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NVIDIA

Designs the chips and software that power AI

Overview

Company Historically Provides H1B Sponsorship

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

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About NVIDIA

Simplify's Rating
Why NVIDIA is rated
A-
Rated A on Competitive Edge
Rated A on Growth Potential
Rated B on Differentiation

Industries

HardwareAI & Machine LearningGaming

Company Size

10,001+

Company Stage

IPO

Headquarters

Santa Clara, CA

Founded

1993

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Simplify's Take

What believers are saying

  • AI demand is still surging: data center sales rose 117% to $89 billion in the quarter ending July 2026.
  • Stock grants are worth more: shares hit a record in October 2026, up 28% for the year.
  • Engineering dominates hiring: 1,722 of NVIDIA's 2,686 job listings in October 2026 were in engineering.

What critics are saying

  • Big buyers are hedging: Meta's February 2026 agreement covers 6 gigawatts of AMD chips.
  • Financing its buyers is getting harder: lenders pushed back on NVIDIA's $500 billion chip-backed loan plan in October 2026.
  • Staff described long hours: Bloomberg's August 2024 interviews reported seven-day weeks, late nights and shouting matches.

What makes NVIDIA unique

  • Rivals must match its software too: over 7.5 million developers use CUDA and other NVIDIA tools to program its chips.
  • The CEO has a broad direct staff: Jensen Huang says over 60 people report to him, without one-on-ones.
  • People rarely leave: NVIDIA's yearly staff turnover is 3.7%, versus a 21.9% average across the tech industry.

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Funding

Total Funding

$25.1B

Above

Industry Average

Funded Over

3 Rounds

Post IPO Debt funding comparison data is currently unavailable. We're working to provide this information soon!
Post IPO Debt Funding Comparison Coming Soon

Benefits

  • Company Equity
  • 401(k) Company Match

Stock Price

Growth & Insights and Company News

6 month growth

1%

1 year growth

1%

2 year growth

0%
TechCrunch
Nov 2nd, 2026
Trajectory raises $45M at $300M valuation to let non-experts train AI models

Trajectory, a startup that automates AI model training, has raised $45 million in a Series A round at a $300 million valuation. Sequoia led the round, with Nvidia, Bessemer Venture Partners, and Bain Capital Ventures taking part. The 18-person company, founded about a year ago by three Stanford classmates, lets businesses start with an open-source model and connect Trajectory's platform to their applications. The platform collects feedback on the model's performance and uses it to retrain the model, so it improves at specialised tasks over time. Lawyers, doctors, and other specialists can run this process themselves, co-founder Ronak Malde said. Harvey, Rogo, Decagon, Mercor, and Nvidia are customers, and the platform is now publicly available.

CNBC
Nov 2nd, 2026
Nvidia's humanoid robot platforms lean on China-made hands from startups Wuji and Sharpa

Nvidia's latest humanoid robot reference platform uses hands from Chinese startup Wuji, its second such system in months to rely on China-linked hand makers. A platform shown in May used hands from Sharpa, a Singapore-headquartered startup co-founded by David Li, chief executive officer of Shanghai-based lidar company Hesai. Nvidia chief executive officer Jensen Huang showed the Wuji Hand 2 on a slide in Berlin on October 21, while presenting Agile One SN. The training system, announced by Agile Robots, runs on Nvidia's Isaac software and Jetson Thor platform. Research institutions such as Stanford and ETH Zurich can likely start using it in early 2027. Wuji was founded in 2019 by Pan Yunzhe and is backed by Ant Group, HSG, and Future Capital, according to PitchBook.

Yahoo Finance
Nov 2nd, 2026
Nvidia, Amazon and Alphabet: 3 AI stocks to buy in November after 10% post-earnings dip

A Motley Fool columnist names Amazon, Alphabet, and Nvidia as top AI stocks to buy in November. Amazon and Alphabet fell after their latest earnings, which he calls short-sighted. Google Cloud revenue rose 103% in the third quarter, lifting Alphabet's overall growth to 25%. The stock still dropped more than 10% the next day. Amazon Web Services grew 39% and makes up 63% of Amazon's operating profits. Both companies plan to spend $200 billion or more on capital expenditure this year. Nvidia has guided for 70% revenue growth in 2027 and trades at 26 times trailing earnings, or 13 times next year's projected earnings. If it returned to 26 times, the columnist says, the stock would double.

Yahoo Finance
Nov 2nd, 2026
Polymarket traders missed Nvidia's October drop; 70% see $216 in November

Polymarket traders expected Nvidia to close October near $224, but the stock ended at $204.64, down 10.4% from its September 30 close of $228.38. Across 467 resolved Nvidia markets, the crowd's favoured outcome was right 78.8% of the time. For November, with shares near $208, Polymarket gives Nvidia a 70% chance of touching $216 and 18% odds of reaching $240. It prices a $184 touch at 31.5%. Earnings are due November 17. Memory price increases and guidance that excludes China data center revenue are flagged as downside risks. Management guided third-quarter revenue to $108.0 billion, plus or minus 2%. Wall Street's consensus 12-month target is $328.95.

Yahoo Finance
Nov 2nd, 2026
November is the best month for stocks (1.9% average gain): three buys are Nvidia, Micron and Alphabet

November has historically been the best month for the S&P 500, averaging a 1.9% gain, according to Motley Fool research. April and December each average 1.4%. Election cycles fall in half of those years, so the effect holds regardless. Columnist Keithen Drury picks three stocks to buy: Nvidia, Micron Technology, and Alphabet. Nvidia grew revenue 106% in the second quarter, yet trades at 27 times earnings and 13.4 times next year's earnings. Micron makes memory chips in short supply and trades at 5.3 times this year's earnings. Alphabet fell more than 10% after earnings on negative cash flow. Drury says Google Cloud's 103% third-quarter growth justifies the spending.

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