About NVIDIA

NVIDIA Corporation (NVIDIA) is a full-stack computing infrastructure company with data-center-scale offerings that are reshaping industry. The company’s full-stack includes the foundational CUDA programming model that runs on all NVIDIA GPUs, as well as hundreds of domain-specific software libraries, software development kits, or SDKs, and Application Programming Interfaces, or APIs. The company’s data-center-scale offerings are comprised of compute and networking solutions that can scale to tens of thousands of GPU-accelerated servers interconnected to function as a single giant computer; this type of data center architecture and scale is needed for the development and deployment of modern AI applications. NVIDIA has a platform strategy, bringing together hardware, systems, software, algorithms, libraries, and services to create unique value for the markets the company serves. While the computing requirements of these end markets are diverse, the company addresses them with a unified underlying architecture leveraging its GPUs and networking and software stacks. The programmable nature of the company’s architecture allows it to support several multi-billion-dollar end markets with the same underlying technology by using a variety of software stacks developed either internally or by third-party developers and partners. The large and growing number of developers and installed base across the company’s platforms strengthens its ecosystem and increases the value of its platform to its customers. In 2023, the company introduced its first data center CPU, Grace, built for giant-scale AI and high-performance computing. With a strong engineering culture, the company drives fast, yet harmonized, product and technology innovations in all dimensions of computing, including silicon, systems, networking, software and algorithms. More than half of the company’s engineers work on software. Businesses The company operates through two segments, Compute & Networking; and Graphics. The Compute & Networking segment consists of the company’s Data Center accelerated computing platforms and end-to-end networking platforms including Quantum for InfiniBand and Spectrum for Ethernet; its NVIDIA DRIVE automated-driving platform and automotive development agreements; Jetson robotics and other embedded platforms; NVIDIA AI Enterprise and other software; and DGX Cloud software and services. The Graphics segment includes GeForce GPUs for gaming and PCs, the GeForce NOW game streaming service and related infrastructure; Quadro/NVIDIA RTX GPUs for enterprise workstation graphics; virtual GPU, or vGPU, software for cloud-based visual and virtual computing; automotive platforms for infotainment systems; and Omniverse Enterprise software for building and operating metaverse and 3D internet applications. Markets The company specializes in markets where its computing platforms can provide tremendous acceleration for applications. These platforms incorporate processors, interconnects, software, algorithms, systems, and services to deliver unique value. The company’s platforms address four large markets where its expertise is critical: Data Center, Gaming, Professional Visualization, and Automotive. Data Center The NVIDIA Data Center platform focuses on accelerating the most compute-intensive workloads, such as AI, data analytics, graphics and scientific computing, delivering significantly better performance and power efficiency relative to conventional CPU-only approaches. It is deployed in cloud, hyperscale, on-premises and edge data centers. The platform consists of compute and networking offerings typically delivered to customers as systems, subsystems, or modules, along with software and services. The company’s compute offerings include supercomputing platforms and servers, bringing together its energy efficient GPUs, DPUs, interconnects, and fully optimized AI and high-performance computing, or HPC, software stacks. In addition, they include NVIDIA AI Enterprise software; its DGX Cloud service; and a growing body of acceleration libraries, APIs, SDKs, and domain-specific application frameworks. The company’s networking offerings include end-to-end platforms for InfiniBand and Ethernet, consisting of network adapters, cables, DPUs, and switch systems, as well as a full software stack. This has enabled the company to architect data center-scale computing platforms that can interconnect thousands of compute nodes with high-performance networking. The company’s end customers include the world’s leading public cloud and consumer internet companies, thousands of enterprises and startups, and public sector entities. The company works with industry leaders to help build or transform their applications and data center infrastructure. The company’s direct customers include original equipment manufacturers, or OEMs, original device manufacturers, or ODMs, system integrators and distributors which it partners with to help bring its products to market. The company also has partnerships in automotive, healthcare, financial services, manufacturing, and retail among others, to accelerate the adoption of AI. At the foundation of the NVIDIA accelerated computing platform are the company’s GPUs, which excel at parallel workloads, such as the training and inferencing of neural networks. While its approach starts with powerful chips, what makes it a full-stack computing platform is the company’s large body of software, including the CUDA parallel programming model, the CUDA-X collection of acceleration libraries, APIs, SDKs, and domain-specific application frameworks. In addition to software delivered to customers as an integral part of its data center computing platform, the company offers paid licenses to NVIDIA AI Enterprise, a comprehensive suite of enterprise-grade AI software and NVIDIA vGPU software for graphics-rich virtual desktops and workstations. In fiscal year 2024, the company launched the NVIDIA DGX Cloud, an AI-training-as-a-service platform, which includes cloud-based infrastructure and software for AI, customizable pretrained AI models, and access to NVIDIA experts. The company has partnered with leading cloud service providers to host this service in their data centers. Gaming The company’s gaming platforms leverage its GPUs and sophisticated software to enhance the gaming experience with smoother, higher quality graphics. The company developed NVIDIA RTX to bring next generation graphics and AI to games. NVIDIA RTX features ray tracing technology for real-time, cinematic-quality rendering. Ray tracing, which has long been used for special effects in the movie industry, is a computationally intensive technique that simulates the physical behavior of light to achieve greater realism in computer-generated scenes. NVIDIA RTX also features deep learning super sampling, or NVIDIA DLSS, the company’s AI technology that boosts frame rates while generating beautiful, sharp images for games. RTX GPUs will also accelerate a new generation of AI applications. With an installed base of over 100 million AI capable PCs, more than 500 RTX AI-enabled applications and games, and a robust suite of development tools, RTX is already the AI PC leader. The company’s products for the gaming market include GeForce RTX and GeForce GTX GPUs for gaming desktop and laptop PCs, GeForce NOW cloud gaming for playing PC games on underpowered devices, as well as SoCs and development services for game consoles. Professional Visualization The company serves the Professional Visualization market by working closely with independent software vendors, or ISVs, to optimize their offerings for NVIDIA GPUs. The company’s GPU computing platform enhances productivity and introduces new capabilities for critical workflows in many fields, such as design and manufacturing and digital content creation. Design and manufacturing encompass computer-aided design, architectural design, consumer-products manufacturing, medical instrumentation, and aerospace. Digital content creation includes professional video editing and post-production, special effects for films, and broadcast-television graphics. The NVIDIA RTX platform makes it possible to render film-quality, photorealistic objects and environments with physically accurate shadows, reflections and refractions using ray tracing in real-time. Many leading 3D design and content creation applications developed by the company’s ecosystem partners support RTX, allowing professionals to accelerate and transform their workflows with NVIDIA RTX GPUs and software. The company offers NVIDIA Omniverse as a development platform and operating system for building virtual world simulation applications, available as a software subscription for enterprise use and free for individual use. Industrial enterprises are adopting Omniverse’s 3D and simulation technologies to digitalize their complex physical assets, processes, and environments – building digital twins of factories, real time 3D product configurators, testing and validating autonomous robots and vehicles, powered by NVIDIA accelerated computing infrastructure on-premises and in the cloud. Automotive Automotive market consists of platform solutions for automated driving and in-vehicle cockpit computing. Leveraging the company’s technology leadership in AI and building on its long-standing automotive relationships, it is delivering a complete end-to-end solution for the AV market under the DRIVE Hyperion brand. The company has demonstrated multiple applications of AI within the car: AI can drive the car itself as a pilot in fully autonomous mode or it can also be a co-pilot, assisting the human driver while creating a safer driving experience. The company is working with several hundred partners in the automotive ecosystem including automakers, truck makers, tier-one suppliers, sensor manufacturers, automotive research institutions, HD mapping companies, and startups to develop and deploy AI systems for self-driving vehicles. The company’s unified AI computing architecture starts with training deep neural networks using its Data Center computing solutions, and then running a full perception, fusion, planning, and control stack within the vehicle on the NVIDIA DRIVE Hyperion platform. DRIVE Hyperion consists of the high-performance, energy efficient DRIVE AGX computing hardware, a reference sensor set that supports full self-driving capability, as well as an open, modular DRIVE software platform for autonomous driving, mapping, and parking services, and intelligent in-vehicle experiences. In addition, the company offers a scalable data center-based simulation solution, NVIDIA DRIVE Sim, based on NVIDIA Omniverse software, for digital cockpit development, as well as for testing and validating a self-driving platform. The company’s unique end-to-end, software-defined approach is designed for continuous innovation and continuous development, enabling cars to receive over-the-air updates to add new features and capabilities throughout the life of a vehicle. Business Strategies NVIDIA’s key strategies that shape the company’s overall business approach include advancing the NVIDIA accelerated computing platform; extending its technology and platform leadership in AI; extending its technology and platform leadership in computer graphics; advancing the leading autonomous vehicle platform; and leveraging its intellectual property, or IP. Sales and Marketing The company’s worldwide sales and marketing strategy is key to achieving by providing markets with its high-performance and efficient computing platforms and software. The company’s sales and marketing teams, located across its global markets, work closely with end customers and various industry ecosystems through its partner network. The company’s partner network incorporates global, regional and specialized CSPs, OEMs, ODMs, system integrators, independent software vendors, or ISVs, add-in board manufacturers, or AIBs, distributors, automotive manufacturers and tier-1 automotive suppliers, and other ecosystem participants. Members of the company’s sales team have technical expertise and product and industry knowledge. The company also employs a team of application engineers and solution architects to provide pre-sales assistance to its partner network in designing, testing, and qualifying system designs that incorporate its platforms. For example, the company’s solution architects work with CSPs to provide pre-sales assistance to optimize their hardware and software infrastructure for generative AI and LLM training and deployment. To encourage the development of applications optimized for its platforms and software, the company seeks to establish and maintain strong relationships in the software development community. Engineering and marketing personnel engage with key software developers to promote and discuss the company’s platforms, as well as to ascertain individual product requirements and solve technical problems. The company’s developer program supports the development of AI frameworks, SDKs, and APIs for software applications and game titles that are optimized for its platforms. The company’s Deep Learning Institute provides in-person and online training for developers in industries and organizations around the world to build AI and accelerated computing applications that leverage its platforms. Seasonality The company’s computing platforms serve a diverse set of markets, such as data centers, gaming, professional visualization, and automotive. The company’s desktop gaming products typically see stronger revenue in the second half of its fiscal year (year ended January 28, 2024). Manufacturing The company utilizes foundries, such as Taiwan Semiconductor Manufacturing Company Limited, or TSMC, and Samsung Electronics Co., Ltd., or Samsung, to produce its semiconductor wafers. The company purchases memory from Micron Technology, Inc., SK Hynix Inc., and Samsung. We utilize CoWoS technology for semiconductor packaging. The company engages with independent subcontractors and contract manufacturers such as Hon Hai Precision Industry Co., Ltd., Wistron Corporation, and Fabrinet to perform assembly, testing and packaging of its final products. Competition The company’s current competitors include: suppliers and licensors of hardware and software for discrete and integrated GPUs, custom chips and other accelerated computing solutions, including solutions offered for AI, such as Advanced Micro Devices, Inc., or AMD, Huawei Technologies Co. Ltd., or Huawei, and Intel Corporation, or Intel; large cloud services companies with internal teams designing hardware and software that incorporate accelerated or AI computing functionality as part of their internal solutions or platforms, such as Alibaba Group, Alphabet Inc., Amazon, Inc., or Amazon, Baidu, Inc., Huawei, and Microsoft Corporation, or Microsoft; suppliers of Arm-based CPUs and companies that incorporate hardware and software for CPUs as part of their internal solutions or platforms, such as Amazon, Huawei, and Microsoft; suppliers of hardware and software for SoC products that are used in servers or embedded into automobiles, autonomous machines, and gaming devices, such as Ambarella, Inc., AMD, Broadcom Inc., or Broadcom, Intel, Qualcomm Incorporated, Renesas Electronics Corporation, and Samsung, or companies with internal teams designing SoC products for their own products and services, such as Tesla, Inc.; and networking products consisting of switches, network adapters (including DPUs), and cable solutions (including optical modules) include such as AMD, Arista Networks, Broadcom, Cisco Systems, Inc., Hewlett Packard Enterprise Company, Huawei, Intel, Lumentum Holdings, and Marvell Technology Group as well as internal teams of system vendors and large cloud services companies. Patents and Proprietary Rights The company’s issued patents have expiration dates from February 2024 to August 2043. The company has numerous patents issued, allowed, and pending in the United States and in foreign jurisdictions. Government Regulations The company’s worldwide business activities are subject to various laws, rules, and regulations of the United States, as well as of foreign governments. During the third quarter of fiscal year 2023, the U.S. government, or the USG, announced licensing requirements that, with certain exceptions, impact exports to China (including Hong Kong and Macau) and Russia of the company’s A100 and H100 integrated circuits, DGX or any other systems or boards which incorporate A100 or H100 integrated circuits. In July 2023, the USG informed the company of an additional licensing requirement for a subset of A100 and H100 products destined to certain customers and other regions, including some countries in the Middle East. In October 2023, the USG announced new and updated licensing requirements that became effective in the company’s fourth quarter of fiscal year 2024 for exports to China and Country Groups D1, D4, and D5 (including but not limited to Saudi Arabia, the United Arab Emirates, and Vietnam, but excluding Israel) of its products exceeding certain performance thresholds, including A100, A800, H100, H800, L4, L40, L40S and RTX 4090. The licensing requirements also apply to the export of products exceeding certain performance thresholds to a party headquartered in, or with an ultimate parent headquartered in, Country Group D5, including China. On October 23, 2023, the USG informed the company the licensing requirements were effective immediately for shipments of its A100, A800, H100, H800, and L40S products. History NVIDIA Corporation was founded in 1993. The company was incorporated in California in 1993 and reincorporated in Delaware in 1998