
NVIDIA
Founded Year
1993Stage
PIPE - III | IPOTotal Raised
$32.6MMarket Cap
4718.45BStock Price
193.80Revenue
$0000About NVIDIA
NVIDIA operates in accelerated computing, focusing on artificial intelligence(AI), high-performance computing, and graphics processing. The company provides products including graphics processing units (GPUs), AI platforms, and data center infrastructure for various applications. NVIDIA's solutions serve sectors such as gaming, creative design, autonomous vehicles, robotics, and edge computing. It was founded in 1993 and is based in Santa Clara, California.
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Research containing NVIDIA
Get data-driven expert analysis from the CB Insights Intelligence Unit.
CB Insights Intelligence Analysts have mentioned NVIDIA in 75 CB Insights research briefs, most recently on Nov 3, 2025.



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310+ AI companies transforming governmentExpert 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 13 Expert Collections, including Auto Tech.
Auto Tech
2,294 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
5,684 items
Gaming companies are defined as those developing technologies for the PC, console, mobile, and/or AR/VR video gaming market.
Grid and Utility
2,383 items
Companies that are developing and implementing new technologies to optimize the grid and utility sector. This includes, but is not limited to, distributed energy resources, infrastructure security, utility asset management, grid inspection, energy efficiency, grid storage, etc.
Semiconductors, Chips, and Advanced Electronics
7,494 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 6552 patents.
The 3 most popular patent topics include:
- artificial neural networks
- artificial intelligence
- machine learning

Application Date | Grant Date | Title | Related Topics | Status |
|---|---|---|---|---|
4/9/2020 | 4/8/2025 | Wireless networking, Radio electronics, Communication circuits, UMTS (telecommunication), Receiver (radio) | Grant |
Application Date | 4/9/2020 |
|---|---|
Grant Date | 4/8/2025 |
Title | |
Related Topics | Wireless networking, Radio electronics, Communication circuits, UMTS (telecommunication), Receiver (radio) |
Status | Grant |
Latest NVIDIA News
Nov 13, 2025
Digital Marketing Strategies for Small Businesses Table of Contents Initial Enthusiasm adn Conflicting Reports Monterrey, Mexico – November 12, 2024 – Recent days have seen considerable attention focused on the potential for a notable Nvidia presence in the Mexican state of Nuevo León. The initial excitement, fueled by announcements from state authorities, suggested a substantial billion-dollar investment in a new artificial intelligence data center. However, Nvidia has afterward offered a more nuanced perspective, prompting a re-evaluation of the scope of their involvement. The story gained momentum when Nuevo León Governor Samuel García publicly stated that Nvidia would be committing $1 billion to establish an AI data center within the state. Governor García described the prospective project as a pivotal moment,asserting that it would solidify Nuevo León’s position as a rising center for Artificial Intelligence. He further underscored the state’s dedication to cultivating innovation and attracting international capital. “We are positioning Nuevo león as a burgeoning hub for Artificial Intelligence.” Governor Samuel García From Investment to “Cooperation Initiative” These declarations where swiftly followed by clarifications from Nvidia, which characterized the arrangement not as a billion-dollar investment, but as a cooperation initiative . Representatives from the tech giant emphasized a collaborative approach with Nuevo León, centering on shared projects and advancements in AI technology. This distinction is crucial, as direct foreign investment carries different economic implications than collaborative research and development. The discrepancy sparked increased scrutiny from media outlets, with numerous reports highlighting the differing accounts. The situation underscores the importance of precise communication when announcing significant economic developments, especially in the rapidly evolving tech sector. For context,Mexico’s foreign direct investment (FDI) saw a 15% increase in the first half of 2024,reaching $28.7 billion USD, according to the Ministry of Economy, making accurate reporting on potential investments even more critical. Mexico’s AI Readiness and the Regional Competition The unfolding situation has also ignited a broader national conversation within Mexico regarding its preparedness for the accelerating advancements in artificial Intelligence. The country currently lags behind regional peers like Brazil and Chile in AI adoption, with only 12% of businesses reporting active AI implementation as of Q3 2024 (Source: Statista). Government officials are now advocating for stronger coordination between public and private entities to ensure Mexico remains competitive in the global AI landscape. This push for collaboration mirrors similar initiatives in other Latin American countries.For example,Colombia recently launched its “AI Strategy 2030,” aiming to increase AI talent by 50% and attract $1.5 billion in AI-related investment. The competition to become a regional AI leader is intensifying, and Nuevo león’s efforts to attract Nvidia are part of this broader trend. The Future of the Nvidia-nuevo León Relationship While the precise nature of the Nvidia-Nuevo León collaboration remains under development, it is evident that the state is proactively seeking to establish itself as a significant player in the AI industry. Weather this manifests as a substantial capital infusion or a series of strategic partnerships is yet to be resolute. “The arrangement is not a billion-dollar investment, but rather a ‘cooperation initiative. '” Nvidia Representative this evolving story highlights the increasing importance of AI and the growing rivalry among regions to attract both investment and skilled professionals in this vital field. The outcome of this collaboration will likely serve as a case study for other regions in Latin America looking to capitalize on the AI revolution. Share this:
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 - III.
How much did NVIDIA raise?
NVIDIA raised a total of $32.6M.
Who are the investors of NVIDIA?
Investors of NVIDIA include Woodstock, CIBC World Markets, Alpine Woods Investments, SoftBank, Sequoia Capital and 7 more.
Who are NVIDIA's competitors?
Competitors of NVIDIA include Cerebras, Groq, SiPearl, Tenstorrent, Graphcore and 7 more.
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Compare NVIDIA to Competitors

Samsung Semiconductor specializes in semiconductor solutions and operates in the technology sector. The company offers a portfolio including dynamic random access memory (DRAM), solid state drive (SSD)s, processors, image sensors, and display integrated circuit (IC)s. Samsung Semiconductor serves various sectors including consumer electronics, automotive, and networking. It was founded in 1974 and is based in San Jose, California.
Bridgecom Semiconductors provides wireless semiconductor solutions for the Internet of Things (IoT) market. The company offers cellular modem chipsets for various IoT applications, including low-power and integration solutions for smart metering, wearables, and smart city infrastructure. Bridgecom serves sectors such as automotive, industry IoT, wearable technology, personal computing, and smart city development. It was founded in 2022 and is based in Munich, Germany.

SambaNova Systems specializes in enterprise-scale artificial intelligence (AI) platforms and operates within the artificial intelligence and machine learning sectors. The company offers products designed for the development, training, and deployment of AI models, including generative AI and large language models. SambaNova's solutions cater to various sectors, such as the public sector and scientific research. It was founded in 2017 and is based in Palo Alto, California.

Cerebras focuses on Artificial Intelligence (AI) acceleration through its development of wafer-scale processors and supercomputers for different sectors. The company provides computing solutions that support deep learning, natural language processing, and other AI workloads. Cerebras serves industries including healthcare, scientific computing, and financial services with its AI supercomputers and model training services. It was founded in 2015 and is based in Sunnyvale, California.

FuriosaAI focuses on designing AI accelerators for the AI and computing industry. The company provides AI accelerators for large language models, multimodal applications, and computer vision, with a focus on AI inference performance in data centers. FuriosaAI serves sectors that require AI processing capabilities, including the enterprise and cloud computing industries. It was founded in 2017 and is based in Seoul, South Korea.

d-Matrix is focused on developing computing platforms for datacenter scale, with a particular emphasis on AI inference technology. The company offers Corsair™, a solution on improving performance for AI applications. d-Matrix serves sectors that require large-scale processing capabilities. It was founded in 2019 and is based in Santa Clara, California.
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