Nvidia Corporation — Business Overview

What does NVIDIA do?

NVIDIA designs and sells the chips, systems, and software that power artificial intelligence and high-performance computing, as well as consumer graphics for gaming. Originally known for making graphics processing units (GPUs — specialized chips that process visual information), NVIDIA has evolved into what it calls a "data center scale AI infrastructure company," meaning its products now form the backbone of the massive computing clusters that train and run AI models. Its technology stack runs from raw silicon all the way up to developer software, making it unusual in the semiconductor world.

NVIDIA reports two business segments:

The Compute & Networking segment is by far the larger and faster-growing of the two, driven by explosive demand for AI infrastructure.

How does NVIDIA make money?

NVIDIA's primary revenue engine is selling hardware systems — primarily GPUs and complete rack-scale server systems — to cloud providers and AI companies building out data center infrastructure. These sales are typically delivered as fully integrated rack-scale systems under product families like Blackwell (current generation) and the upcoming Rubin platform. Cloud service providers (CSPs) such as Amazon, Microsoft, Google, and Oracle are among the largest buyers, alongside AI model developers and large enterprises.

A growing secondary stream comes from software and services. NVIDIA offers paid licenses to NVIDIA AI Enterprise, a suite of enterprise software tools for building and deploying AI applications, as well as vGPU software for virtual desktops. While hardware still dominates, the software layer adds recurring, higher-margin revenue on top of the hardware base.

Gaming and professional visualization generate meaningful but secondary revenue. Gamers buy GeForce RTX GPUs, while architects, engineers, and creative professionals buy Quadro/RTX Pro workstation cards. NVIDIA also earns revenue from the GeForce NOW cloud gaming service and from supplying chips for game consoles.

What market does NVIDIA operate in?

The AI infrastructure market is the dominant force shaping NVIDIA's business and is growing at a historically unusual pace. Demand for the computing power needed to train and run large AI models — the kind behind tools like ChatGPT — has driven explosive spending by cloud providers, governments, and enterprises worldwide. NVIDIA explicitly describes the data center as "the new unit of computing," with its GPU clusters enabling workloads that simply cannot run on conventional processors.

The gaming GPU market is large and relatively mature, though AI is opening new growth vectors. PC gaming is described by NVIDIA as the largest entertainment industry, and demand is supported by eSports, live streaming, and content creation. The emergence of on-device AI applications — where users run AI locally on their PC for privacy or latency reasons — is a new potential demand driver for higher-end GeForce cards.

The autonomous vehicle market is early-stage but represents a long-term opportunity. NVIDIA's DRIVE platform targets the full stack of self-driving technology. Adoption is still in progress across the automotive industry, but NVIDIA has relationships with hundreds of automotive ecosystem partners.

Who are NVIDIA's main competitors?

NVIDIA holds a commanding position in AI accelerator chips, reinforced by a software ecosystem that competitors find very difficult to replicate. The core of this moat (competitive advantage) is CUDA — a software development platform introduced in 2006 that over 7.5 million developers now use to write programs that run on NVIDIA GPUs. Because so much AI software is built on CUDA, switching to a competitor's chip requires significant re-engineering effort, creating strong lock-in.

The competitive landscape is broad and intensifying, spanning both chip companies and the cloud giants themselves. Key competitors include:

• Traditional chip rivals: AMD, Intel, Huawei (in China)
• Cloud providers building custom chips: Amazon (Trainium/Inferentia), Google (TPUs), Microsoft, Alibaba, Baidu
• Networking and interconnect rivals: Broadcom, Marvell, Cisco, Arista
• Automotive SoC competitors: Qualcomm, Renesas, Ambarella, Tesla (internal)

NVIDIA acknowledges the market is "intensely competitive" and warns that some competitors have greater financial and manufacturing resources. The filing also notes that U.S. export restrictions have helped non-U.S. competitors, particularly Chinese chip designers, build larger ecosystems by filling the void NVIDIA can no longer serve.

Where does NVIDIA operate?

NVIDIA is headquartered in Santa Clara, California, but its supply chain is heavily concentrated in Asia. It follows a fabless model — meaning it designs chips but does not own factories. Manufacturing is outsourced primarily to TSMC (Taiwan) and Samsung (South Korea) for chip fabrication, with assembly and packaging done by contract manufacturers including Hon Hai (Foxconn) and Wistron. Memory comes from SK Hynix, Micron, and Samsung. NVIDIA has noted it is working to expand manufacturing into the U.S. and Latin America to reduce concentration risk, but Asia remains the dominant production base today.

Geopolitical exposure to China is a material and explicitly flagged risk. A series of U.S. government export restrictions since 2022 have effectively barred NVIDIA from selling competitive data center chips into China. The company took a $4.5 billion charge in early fiscal 2026 related to its H20 chip after new restrictions eliminated demand. As of the end of fiscal 2026, NVIDIA states it is "effectively foreclosed from competing in China's data center computing market." The filing is direct that this foreclosure materially harms its results and benefits Chinese competitors. The Middle East and other regions have also been affected by licensing requirements, adding further geographic uncertainty to the business.