An overview of NVIDIA's AI chip business, CUDA ecosystem, latest earnings, key risks, and a step-by-step guide to buying NVDA shares.
NVIDIA's Core Business and the Formation of Its AI Dominance
NVIDIA's remarkable share price surge, driven by the AI wave sweeping across the globe, has made the company a persistent focus of attention in the US equity market. What exactly does NVIDIA do, and what are the drivers behind its share price and financial performance? This article provides a systematic overview of NVIDIA's US stock, covering its core business, competitive advantages, earnings analysis, and the steps required to purchase shares.
From Gaming Graphics Cards to the Heart of AI: Inventor of the Graphics Processing Unit
NVIDIA is a fabless semiconductor company that designs and sellsGPUs, originally known for inventing the GPU and revolutionising the personal computer gaming industry. A GPU contains thousands of small computing cores, and this massively parallel processing architecture makes it far more efficient than a traditionalCPUwhen handling the vast matrix computations required by deep learning models. In 2012, a deep learning model achieved a breakthrough in an image recognition competition using computations performed on NVIDIA GPUs, an event that laid the technical foundation for the company's position in the AI sector.
A Software-Hardware Ecosystem: The Moat Built by the CUDA Platform
NVIDIA's strongest moat is not hardware alone, but itsCUDAparallel computing platform, launched as early as 2006. After nearly two decades of sustained investment, this platform has attracted millions of developers worldwide to use NVIDIA GPUs for scientific computing and AI model development, forming a vast and highly sticky ecosystem. Even if competitors are able to launch hardware with comparable performance, replicating this mature software ecosystem in the short term remains difficult—a core competitive barrier that company management has repeatedly emphasised in recent years. To help clarify the differences in computing architecture between NVIDIA and its peers, the table below compares several chip concepts that are often confused with one another:
| Chip Type | Core Definition | Typical Application | Representative Companies or Products |
|---|---|---|---|
| GPU (Graphics Processing Unit) | A general-purpose accelerator chip with massively parallel computing capability | AI model training and inference, graphics rendering | NVIDIA, AMD |
| CPU (Central Processing Unit) | A general-purpose processor optimised for sequential logic operations and task scheduling | General computing, system control | Intel, AMD |
| ASIC (Application-Specific Integrated Circuit) | A dedicated integrated circuit tailored for specific computing tasks | Custom AI inference chips developed in-house by cloud providers | Products manufactured by Broadcom, Marvell |
| TPU (Tensor Processing Unit) | A custom chip optimised for neural network tensor computations | AI training and inference on specific cloud platforms | Google's proprietary TPU |
Three Key Investment Highlights for NVIDIA
Investors' interest in NVIDIA stock stems primarily from its central role in AI infrastructure, its market leadership that is difficult to displace, and its expanding footprint into emerging areas such as automotive and professional visualisation—factors that together form the foundation for the company's long-term growth.
Explosive Growth in the Data Centre Business
The build-out of AI infrastructure remains in a phase of sustained expansion, with businesses and governments worldwide actively investing in related computing capacity, which translates directly into strong demand for NVIDIA GPUs. The data centre business has become the company's primary revenue engine, consistently accounting for more than 80% of total revenue, with growth significantly outpacing other business segments.
A Market Position and Pricing Power That Are Difficult to Displace
Backed by its technological lead and the moat provided by the CUDA ecosystem, NVIDIA commands strong pricing power in the AI chip market, allowing it to maintain gross margins consistently above 70%. This market position ensures the company can continuously convert its technological advantages into tangible financial returns.
From Automotive to Professional Visualisation: An Expanding Business Footprint
Beyond its data centre business, NVIDIA also holds a leading position in autonomous driving, professional visualisation and gaming, with key product lines including:
Automotive computing platforms for autonomous driving.
Professional visualisation software platforms for industrial simulation and 3D content creation.
Graphics processing unit product lines for the consumer gaming market.
Business diversification helps reduce reliance on any single market and creates room for the company to pursue new growth curves in future. Founder and CEO Jensen Huang has led NVIDIA's technology roadmap and strategic direction since founding the company in 1993, and remains a key figure the market frequently references when assessing NVIDIA's long-term development trajectory.
Latest Earnings Update and Key Metrics for NVIDIA
When analysing NVIDIA's earnings, the market typically focuses on three core data points: the growth rate of data centre revenue, changes in gross margin, and the company's outlook for future performance. Below is a summary of a recent real-world event closely tied to investment decision-making:
Background: The market had previously focused on whether NVIDIA could sustain the revenue growth momentum of prior quarters amid rapidly expanding demand for data centre GPUs, and whether it could effectively manage the uncertainty created by export control policies affecting its China business.
Development: The company reported its latest quarterly results, with revenue reaching a record high, up 85% year-on-year; data centre revenue likewise hit a record, up 92% year-on-year; and gross margin remained above 70%. The company simultaneously announced an expanded share buyback authorisation and a substantial increase to its quarterly cash dividend. Management stated in the earnings release that the build-out of AI infrastructure is accelerating at an unprecedented pace. (Source: US Securities and Exchange Commission Form 8-K, NVIDIA quarterly financial results announcement, published: 20 May 2026)
Impact: Notably, the company's guidance for the current quarter does not include revenue from data centre computing chips sold into the China market, reflecting the continued material impact of export control policies on this business. Nevertheless, the market has broadly maintained confidence in the company's ability to sustain high growth, though this also means geopolitical factors will remain a key variable affecting the future performance of NVIDIA's US-listed stock.
How to Buy NVIDIA Stock: A Three-Step Guide for New Investors
Buying NVIDIA stock is a relatively straightforward process, involving three main steps: choosing a broker, completing account verification, and depositing funds to place an order—after which investors can participate in the growth of this AI giant.
Choose a properly regulated broker that offers US stock trading services, weighing factors such as trading fees and platform stability.
Complete online account opening and identity verification, which typically requires proof of identity and proof of address documents, with a review period generally taking one to three business days.
Once the account is approved, deposit funds into the brokerage account via bank wire transfer or other methods. Once the funds have cleared, search for the ticker symbol "NVDA" on the trading platform to place a buy order.
When assessing NVIDIA's growth potential, investors may also refer to the basic formula for year-on-year revenue growth as a supplementary indicator of the company's business momentum:
The formula for year-on-year revenue growth rate is
Year-on-year growth rate = (Current period revenue − Revenue in the same period last year) ÷ Revenue in the same period last year × 100%
Potential Risks to Consider When Investing in NVIDIA Stock
While NVIDIA's technological advantages and ecosystem moat in the AI chip sector have secured its central position in the AI era, investors positioning themselves in NVIDIA stock must also give due consideration to the following risk factors:
Geopolitical and export control risk: Changes in relevant policy could continue to affect the scale of the company's chip sales in specific markets.
Rising competitive risk: Competition from industry peers and from cloud customers developing their own chips in-house could divert a portion of market demand over the medium to long term.
Volatility risk from high valuation: The market has built high expectations for the company to sustain rapid growth, and any guidance that falls short of expectations could trigger short-term share price volatility.
Frequently Asked Questions About NVIDIA Stock
What is NVIDIA's core business?
NVIDIA is a fabless semiconductor company that designs and sells GPUs. Its core business spans data centre accelerated computing, gaming graphics cards, professional visualisation, and autonomous driving, with the data centre segment currently accounting for the largest share of revenue.
Why is the CUDA ecosystem considered NVIDIA's moat?
CUDA is a parallel computing platform NVIDIA launched as early as 2006. Over many years, it has attracted a large developer base building applications and models on the platform. Even if competitors launch hardware with comparable performance, replicating this mature software ecosystem in the short term remains difficult.
How should investors interpret NVIDIA's quarterly earnings?
When analysing NVIDIA's earnings, investors should focus on the year-on-year and quarter-on-quarter growth rates of data centre revenue, changes in gross margin as an indicator of pricing power, and management's outlook for the next quarter's revenue—these three data points are typically key drivers of market sentiment and short-term share price movement.
What impact do export control policies have on NVIDIA?
Export control policies may restrict the sale of specific chip models to certain markets, thereby affecting revenue contribution from those regions. The company's recent guidance no longer includes revenue from data centre computing chips sold into the China market, reflecting the ongoing impact of this policy variable.
How can retail investors buy NVIDIA stock?
Investors should first choose a broker offering US stock trading services, complete online account opening and identity verification, and then deposit funds into the brokerage account. They can then search for the ticker symbol "NVDA" on the trading platform, enter the desired number of shares or amount, and complete the order.
