Last Updated -
October 26, 2026
Explore the business model, global strategy, and market performance including insights into its position in China.
NVIDIA Corporation is an accelerated-computing company founded in 1993 and headquartered in Santa Clara, California. The company began with graphics processing units, or GPUs, which are chips designed to handle many calculations at the same time, and has developed into a central supplier of AI data-center infrastructure. Its platforms now combine GPUs, CPUs, networking and interconnect products, full systems, software, algorithms, and services for data centers and edge computing.
NVIDIA’s core business is selling accelerated computing platforms to cloud service providers, AI model developers, enterprises, system builders, distributors, and public-sector customers. Its Data Center business dominates the company’s profile, while Graphics remains relevant through gaming, workstations, and professional visualization. The company’s strategy has expanded from individual chips toward full AI factory systems, including Blackwell and Blackwell Ultra infrastructure, Vera Rubin platforms, CUDA software, networking, and security and data-processing products.
In the second quarter of fiscal 2027, ended July 26, 2026, NVIDIA reported revenue of $96.2 billion, up 106% year over year, with Data Center revenue of $89.0 billion, or about 92.5% of total revenue. GAAP gross margin was 75.0%, GAAP net income was $59.7 billion, and GAAP diluted earnings per share were $2.46. Management guided for third-quarter fiscal 2027 revenue of about $108.0 billion, while assuming no Data Center compute revenue from China, which remains a major regulatory and geopolitical constraint on its largest growth market.
NVIDIA makes money by selling accelerated-computing platforms for data centers, edge computing, gaming, professional visualization, workstations, robotics and automotive use cases. The company’s core model has moved well beyond selling standalone GPUs. It now combines GPUs, CPUs, networking and interconnects, full systems, software, algorithms and services into platform offerings used to build AI factories and high-performance computing infrastructure.
The business is dominated by AI data-center demand. In Q2 fiscal 2027, the quarter ended July 26, 2026, NVIDIA generated $96.2 billion of revenue, up 106% year over year. Data Center revenue was $89.0 billion, equal to about 92.5% of total revenue, and grew 117% year over year. This makes NVIDIA primarily an AI infrastructure company, with graphics and edge markets now secondary contributors.
NVIDIA’s competitive advantage comes from the breadth of its platform. Its CUDA software ecosystem, GPU architecture, high-speed networking, full-rack systems, data-processing and security products, and AI factory design tools create switching costs for customers building large AI infrastructure. The company also benefits from scale, close relationships with cloud and AI infrastructure buyers, advanced supply-chain access and the ability to integrate chips, systems and software into complete platforms.
The latest growth cycle is led by Blackwell and Blackwell Ultra, with gross margin benefiting from improved Blackwell Ultra mix in Q2 fiscal 2027. NVIDIA has also moved Vera Rubin into full production and announced systems running or ramping with major cloud and AI infrastructure partners, including CoreWeave, Google Cloud, Microsoft Azure, Oracle Cloud Infrastructure and Nebius. These relationships reinforce its position at the center of global AI infrastructure spending.
NVIDIA’s main competitors include AMD in data-center GPUs, cloud providers’ custom AI ASICs, China-based accelerator suppliers and other AI compute architectures. Moore Threads is a notable Chinese public-market competitor in GPUs and AI accelerators, although NVIDIA’s ability to compete in China’s data-center compute market is currently constrained by U.S. export controls and Chinese policy responses. The company’s Q3 fiscal 2027 outlook assumes no Data Center compute revenue from China.
Compared with AMD, NVIDIA has a broader AI infrastructure stack and a stronger software ecosystem around CUDA. Compared with hyperscaler custom silicon, NVIDIA offers a more general external platform used across many customers and workloads. This gives it a leading market position in public AI accelerator suppliers, but it also exposes the company to customer concentration, supply-chain limits and the risk that the largest cloud buyers shift more spending toward internal chips over time.
China remains a meaningful geographic market but not a meaningful contributor to the core data-center compute opportunity under current restrictions. Revenue from customers headquartered in China, including Hong Kong, was $7.9 billion in Q2 fiscal 2027, about 8.2% of total revenue. NVIDIA stated that it was able to ship uncontrolled products such as gaming and workstation GPUs to China, while being effectively foreclosed from competing in China’s data-center compute market under the current regulatory environment.
NVIDIA’s market position is exceptionally strong, reflected in Q2 fiscal 2027 GAAP gross margin of 75.0% and GAAP operating income of $63.7 billion. The company also guided for Q3 fiscal 2027 revenue of $108.0 billion, plus or minus 2%, despite assuming no Data Center compute revenue from China. The key investor issue is whether AI infrastructure spending, financing capacity and data-center buildouts sustain growth at a level that supports NVIDIA’s current scale and margins.
China remains meaningful for Nvidia, but its role has narrowed sharply in the core AI data-center business. Revenue from customers headquartered in China, including Hong Kong, was $7.88 billion in Q2 fiscal 2027, about 8.2% of total revenue. First-half fiscal 2027 China revenue was $12.43 billion, down from $13.64 billion a year earlier. Nvidia said it was still able to ship uncontrolled products to China, including gaming and workstation GPUs, but current U.S. and China restrictions effectively block it from competing in China’s data-center compute market. Data Center Hopper shipments to China were less than 1% of Data Center revenue in Q2, and the Q3 outlook assumes no China Data Center compute revenue. Local competitors include Huawei, Moore Threads, Biren Technology and other domestic accelerator suppliers supported by China’s push for semiconductor self-reliance.
Nvidia’s growth profile remains dominated by the global buildout of AI data-center infrastructure. In Q2 fiscal 2027, revenue reached $96.2 billion, up 18% sequentially and 106% year over year. Data Center revenue was $89.0 billion, equal to about 92.5% of total revenue, driven by the Blackwell Ultra ramp. GAAP operating income rose 124% year over year to $63.7 billion, while gross margin held at 75.0%, helped by mix and scale. The company guided Q3 fiscal 2027 revenue to $108.0 billion, plus or minus 2%, while assuming no Data Center compute revenue from China.
Product expansion is moving Nvidia further into full-rack systems, CPUs, switches, security processors, inference accelerators and data-center design software. Edge AI, robotics, automotive, workstation and AI PC opportunities add longer-term optionality, although they remain much smaller than Data Center today. Geographic expansion is constrained by China. Customers headquartered in China, including Hong Kong, produced $7.9 billion of Q2 fiscal 2027 revenue, but Nvidia is effectively restricted from competing in China’s data-center compute market under current U.S. and Chinese policy conditions.
Nvidia’s near-term outlook remains strong because reported growth, backlog-related demand signals and Q3 guidance all point to continued AI infrastructure expansion. The investment case is less about whether demand is growing today and more about the durability of AI capital spending, the pace of inference adoption, the resilience of margins and the company’s ability to manage geopolitical, financing and concentration risks.
Next Earnings Planned for:
August 26, 2026
This Company Profile was written by Dominik Diemer
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