeForce Experience, the gaming application optimizes the PC user's settings for each title and enables players to record and share gameplay. It provides developers with a suite of software libraries called VRWorks to enable virtual reality. VRWorks allows developers to create immersive experiences by enabling physically realistic visuals, sound, touch interactions and simulated environments. Its products for the gaming market include GeForce GTX GPUs for PC gaming; the SHIELD family of tablets, portable devices for mobile gaming and television (TV) streaming, and GeForce NOW for cloud-based gaming; as well as platforms and development services for specialized console gaming devices.
The Company serves the Professional Visualization market by working with independent software vendors to optimize their offerings for its GPUs. Its GPU computing solutions enhance productivity and introduce capabilities for parts of the workflow for such industries as automotive, media and entertainment, architectural engineering, oil and gas, and medical imaging. Its Iray and DesignWorks software enables an architect designing a building with a computer-aided design package to interact with the model in real time, view it in detail, and generate photorealistic renderings for the client. They also allow an automotive designer to create a realistic 3D image of a car, which can be viewed from all angles, reducing reliance on costly, time-consuming full-scale clay models. Virtual car showrooms, surgical training, architectural walkthroughs, and bringing historical scenes to life all deploy this technology, powered by its GPUs. Visual computing is vital to productivity in many environments, including Design and Manufacturing, which includes computer-aided design, architectural design, consumer-products manufacturing, medical instrumentation and aerospace, and Digital Content Creation, which includes professional video editing and post production, special effects for films and broadcast-television graphics. Its brand for this market is Quadro for workstations.
The Company's accelerated computing platform addresses AI, in which systems learn using unstructured data, and computing, in which it speeds work toward reaching answers for narrowly defined problems. The platform consists of GPUs, its CUDA programming language, specific libraries, such as cuDNN, and inventions, such as NVLink, which enables application scalability across multiple GPUs. It is engaged with companies working on AI in a multitude of industries, from automating tasks, such as reading medical images, to surveying coral on the sea bottom, to identifying the physical world for the blind. It provides a family of GPUs designed to speed up training and inferencing of neural networks. They are available in industry standard servers from companies, such as HP, Dell and Cisco; from cloud services, such as Amazon Web Services, Alicloud, Azure and Google Cloud; as well as in its DGX AI supercomputer, a purpose-built system for learning and AI accelerated analytics. DGX comes fully integrated with hardware, deep learning software, development tools, support for existing AI frameworks, and runs popular accelerated analytics applications.
GPUs also increases the speed of applications used in such fields as aerospace, bio-science research, mechanical and fluid simulations, and energy exploration. They have already had an impact on scientific discovery, including improving heart surgery, human immunodeficiency virus (HIV) research and mapping human genome folds. Accelerated computing is recognized as the path forward for computing amid the slowing of Moore's Law. Tesla GPU accelerators power many of the world's supercomputers. They will also drive the United States Energy Department's supercomputers at Oak Ridge and Lawrence Livermore National Laboratories. It also serves the datacenter market with GRID for virtualized graphics. GRID makes it possible to run graphics-intensive applications remotely on a server in the datacenter.
The Company is working with automotive partners to enable AI pilot and co-pilot within the car. It is working with automakers, tier-one suppliers, automotive research institutions, high definition (HD) mapping companies, and startups to develop and deploy AI systems for self-driving vehicles. Its unified AI computing architecture starts with mapping and training neural networks using its Tesla GPUs, and then running them within the vehicle on the its DRIVE PX AI car computing platform. DRIVE PX can understand in real-time what's happening around the vehicle, locate itself on a high definition (HD) map, and plan a path forward. Its Tegra offering focuses in other areas, such as robots that responds to voice and gesture commands; drones that process enormous amounts of visual-based data; and Android monitors. Its platform for embedded use, Jetson TX1, provides the performance needed for deep learning.
The Company competes with Advanced Micro Devices, ARM Holdings plc, Imagination Technologies Group plc, Intel Corporation, Xilinx, Inc., Ambarella, Inc., Apple, Inc., Broadcom Ltd., Mobileye N.V., Qualcomm Incorporated, Renesas Electronics Corporation, Samsung and Texas Instruments Incorporated.
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