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NVDA NASDAQ Mega cap
How to buy Nvidia stock.
$225.16 -0.06% NVDA price as of August 15, 2026
Nvidia designs the GPUs that train and serve virtually every frontier AI model. Its H100 and Blackwell platforms set the performance benchmark that labs race to acquire. Data Center revenue now dominates earnings and tracks hyperscaler AI capex closely. Nvidia is the most liquid single-stock way to own AI infrastructure spending across the whole industry.
- Market cap
- $5.43T
- P/E ratio
- 34.4
- Revenue (TTM)
- $253.49B
- Revenue growth (YoY)
- +85.2%
- 52-week range
- $164.07 – $236.54
- Day range
- $224.50 – $227.49
- Volume
- 75.50M
- Analyst target
- $302.83
What Nvidia does.
Nvidia designs the GPUs and full-stack computing platforms that train and serve the majority of the world's frontier AI models. What began as a graphics-card company for gaming is now, by revenue, primarily a data-center company: its Hopper (H100/H200) and Blackwell accelerators, paired with the CUDA software ecosystem, NVLink interconnect, and Mellanox networking, are sold as complete AI systems rather than discrete chips.
The CUDA moat is as important as the silicon. More than a decade of libraries, compilers, and developer tooling means most AI research is written against Nvidia's stack first, which raises the switching cost for anyone adopting a rival accelerator. Nvidia does not manufacture its own chips, it is a fabless designer that relies on TSMC for leading-edge production and on SK Hynix, Samsung, and Micron for the HBM stacked alongside each GPU.
Business segments
- Data Center ~88%
AI training/inference GPUs, networking, and DGX systems, the dominant and fastest-growing segment.
- Gaming
GeForce RTX consumer graphics cards.
- Professional Visualization
Workstation GPUs for design, simulation, and Omniverse.
- Automotive
DRIVE platforms for assisted and autonomous driving.
Key products
H100 / H200 (Hopper)Blackwell B200 / GB200CUDA software platformNVLink & Spectrum/InfiniBand networkingDGX systems
Why Nvidia is an AI stock.
Nvidia's H100 and Blackwell GPUs are the primary compute used to train models from Anthropic, OpenAI, Meta, and others. Supply of Nvidia silicon has been the binding constraint on how fast new models can ship. When labs like Anthropic announce compute capacity expansions, Nvidia chips are usually the hardware in question.
Nvidia is in the AI chip designers category. The GPUs and custom accelerators that train and serve every frontier AI model. Chip designers sit at the center of the AI hardware stack.
Nvidia in the AI ecosystem.
How Nvidia connects to the rest of the AI supply chain: the companies it buys from, sells to, partners with, and competes against.
Key suppliers
Major customers
- Microsoft Azure is a top buyer of Nvidia GPUs.
- Amazon AWS deploys Nvidia clusters at scale.
- CoreWeave GPU cloud built almost entirely on Nvidia.
- Super Micro Builds Nvidia-based server racks.
Nvidia financials.
Key figures below are drawn from Nvidia's most recent reporting (latest quarter ending April 30, 2026). Market cap, revenue, and analyst target are shown in the stats above.
| EPS (diluted, TTM) | $6.52 |
|---|---|
| Forward P/E | 24.8 |
| Gross profit (TTM) | $187.95B |
| Profit margin | 63.0% |
| Operating margin | 65.6% |
| Dividend yield | 0.0% |
| Beta | 2.22 |
| Shares outstanding | 24.22B |
Fundamentals sourced from Alpha Vantage, last refreshed August 15, 2026. Figures are for information only, not investment advice.
How to buy Nvidia (NVDA) step by step.
- Choose a broker. Nvidia trades on the NASDAQ under the ticker NVDA. Any broker with access to NASDAQ can execute the trade.
- Open and fund an account. Most brokers take 5-15 minutes to open an account. You will need to verify your identity. Minimum investments vary by broker.
- Search for NVDA. Once funded, search for the ticker symbol NVDA in your broker's platform and confirm you are looking at NASDAQ.
- Place your order. Select the number of shares or a dollar amount. Many brokers offer fractional shares from as little as $1. Review any fees before confirming.
- Monitor your position. Nvidia's share price will move with broader market conditions and AI sector news. Use stop-loss orders if you want to limit downside.
Key facts.
| Ticker | NVDA |
|---|---|
| Exchange | NASDAQ |
| Category | AI chip designers |
| Market cap size | Mega cap |
| Sector | TECHNOLOGY · SEMICONDUCTORS |
| Founded | 1993 |
| Headquarters | Santa Clara, California |
| CEO | Jensen Huang |
| Employees | ~29,600 |
| Fiscal year end | January |
Nvidia in the news
See all →- Berkshire Bets Big on Alphabet; Anthropic Eyes $2T IPO
- Cerebras Raises Targets, SMCI Lifts Nvidia, AI Bonds Loom
- Intel's $15B Dilution, Norway's AI Windfall, SpaceX's AI Pivot
- Nvidia's $500B AI Financing Push and Microsoft's Maia 300 Chip
- TSMC July Revenue Jumps 45%, Chip Stocks Rally
- SMCI's $14B Cash Gap, AMD-Taalas Close, SpaceX Lock-Up
- Nvidia's $3B Lancium Bet, Palantir's 93% Growth Doubted
- AMD Buys Taalas, Nvidia Trims Rubin Ultra: Aug. 7
Frequently asked questions.
Is Nvidia a good AI stock?
Nvidia is widely considered the benchmark AI stock. Its GPUs dominate AI training and inference, and its Data Center segment has grown dramatically as AI demand has accelerated. The main risks are valuation, competition from AMD and custom chips, and potential slowdowns in hyperscaler capex. It is not investment advice.
What exchange does Nvidia trade on?
Nvidia (NVDA) trades on the NASDAQ. It is included in the S&P 500 and NASDAQ-100, and is available on most retail brokers.
How do I buy Nvidia stock?
You can buy NVDA through any retail broker with access to US stocks. eToro, Robinhood, Interactive Brokers, and DEGIRO all offer Nvidia. Most support fractional shares, so you can invest with as little as $10.