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Nvidia

American multinational technology company

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Record originEnglish Wikipedia
Text licenseCC BY-SA 4.0
Source revisionSep 22, 2026
Entity authorityQ182477
Source-derived summary

Nvidia Corporation ( en-VID-ee-ə) is an American multinational technology company headquartered in Santa Clara, California. The company develops graphics processing units (GPUs), systems on chips (SoCs), and application programming interfaces (APIs) for data science, high-performance computing, artificial intelligence (AI), and mobile and automotive applications. Founded in 1993 by Jensen Huang, Chris Malachowsky, and Curtis Priem, Nvidia has been widely described as a Big Tech company.

Originally focused on GPUs for video games, Nvidia broadened their usage into other markets, including AI, professional visualization, and supercomputing. The company's product lines include GeForce GPUs for gaming and creative workloads, and professional GPUs for edge computing, scientific research, and industrial applications. In 2025, Nvidia became the first company to surpass US$4 trillion and US$5 trillion in market capitalization, largely driven by the AI boom and soaring demand for its AI data center hardware.

History

Founding

Nvidia was founded on April 5, 1993, by Jensen Huang, a Taiwanese-American electrical engineer who was previously the director of CoreWare at LSI Logic and a microprocessor designer at AMD, Chris Malachowsky, an engineer who worked at Sun Microsystems, and Curtis Priem, who was previously a senior staff engineer and graphics chip designer at IBM and Sun Microsystems. In late 1992, the three men agreed to start the company by sketching out their initial ideas in a meeting at a Denny's roadside diner on Berryessa Road in East San Jose.

At the time, Malachowsky and Priem were frustrated with Sun's management and were looking to leave, but Huang was on "firmer ground", in that he was already running his own division at LSI. The three co-founders discussed a vision of the future for gaming and multimedia markets, which was so compelling that Huang decided to leave LSI and become the chief executive officer of their new startup.

The three co-founders envisioned 3D graphics-based processing as the best trajectory for tackling challenges that had eluded general-purpose computing methods.

Editorial summary

This brief starts where responsible research should: with the source description of “Nvidia” as american multinational technology company. Everything that follows is an evidence route, not borrowed authority.

Editorial reviewUseful for establishing the present vocabulary of the subject while preserving a route back to the evidence on which that vocabulary rests. The current lead gives the account dated anchors—1993, 2025, 1992—that can be checked directly. The linked authority record independently contributes the date 1993-04-05. The account is most persuasive where Nvidia, American and multinational can be independently traced.
Editorial analysis

Why this record matters

The subject matters to the science & nature register because the source frames it as american multinational technology company. Its deeper value depends on whether names, dates, institutions and citations support that framing.

Evidence profile

The date and method of observation matter as much as the stated conclusion, especially where classification or consensus has changed. The source revision retrieved here is dated Sep 22, 2026. The linked authority identifier is Q182477. VIAF identifies the subject as 135222459. The Library of Congress control number is no2004070743. 3 of 6 selected statements include explicit references; 3 carry qualifiers and 1 use preferred rank. The first chronological checks are 1993, 2025 and 1992.

Critical limits

Current terminology should not be projected backward without checking the classification used when the underlying evidence was created. The lead is largely declarative, so disagreement and counter-evidence require a deliberate search beyond the opening account. Authority statements aid reconciliation but still require their own references, qualifiers and ranks to be checked.

How to read it

Check terminology, classification and the date of the cited evidence. Scientific names and technical consensus can change while older records retain historical value.

Best used for
  • Current terminology
  • Classification context
  • Finding cited technical literature
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Three-step research path

  1. Establish the record: confirm the title “Nvidia”, its source revision and the description used here.
  2. Expand the search: follow Nvidia primary sources, Nvidia archive and Nvidia research across catalogues and specialist indexes.
  3. Test the account: compare the strongest cited source with the responsible institution’s current record and note any disagreement.

Questions for further research

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Source & attribution

This entry incorporates text from Nvidia” on English Wikipedia. Contributors are listed in the page history. Text is available under the Creative Commons Attribution-ShareAlike 4.0 License. Selected authority identifiers and statements are retrieved from Wikidata under CC0; their references and qualifiers remain part of the verification path.