NVIDIA
Founded Year
1993Stage
PIPE - IV | IPOTotal Raised
$12.6MMarket Cap
1043.30BStock Price
410.17Revenue
$0000About NVIDIA
NVIDIA (NASDAQ: NVDA) is a global technology company. The company offers products such as graphics cards, gaming laptops, monitors, and more. It serves industries such as financial services, healthcare, retail, and more. It was founded in 1993 and is based in Santa Clara, California.
- Predict emerging trends
- See competitors' playbooks
- Stalk the smart money
- Identify tomorrow's challengers
- Spot growing industries
- Kill analyst data work
Research containing NVIDIA
Get data-driven expert analysis from the CB Insights Intelligence Unit.
CB Insights Intelligence Analysts have mentioned NVIDIA in 15 CB Insights research briefs, most recently on Sep 8, 2023.
Expert Collections containing NVIDIA
Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.
NVIDIA is included in 5 Expert Collections, including Auto Tech.
Auto Tech
2,098 items
Companies working on automotive technology, which includes vehicle connectivity, autonomous driving technology, and electric vehicle technology. This includes EV manufacturers, autonomous driving developers, and companies supporting the rise of the software-defined vehicles.
Fortune 500 Investor list
590 items
This is a collection of investors named in the 2019 Fortune 500 list of companies. All CB Insights profiles for active investment arms of a Fortune 500 company are included.
Conference Exhibitors
6,062 items
Companies that will be exhibiting at CES 2018
Gaming
5,179 items
Gaming companies are defined as those developing technologies for the PC, console, mobile, and/or AR/VR video gaming market.
Semiconductors, Chips, and Advanced Electronics
6,472 items
Companies in the semiconductors & HPC space, including integrated device manufacturers (IDMs), fabless firms, semiconductor production equipment manufacturers, electronic design automation (EDA), advanced semiconductor material companies, and more
NVIDIA Patents
NVIDIA has filed 5307 patents.
The 3 most popular patent topics include:
- Artificial neural networks
- Artificial intelligence
- Machine learning
Application Date | Grant Date | Title | Related Topics | Status |
|---|---|---|---|---|
1/3/2022 | 9/19/2023 | Artificial neural networks, Speech synthesis, Artificial intelligence, Neural networks, Computational linguistics | Grant |
Application Date | 1/3/2022 |
|---|---|
Grant Date | 9/19/2023 |
Title | |
Related Topics | Artificial neural networks, Speech synthesis, Artificial intelligence, Neural networks, Computational linguistics |
Status | Grant |
Latest NVIDIA News
Sep 22, 2023
Databricks raises series I investment at $43b valuation Databricks has secured over $500 million in Series I funding, catapulting the company’s valuation to $43 billion, with shares priced at $73.50. The funding round is led by T. Rowe Price Associates, Inc., and features participation from existing investors like Andreessen Horowitz, Baillie Gifford, ClearBridge Investments, Counterpoint Global (Morgan Stanley), Fidelity Management & Research Company, Franklin Templeton, GIC, Octahedron Capital, and Tiger Global, as well as newcomers Capital One Ventures, Ontario Teachers’ Pension Plan, and NVIDIA. Zero Carbon Ventures closes US $5 million seed investment Zero Carbon Ventures has successfully concluded its seed investment round, coinciding with the appointment of His Highness Sheikh Ahmed bin Mana bin Khalifa Al Maktoum as a strategic investor and chairman of the board of directors. The company is dedicated to bringing carbon-reducing technologies to the Middle East and North Africa region. Melbourne-based fintech tikpay secures AU$1.6 million Australian fintech startup tikpay has secured AU$1.6 million in a Pre-Seed funding round to launch its innovative account-based ticketing (ABT) and payments platform, aiming to disrupt traditional transport ticketing models. The round was led by AfterWork Ventures and Black Nova VC, with participation from Investible, Func Ventures, Metagrove Ventures, and two industry insiders. Galvanize Climate Solutions closes over $1 billion for First Venture and Growth Equity Fund Galvanize Climate Solutions has successfully closed its Innovation + Expansion Fund at over $1 billion, making it one of the largest climate venture funds raised to date. The fund garnered commitments from a diverse group of institutional investors, including endowments, foundations, and family offices. Global Sisters secures $1m+ in funding Global Sisters has introduced a program offering three years of free and tailored business support to solo mums receiving government payments, with the aim of helping them thrive in business and achieve financial independence. The AMP Foundation has contributed over $1 million to support women who face structural and systemic barriers to economic participation. Keep up to date with our stories on LinkedIn , Twitter , Facebook and Instagram . What do you think?
NVIDIA Frequently Asked Questions (FAQ)
When was NVIDIA founded?
NVIDIA was founded in 1993.
Where is NVIDIA's headquarters?
NVIDIA's headquarters is located at 2788 San Tomas Expressway, Santa Clara.
What is NVIDIA's latest funding round?
NVIDIA's latest funding round is PIPE - IV.
How much did NVIDIA raise?
NVIDIA raised a total of $12.6M.
Who are the investors of NVIDIA?
Investors of NVIDIA include Woodstock, CIBC World Markets, Alpine Woods Investments, Citron Research, SoftBank and 7 more.
Who are NVIDIA's competitors?
Competitors of NVIDIA include Natural Intelligence, TensTorrent, LeddarTech, SiMa.ai, Analog Inference, Betterdata, Cornami, Ghost Autonomy, Chain Reaction, GrAI Matter Labs and 42 more.
- Predict emerging trends
- See competitors' playbooks
- Stalk the smart money
- Identify tomorrow's challengers
- Spot growing industries
- Kill analyst data work
Compare NVIDIA to Competitors
TensTorrent develops artificial intelligence (AI) processors for machine learning workloads. It develops processor application-specific integrated circuits (ASICs), specifically engineered for deep learning and smart hardware. The company's processor is designed to excel at both learning and inference. It was founded in 2016 and is based in Toronto, Canada.
Mythic develops a local artificial intelligence (AI) platform. It offers solutions for smart cities and spaces, intelligent machines and robots, smart homes, metaverse, drones, and aerospace industries. The company was formerly known as Isocline Engineering. The company was founded in 2012 and is based in Austin, Texas.
Groq designs the Tensor Streaming Processor (TSP) architecture-based chip. It is a single enormous processor that has hundreds of functional units. Its architecture reduces instruction-decoding overhead and handles integer and floating-point data. It was founded in 2016 and is based in Mountain View, California.
Graphcore provides artificial intelligence (AI) systems and services for organizations to build, train and deploy models in the cloud using infrastructure processing unit (IPU) hardware. It offers products such as cloud infrastructure processing units, data center infrastructure processing units, bow infrastructure processing units, and more. The company serves the finance, biotech, scientific research, and consumer internet sectors. It was founded in 2016 and is based in Bristol, United Kingdom.
Blaize provides a software platform to span the complete edge artificial intelligence (AI) operational workflow from idea to deployed application. It optimizes artificial intelligence (AI) with the location of data. The platform collects and processes data from the edge to the core, with a focus on automotive, smart vision, and enterprise computing markets. It was formally known as ThinCI. It was founded in 2010 and is based in El Dorado Hills, California.
Cerebras is a computer systems company dedicated to accelerating deep learning. The Wafer-Scale Engine (WSE), is at the heart of the deep learning system, the Cerebras CS-1. The WSE delivers more computing more memory, and more communication bandwidth. This enables AI research at high speeds and scale.
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