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Nvidia Corporation
NVIDIA
Company typePublic
IndustrySemiconductors
FoundedApril 5, 1993; 31 years ago (1993-04-05), in Sunnyvale, California, U.S
Founders
Headquarters,
U.S
Area served
Worldwide
Key people
RevenueIncrease US$60.92 billion (FY 2024)
Increase US$32.97 billion (FY 2024)
Increase US$29.76 billion (FY 2024)
Total assets Increase US$65.73 billion (FY 2024)
Total equityIncrease US$42.98 billion (FY 2024)
Number of employees
29,600 (FY 2024)
Subsidiaries
Websitenvidia.com
Footnotes / references
[1][2]

Nvidia Corporation[a] (/ɛnˈvɪdiə/ en-VID-ee-ə) is an American multinational corporation and technology company headquartered in Santa Clara, California, and incorporated in Delaware.[5] Founded in 1993 by Jensen Huang (president and CEO), Chris Malachowsky, and Curtis Priem, it is a software and fabless company which designs and supplies graphics processing units (GPUs), application programming interfaces (APIs) for data science and high-performance computing, as well as system on a chip units (SoCs) for mobile computing and the automotive market. Nvidia is also a dominant supplier of artificial intelligence (AI) hardware and software.[6][7][8]

Nvidia's professional line of GPUs are used for edge-to-cloud computing and in supercomputers and workstations for applications in fields such as architecture, engineering and construction, media and entertainment, automotive, scientific research, and manufacturing design.[9] Its GeForce line of GPUs are aimed at the consumer market and are used in applications such as video editing, 3D rendering, and PC gaming. With a market share of 80.2% in the second quarter of 2023,[10] Nvidia leads the market for discrete desktop GPUs by a wide margin. The company expanded its presence in the gaming industry with the introduction of the Shield Portable (a handheld game console), Shield Tablet (a gaming tablet), and Shield TV (a digital media player), as well as its cloud gaming service GeForce Now.[11]

In addition to GPU design and outsourcing manufacturing, Nvidia provides the CUDA software platform and API that allows the creation of massively parallel programs which utilize GPUs.[12][13] They are deployed in supercomputing sites around the world.[14][15] In the late 2000s, Nvidia had moved into the mobile computing market, where it produces Tegra mobile processors for smartphones and tablets as well as vehicle navigation and entertainment systems.[16][17][18] Its competitors include AMD, Intel,[19] Qualcomm,[20] and AI accelerator companies such as Cerebras and Graphcore. It also makes AI-powered software for audio and video processing (e.g., Nvidia Maxine).[21]

Nvidia's offer to acquire Arm from SoftBank in September 2020 failed to materialize following extended regulatory scrutiny, leading to the termination of the deal in February 2022 in what would have been the largest semiconductor acquisition.[22][23] In 2023, Nvidia became the seventh public U.S. company to be valued at over $1 trillion,[24] and the company's valuation has increased rapidly since then as the company became a leader in data center chips with AI capabilities in the midst of the AI boom.[25][26] In June 2024, for one day, Nvidia overtook Microsoft as the world's most valuable publicly traded company, with a market capitalization of over $3.3 trillion.[27]

History

[edit]

Founding

[edit]
The Denny's roadside diner in San Jose, California, in 2023, where Nvidia's three co-founders agreed to start the company in 1993
Nvidia's former headquarters which was home to the company through most of its pre-AI period (still in use)
Aerial view of Endeavor, the first of the two new Nvidia headquarters buildings, in Santa Clara, California, in 2017. Apple Park is visible in the distance.
Entrance of Endeavor headquarters building in 2018

Nvidia was founded on April 5, 1993,[28][29][30] by Jensen Huang (who, as of 2024, remains CEO), 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.[31][32] The three men agreed to start the company in a meeting at a Denny's roadside diner on Berryessa Road in East San Jose.[33][34][35]

At the time, Malachowsky and Priem were frustrated with Sun's management and were looking to leave, but Huang was on "firmer ground",[36] in that he was already running his own division at LSI.[34] The three co-founders discussed a vision of the future which was so compelling that Huang decided to leave LSI[36] and become the chief executive officer of their new startup.[34]

In 1993, the three co-founders envisioned that the ideal trajectory for the forthcoming wave of computing would be in the realm of accelerated computing, specifically in graphics-based processing. This path was chosen due to its unique ability to tackle challenges that eluded general-purpose computing methods.[36] As Huang later explained: "We also observed that video games were simultaneously one of the most computationally challenging problems and would have incredibly high sales volume. Those two conditions don’t happen very often. Video games was our killer app — a flywheel to reach large markets funding huge R&D to solve massive computational problems."[36] With $40,000 in the bank, the company was born.[36] The company subsequently received $20 million of venture capital funding from Sequoia Capital, Sutter Hill Ventures and others.[37]

During the late 1990s, Nvidia was one of 70 startup companies[38] chasing the idea that graphics acceleration for video games was the path to the future.[33] Only two survived: Nvidia and ATI Technologies, the latter of which merged into AMD.[33]

Nvidia initially had no name and the co-founders named all their files NV, as in "next version".[36] The need to incorporate the company prompted the co-founders to review all words with those two letters.[36] At one point, Malachowsky and Priem wanted to call the company NVision, but that name was already taken by a manufacturer of toilet paper.[34] Huang suggested the name Nvidia,[34] from "invidia", the Latin word for "envy".[36] The company's original headquarters office was in Sunnyvale, California.[36]

First graphics accelerator

[edit]

Nvidia's first graphics accelerator product, the NV1, was optimized for processing quadrilateral primitives (forward texture mapping) instead of the triangle primitives preferred by its competitors.[34] Then Microsoft introduced the DirectX platform, refused to support any other graphics software,[39] and also announced that its graphics software (Direct3D) would support only triangles.[34]

Nvidia also signed a contract with Sega to build the graphics chip for the Dreamcast video game console and worked on the project for a year.[40] Having bet on the wrong technology, Nvidia was confronted with a painful dilemma: keep working on its inferior chip for the Dreamcast even though it was already too far behind the competition, or stop working and run out of money right away.[40]

Eventually, Sega's president at the time, Shoichiro Irimajiri, came to visit Huang in person to deliver the news that Sega was going with another graphics chip vendor for the Dreamcast.[40] However, Irimajiri still believed in Huang, and "wanted to make Nvidia successful".[40] Despite Nvidia's disappointing failure to deliver on its contract, Irimajiri somehow managed to convince Sega's management to invest $5 million into Nvidia.[40] Years later, Huang explained that this was all the money Nvidia had left at the time, and that Irimajiri's "understanding and generosity gave us six months to live".[40]

In 1996, Huang laid off more than half of Nvidia's employees—then around 100—and focused the company's remaining resources on developing a graphics accelerator product optimized for processing triangle primitives: the RIVA 128.[34][39] By the time the RIVA 128 was released in August 1997, Nvidia was down to about 40 employees[33] and only had enough money left for about one month of payroll.[34] The sense of extreme desperation around Nvidia during this difficult era of its early history gave rise to "the unofficial company motto": "Our company is thirty days from going out of business".[34] Huang routinely began presentations to Nvidia staff with those words for many years.[34]

Nvidia sold about a million RIVA 128s in about four months[34] and used the revenue to develop its next generation of products.[39] In 1998, the release of the RIVA TNT solidified Nvidia's reputation for developing capable graphics adapters.[41]

Public company

[edit]

Nvidia went public on January 22, 1999.[42][43][44] Investing in Nvidia after it had already failed to deliver on its contract turned out to be Irimajiri's best decision as Sega's president. After Irimajiri left Sega in 2000, Sega sold its Nvidia stock for $15 million.[40]

In late 1999, Nvidia released the GeForce 256 (NV10), its first product expressly marketed as a GPU, which was most notable for introducing onboard transformation and lighting (T&L) to consumer-level 3D hardware. Running at 120 MHz and featuring four-pixel pipelines, it implemented advanced video acceleration, motion compensation, and hardware sub-picture alpha blending. The GeForce outperformed existing products by a wide margin.

Due to the success of its products, Nvidia won the contract to develop the graphics hardware for Microsoft's Xbox game console, which earned Nvidia a $200 million advance. However, the project took many of its best engineers away from other projects. In the short term this did not matter, and the GeForce2 GTS shipped in the summer of 2000. In December 2000, Nvidia reached an agreement to acquire the intellectual assets of its one-time rival 3dfx, a pioneer in consumer 3D graphics technology leading the field from the mid-1990s until 2000.[45][46] The acquisition process was finalized in April 2002.[47]

In 2001, Standard & Poor's selected Nvidia to replace the departing Enron in the S&P 500 stock index, meaning that index funds would need to hold Nvidia shares going forward.[48]

In July 2002, Nvidia acquired Exluna for an undisclosed sum. Exluna made software-rendering tools and the personnel were merged into the Cg project.[49] In August 2003, Nvidia acquired MediaQ for approximately US$70 million.[50] On April 22, 2004, Nvidia acquired iReady, also a provider of high-performance TCP offload engines and iSCSI controllers.[51] In December 2004, it was announced that Nvidia would assist Sony with the design of the graphics processor (RSX) for the PlayStation 3 game console. On December 14, 2005, Nvidia acquired ULI Electronics, which at the time supplied third-party southbridge parts for chipsets to ATI, Nvidia's competitor.[52] In March 2006, Nvidia acquired Hybrid Graphics.[53] In December 2006, Nvidia, along with its main rival in the graphics industry AMD (which had acquired ATI), received subpoenas from the U.S. Department of Justice regarding possible antitrust violations in the graphics card industry.[54]

2007–2014

[edit]

Forbes named Nvidia its Company of the Year for 2007, citing the accomplishments it made during the said period as well as during the previous five years.[55] On January 5, 2007, Nvidia announced that it had completed the acquisition of PortalPlayer, Inc.[56] In February 2008, Nvidia acquired Ageia, developer of PhysX, a physics engine and physics processing unit. Nvidia announced that it planned to integrate the PhysX technology into its future GPU products.[57][58]

In July 2008, Nvidia took a write-down of approximately $200 million on its first-quarter revenue, after reporting that certain mobile chipsets and GPUs produced by the company had "abnormal failure rates" due to manufacturing defects. Nvidia, however, did not reveal the affected products. In September 2008, Nvidia became the subject of a class action lawsuit over the defects, claiming that the faulty GPUs had been incorporated into certain laptop models manufactured by Apple Inc., Dell, and HP. In September 2010, Nvidia reached a settlement, in which it would reimburse owners of the affected laptops for repairs or, in some cases, replacement.[59][60] On January 10, 2011, Nvidia signed a six-year, $1.5 billion cross-licensing agreement with Intel, ending all litigation between the two companies.[61]

In November 2011, after initially unveiling it at Mobile World Congress, Nvidia released its ARM-based system on a chip for mobile devices, Tegra 3. Nvidia claimed that the chip featured the first-ever quad-core mobile CPU.[62][63] In May 2011, it was announced that Nvidia had agreed to acquire Icera, a baseband chip making company in the UK, for $367 million.[64] In January 2013, Nvidia unveiled the Tegra 4, as well as the Nvidia Shield, an Android-based handheld game console powered by the new system on a chip.[65] On July 29, 2013, Nvidia announced that they acquired PGI from STMicroelectronics.[66]

In February 2013, Nvidia announced its plans to build a new headquarters in the form of two giant triangle-shaped buildings on the other side of San Tomas Expressway (to the west of its existing headquarters complex). The company selected triangles as its design theme. As Huang explained in a blog post, the triangle is "the fundamental building block of computer graphics".[67]

In 2014, Nvidia ported the Valve games Portal and Half Life 2 to its Nvidia Shield tablet as Lightspeed Studio.[68][69] Since 2014, Nvidia has diversified its business focusing on three markets: gaming, automotive electronics, and mobile devices.[70]

That same year, Nvidia also prevailed in litigation brought by the trustee of 3dfx's bankruptcy estate to challenge its 2000 acquisition of 3dfx's intellectual assets. On November 6, 2014, in an unpublished memorandum order, the U.S. Court of Appeals for the Ninth Circuit affirmed the "district court's judgment affirming the bankruptcy court's determination that [Nvidia] did not pay less than fair market value for assets purchased from 3dfx shortly before 3dfx filed for bankruptcy".[71]

2016–2018

[edit]

On May 6, 2016, Nvidia unveiled the first GPUs of the GeForce 10 series, the GTX 1080 and 1070, based on the company's new Pascal microarchitecture. Nvidia claimed that both models outperformed its Maxwell-based Titan X model; the models incorporate GDDR5X and GDDR5 memory respectively, and use a 16 nm manufacturing process. The architecture also supports a new hardware feature known as simultaneous multi-projection (SMP), which is designed to improve the quality of multi-monitor and virtual reality rendering.[72][73][74] Laptops that include these GPUs and are sufficiently thin – as of late 2017, under 0.8 inches (20 mm) – have been designated as meeting Nvidia's "Max-Q" design standard.[75]

In July 2016, Nvidia agreed to a settlement for a false advertising lawsuit regarding its GTX 970 model, as the models were unable to use all of their advertised 4 GB of VRAM due to limitations brought by the design of its hardware.[76] In May 2017, Nvidia announced a partnership with Toyota which will use Nvidia's Drive PX-series artificial intelligence platform for its autonomous vehicles.[77] In July 2017, Nvidia and Chinese search giant Baidu announced a far-reaching AI partnership that includes cloud computing, autonomous driving, consumer devices, and Baidu's open-source AI framework PaddlePaddle. Baidu unveiled that Nvidia's Drive PX 2 AI will be the foundation of its autonomous-vehicle platform.[78]

Nvidia officially released the Titan V on December 7, 2017.[79][80]

Nvidia officially released the Nvidia Quadro GV100 on March 27, 2018.[81] Nvidia officially released the RTX 2080 GPUs on September 27, 2018. In 2018, Google announced that Nvidia's Tesla P4 graphic cards would be integrated into Google Cloud service's artificial intelligence.[82]

In May 2018, on the Nvidia user forum, a thread was started[83] asking the company to update users when they would release web drivers for its cards installed on legacy Mac Pro machines up to mid-2012 5,1 running the macOS Mojave operating system 10.14. Web drivers are required to enable graphics acceleration and multiple display monitor capabilities of the GPU. On its Mojave update info website, Apple stated that macOS Mojave would run on legacy machines with 'Metal compatible' graphics cards[84] and listed Metal compatible GPUs, including some manufactured by Nvidia.[85] However, this list did not include Metal compatible cards that currently work in macOS High Sierra using Nvidia-developed web drivers. In September, Nvidia responded, "Apple fully controls drivers for macOS. But if Apple allows, our engineers are ready and eager to help Apple deliver great drivers for macOS 10.14 (Mojave)."[86] In October, Nvidia followed this up with another public announcement, "Apple fully controls drivers for macOS. Unfortunately, Nvidia currently cannot release a driver unless it is approved by Apple,"[87] suggesting a possible rift between the two companies.[88] By January 2019, with still no sign of the enabling web drivers, Apple Insider weighed into the controversy with a claim that Apple management "doesn't want Nvidia support in macOS".[89] The following month, Apple Insider followed this up with another claim that Nvidia support was abandoned because of "relational issues in the past",[90] and that Apple was developing its own GPU technology.[91] Without Apple-approved Nvidia web drivers, Apple users are faced with replacing their Nvidia cards with a competing supported brand, such as AMD Radeon from the list recommended by Apple.[92]

2019 acquisition of Mellanox Technologies

[edit]
Nvidia Yokneam office (former Mellanox Technologies) in Yokneam Illit, Israel, March 2023

On March 11, 2019, Nvidia announced a deal to buy Mellanox Technologies for $6.9 billion[93] to substantially expand its footprint in the high-performance computing market. In May 2019, Nvidia announced new RTX Studio laptops. The creators say that the new laptop is going to be seven times faster than a top-end MacBook Pro with a Core i9 and AMD's Radeon Pro Vega 20 graphics in apps like Maya and RedCine-X Pro.[94] In August 2019, Nvidia announced Minecraft RTX, an official Nvidia-developed patch for the game Minecraft adding real-time DXR ray tracing exclusively to the Windows 10 version of the game. The whole game is, in Nvidia's words, "refit" with path tracing, which dramatically affects the way light, reflections, and shadows work inside the engine.[95]

2020–2023

[edit]

In May 2020, Nvidia announced it was acquiring Cumulus Networks.[96] Post acquisition the company was absorbed into Nvidia's networking business unit, along with Mellanox.

In May 2020, Nvidia's developed an open-source ventilator to address the shortage resulting from the global coronavirus pandemic.[97] On May 14, 2020, Nvidia officially announced their Ampere GPU microarchitecture and the Nvidia A100 GPU accelerator.[98][99] In July 2020, it was reported that Nvidia was in talks with SoftBank to buy Arm, a UK-based chip designer, for $32 billion.[100]

On September 1, 2020, Nvidia officially announced the GeForce 30 series based on the company's new Ampere microarchitecture.[101][102]

On September 13, 2020, Nvidia announced that they would buy Arm from SoftBank Group for $40 billion, subject to the usual scrutiny, with the latter retaining a 10% share of Nvidia.[103][104][105][106]

Nvidia GeForce RTX 2080 Ti, part of the RTX 20 series, which is the first generation of Nvidia RTX

In October 2020, Nvidia announced its plan to build the most powerful computer in Cambridge, England. The computer, called Cambridge-1, launched in July 2021 with a $100 million investment and will employ AI to support healthcare research.[107][108] According to Jensen Huang, "The Cambridge-1 supercomputer will serve as a hub of innovation for the UK, and further the groundbreaking work being done by the nation's researchers in critical healthcare and drug discovery."[109]

Also in October 2020, along with the release of the Nvidia RTX A6000, Nvidia announced it is retiring its workstation GPU brand Quadro, shifting its product name to Nvidia RTX for future products and the manufacturing to be Nvidia Ampere architecture-based.[9]

In August 2021, the proposed takeover of Arm was stalled after the UK's Competition and Markets Authority raised "significant competition concerns".[110] In October 2021, the European Commission opened a competition investigation into the takeover. The Commission stated that Nvidia's acquisition could restrict competitors' access to Arm's products and provide Nvidia with too much internal information on its competitors due to their deals with Arm. SoftBank (the parent company of Arm) and Nvidia announced in early February 2022 that they "had agreed not to move forward with the transaction 'because of significant regulatory challenges'".[111] The investigation is set to end on March 15, 2022.[112][113] That same month, Nvidia was reportedly compromised by a cyberattack.[114]

In March 2022, Nvidia's CEO Jensen Huang mentioned that they are open to having Intel manufacture their chips in the future.[115] This was the first time the company mentioned that they would work together with Intel's upcoming foundry services.

In April 2022, it was reported that Nvidia planned to open a new research center in Yerevan, Armenia.[116]

In May 2022, Nvidia opened Voyager, the second of the two giant buildings at its new headquarters complex to the west of the old one. Unlike its smaller and older sibling Endeavor, the triangle theming is used more "sparingly" in Voyager.[117][118]

In September 2022, Nvidia announced its next-generation automotive-grade chip, Drive Thor.[119][120]

In September 2022, Nvidia announced a collaboration with the Broad Institute of MIT and Harvard related to the entire suite of Nvidia's AI-powered healthcare software suite called Clara, that includes Parabricks and MONAI.[121]

Following U.S. Department of Commerce regulations which placed an embargo on exports to China of advanced microchips, which went into effect in October 2022, Nvidia saw its data center chip added to the export control list. The next month, the company unveiled a new advanced chip in China, called the A800 GPU, that met the export control rules.[122]

In September 2023, Getty Images announced that it was partnering with Nvidia to launch Generative AI by Getty Images, a new tool that lets people create images using Getty's library of licensed photos. Getty will use Nvidia's Edify model, which is available on Nvidia's generative AI model library Picasso.[123]

On September 26, 2023, Denny's CEO Kelli Valade joined Huang in East San Jose to celebrate the founding of Nvidia at Denny's on Berryessa Road, where a plaque was installed to mark the relevant corner booth as the birthplace of a $1 trillion company.[34][124] By then, Nvidia's H100 GPUs were in such demand that even other tech giants were beholden to how Nvidia allocated supply. Larry Ellison of Oracle Corporation said that month that during a dinner with Huang at Nobu in Palo Alto, he and Elon Musk of Tesla, Inc. and xAI "were begging" for H100s, "I guess is the best way to describe it. An hour of sushi and begging".[125]

In October 2023, it was reported that Nvidia had quietly begun designing ARM-based central processing units (CPUs) for Microsoft's Windows operating system with a target to start selling them in 2025.[126]

2024

[edit]

In January 2024, Forbes reported that Nvidia has increased its lobbying presence in Washington, D.C. as American lawmakers consider proposals to regulate artificial intelligence. From 2023 to 2024, the company reportedly hired at least four government affairs with professional backgrounds at agencies including the United States Department of State and the Department of the Treasury. It was noted that the $350,000 spent by the company on lobbying in 2023 was small compared to a number of major tech companies in the artificial intelligence space.[127]

As of January 2024, Raymond James Financial analysts estimated that Nvidia was selling the H100 GPU in the price range of $25,000 to $30,000 each, while on eBay, individual H100s cost over $40,000.[128] Tech giants were purchasing tens or hundreds of thousands of GPUs for their data centers to run generative artificial intelligence projects; simple arithmetic implied that they were committing to billions of dollars in capital expenditures.[128]

In February 2024, it was reported that Nvidia was the "hot employer" in Silicon Valley because it was offering interesting work and good pay at a time when other tech employers were downsizing. Half of Nvidia employees earned over $228,000 in 2023.[129] By then, Nvidia GPUs had become so valuable that they needed special security while in transit to data centers. Cisco chief information officer Fletcher Previn explained at a CIO summit: "Those GPUs arrive by armored car".[130]

On March 1, 2024, Nvidia became the third company in the history of the United States to close with a market capitalization in excess of $2 trillion.[48] Nvidia needed only 180 days to get to $2 trillion from $1 trillion, while the first two companies, Apple and Microsoft, each took over 500 days.[48] On March 18, Nvidia announced its new AI chip and microarchitecture Blackwell, named after mathematician David Blackwell.[131]

In April 2024, Reuters reported that China had allegedly acquired banned Nvidia chips and servers from Supermicro and Dell via tenders.[132]

PNY Nvidia Quadro P1000

In June 2024, the Federal Trade Commission (FTC) and the Justice Department (DOJ) began antitrust investigations into Nvidia, Microsoft and OpenAI, focusing on their influence in the AI industry. The FTC led the investigations into Microsoft and OpenAI, while the DOJ handled Nvidia. The probes centered on the companies' conduct rather than mergers. This development followed an open letter from OpenAI employees expressing concerns about the rapid AI advancements and lack of oversight.[133]

The company became the world's most valuable, surpassing Microsoft and Apple, on June 18, 2024, after its market capitalization exceeded $3.3 trillion.[134] [135]

In June 2024, Trend Micro announced a partnership with Nvidia to develop AI-driven security tools, notably to protect the data centers where AI workloads are processed. This collaboration integrates Nvidia NIM and Nvidia Morpheus with Trend Vision One and its Sovereign and Private Cloud solutions to improve data privacy, real-time analysis, and rapid threat mitigation.[136]

Nvidia introduced a family of open-source multimodal large language models in October 2024 called NVLM 1.0, which features a flagship version with 72 billion parameters, designed to improve text-only performance after multimodal training.[137][138]

In November 2024, the company was added to the Dow Jones Industrial Average.[139][140]

In November 2024, Morgan Stanley reported that "the entire 2025 production" of all of Nvidia's Blackwell chips was "already sold out".[141]

Also in November 2024, the company made an investment in Nebius Group.[142][143]

Fabless manufacturing

[edit]

Nvidia uses external suppliers for all phases of manufacturing, including wafer fabrication, assembly, testing, and packaging. Nvidia thus avoids most of the investment and production costs and risks associated with chip manufacturing, although it does sometimes directly procure some components and materials used in the production of its products (e.g., memory and substrates). Nvidia focuses its own resources on product design, quality assurance, marketing, and customer support.[144][145]

Corporate affairs

[edit]
Sales by business unit (2023)[146]
Business unit Sales (billion $) Share
Compute & networking 47.4 77.8%
Graphics 13.5 22.2%
Sales by region (2023)[146]
Region Sales (billion $) Share
United States 27.0 44.3%
Taiwan 13.4 22.0%
China 10.3 16.9%
Other countries 10.2 16.8%

Leadership

[edit]

Nvidia's key management as of March 2024 consists of:[147]

  • Jensen Huang, founder, president and chief executive officer
  • Chris Malachowsky, founder and Nvidia fellow
  • Colette Kress, executive vice president and chief financial officer
  • Jay Puri, executive vice president of worldwide field operations
  • Debora Shoquist, executive vice president of operations
  • Tim Teter, executive vice president, general counsel and secretary

Board of directors

[edit]

As of November 2024, the company's board consisted of the following directors:[148]

Finances

[edit]
Nvidia stock price (1999–2023)
10-year financials (2014–2023)
Year Revenue
(mil. US$)
Net income
(mil. US$)
Employees
2014 4,682 631 6,384
2015 5,010 614 9,227
2016 6,910 1,666 10,299
2017 9,714 3,047 11,528
2018 11,716 4,141 13,277
2019 10,918 2,796 13,775
2020 16,675 4,332 18,975
2021 26,914 9,752 22,473
2022 26,974 4,368 26,000
2023 60,922 29,760 29,600

For the fiscal year 2020, Nvidia reported earnings of US$2.796 billion, with an annual revenue of US$10.918 billion, a decline of 6.8% over the previous fiscal cycle. Nvidia's shares traded at over $531 per share, and its market capitalization was valued at over US$328.7 billion in January 2021. As of late Q3 2024, Nvidia's market cap is around US$2.98 trillion. [149][150]

For the Q2 of 2020, Nvidia reported sales of $3.87 billion, which was a 50% rise from the same period in 2019. The surge in sales and people's higher demand for computer technology. According to the financial chief of the company, Colette Kress, the effects of the pandemic will "likely reflect this evolution in enterprise workforce trends with a greater focus on technologies, such as Nvidia laptops and virtual workstations, that enable remote work and virtual collaboration."[151] In May 2023, Nvidia crossed $1 trillion in market valuation during trading hours,[152] and grew to $1.2 trillion by the following November.[153] For its strength, size and market capitalization, Nvidia has been selected to be one of Bloomberg's "Magnificent Seven", the seven biggest companies on the stock market in these regards.

Ownership

[edit]

The 10 largest shareholders of Nvidia in early 2024 were:[146]

GPU Technology Conference

[edit]

Nvidia's GPU Technology Conference (GTC) is a series of technical conferences held around the world.[154] It originated in 2009 in San Jose, California, with an initial focus on the potential for solving computing challenges through GPUs.[155] In recent years, the conference's focus has shifted to various applications of artificial intelligence and deep learning; including self-driving cars, healthcare, high-performance computing, and Nvidia Deep Learning Institute (DLI) training.[156] GTC 2018 attracted over 8400 attendees.[154] GTC 2020 was converted to a digital event and drew roughly 59,000 registrants.[157] After several years of remote-only events, GTC in March 2024 returned to an in-person format in San Jose, California.[158]

Product families

[edit]
A Shield Tablet with its accompanying input pen (left) and gamepad

Nvidia's product families include graphics processing units, wireless communication devices, and automotive hardware and software, such as:

  • GeForce, consumer-oriented graphics processing products
  • RTX, professional visual computing graphics processing products (replacing GTX and Quadro)
  • NVS, a multi-display business graphics processor
  • Tegra, a system on a chip series for mobile devices
  • Tesla, line of dedicated general-purpose GPUs for high-end image generation applications in professional and scientific fields
  • nForce, a motherboard chipset created by Nvidia for Intel (Celeron, Pentium and Core 2) and AMD (Athlon and Duron) microprocessors
  • GRID, a set of hardware and services by Nvidia for graphics virtualization
  • Shield, a range of gaming hardware including the Shield Portable, Shield Tablet and Shield TV
  • Drive, a range of hardware and software products for designers and manufacturers of autonomous vehicles. The Drive PX-series is a high-performance computer platform aimed at autonomous driving through deep learning,[159] while Driveworks is an operating system for driverless cars.[160]
  • BlueField, a range of data processing units, initially inherited from their acquisition of Mellanox Technologies[161][162]
  • Datacenter/server class CPU, codenamed Grace, released in 2023[163][164]
  • DGX, an enterprise platform designed for deep learning applications
  • Maxine, a platform providing developers a suite of AI-based conferencing software[165]

Open-source software support

[edit]

Until September 23, 2013, Nvidia had not published any documentation for its advanced hardware,[166] meaning that programmers could not write free and open-source device driver for its products without resorting to reverse engineering.

Instead, Nvidia provides its own binary GeForce graphics drivers for X.Org and an open-source library that interfaces with the Linux, FreeBSD or Solaris kernels and the proprietary graphics software. Nvidia also provided but stopped supporting an obfuscated open-source driver that only supports two-dimensional hardware acceleration and ships with the X.Org distribution.[167]

The proprietary nature of Nvidia's drivers has generated dissatisfaction within free-software communities. In a 2012 talk, Linus Torvalds, in criticism of Nvidia's approach towards Linux, raised the finger and stated "Nvidia, fuck you."[168][169] Some Linux and BSD users insist on using only open-source drivers and regard Nvidia's insistence on providing nothing more than a binary-only driver as inadequate, given that competing manufacturers such as Intel offer support and documentation for open-source developers and that others (like AMD) release partial documentation and provide some active development.[170][171]

Nvidia only provides x86/x64 and ARMv7-A versions of their proprietary driver; as a result, features like CUDA are unavailable on other platforms.[172] Some users claim that Nvidia's Linux drivers impose artificial restrictions, like limiting the number of monitors that can be used at the same time, but the company has not commented on these accusations.[173]

In 2014, with Maxwell GPUs, Nvidia started to require firmware by them to unlock all features of its graphics cards.[174][175][176]

On May 12, 2022, Nvidia announced that they are opensourcing their GPU kernel modules.[177][178][179] Support for Nvidia's firmware was implemented in nouveau in 2023, which allows proper power management and GPU reclocking for Turing and newer graphics card generations.[180][181]

Deep learning

[edit]

Nvidia GPUs are used in deep learning, and accelerated analytics due to Nvidia's CUDA software platform and API which allows programmers to utilize the higher number of cores present in GPUs to parallelize BLAS operations which are extensively used in machine learning algorithms.[13] They were included in many Tesla, Inc. vehicles before Musk announced at Tesla Autonomy Day in 2019 that the company developed its own SoC and full self-driving computer now and would stop using Nvidia hardware for their vehicles.[182][183] These GPUs are used by researchers, laboratories, tech companies and enterprise companies.[184] In 2009, Nvidia was involved in what was called the "big bang" of deep learning, "as deep-learning neural networks were combined with Nvidia graphics processing units (GPUs)".[185] That year, the Google Brain team used Nvidia GPUs to create deep neural networks capable of machine learning, where Andrew Ng determined that GPUs could increase the speed of deep learning systems by about 100 times.[186]

DGX

[edit]

DGX is a line of supercomputers by Nvidia.

In April 2016, Nvidia produced the DGX-1 based on an 8 GPU cluster, to improve the ability of users to use deep learning by combining GPUs with integrated deep learning software.[187] Nvidia gifted its first DGX-1 to OpenAI in August 2016 to help it train larger and more complex AI models with the capability of reducing processing time from six days to two hours.[188][189] It also developed Nvidia Tesla K80 and P100 GPU-based virtual machines, which are available through Google Cloud, which Google installed in November 2016.[190] Microsoft added GPU servers in a preview offering of its N series based on Nvidia's Tesla K80s, each containing 4992 processing cores. Later that year, AWS's P2 instance was produced using up to 16 Nvidia Tesla K80 GPUs. That month Nvidia also partnered with IBM to create a software kit that boosts the AI capabilities of Watson,[191] called IBM PowerAI.[192][193] Nvidia also offers its own Nvidia Deep Learning software development kit.[194] In 2017, the GPUs were also brought online at the Riken Center for Advanced Intelligence Project for Fujitsu.[195] The company's deep learning technology led to a boost in its 2017 earnings.[196]

In May 2018, researchers at the artificial intelligence department of Nvidia realized the possibility that a robot can learn to perform a job simply by observing the person doing the same job. They have created a system that, after a short revision and testing, can already be used to control the universal robots of the next generation. In addition to GPU manufacturing, Nvidia provides parallel processing capabilities to researchers and scientists that allow them to efficiently run high-performance applications.[197]

Robotics

[edit]

In 2020, Nvidia unveiled "Omniverse", a virtual environment designed for engineers.[198] Nvidia also open-sourced Isaac Sim, which makes use of this Omniverse to train robots through simulations that mimic the physics of the robots and the real world.[199][200]

In 2024, Huang oriented Nvidia's focus towards humanoid robots and self-driving cars, which he expects to gain widespread adoption.[201][202]

Inception Program

[edit]

Nvidia's Inception Program was created to support startups making exceptional advances in the fields of artificial intelligence and data science. Award winners are announced at Nvidia's GTC Conference. In May 2017, the program had 1,300 companies.[203] As of March 2018, there were 2,800 startups in the Inception Program.[204] As of August 2021, the program has surpassed 8,500 members in 90 countries, with cumulative funding of US$60 billion.[205]

Controversies

[edit]

Maxwell advertising dispute

[edit]

GTX 970 hardware specifications

[edit]

Issues with the GeForce GTX 970's specifications were first brought up by users when they found out that the cards, while featuring 4 GB of memory, rarely accessed memory over the 3.5 GB boundary. Further testing and investigation eventually led to Nvidia issuing a statement that the card's initially announced specifications had been altered without notice before the card was made commercially available, and that the card took a performance hit once memory over the 3.5 GB limit were put into use.[206][207][208]

The card's back-end hardware specifications, initially announced as being identical to those of the GeForce GTX 980, differed in the amount of L2 cache (1.75 MB versus 2 MB in the GeForce GTX 980) and the number of ROPs (56 versus 64 in the 980). Additionally, it was revealed that the card was designed to access its memory as a 3.5 GB section, plus a 0.5 GB one, access to the latter being 7 times slower than the first one.[209] The company then went on to promise a specific driver modification in order to alleviate the performance issues produced by the cutbacks suffered by the card.[210] However, Nvidia later clarified that the promise had been a miscommunication and there would be no specific driver update for the GTX 970.[211] Nvidia claimed that it would assist customers who wanted refunds in obtaining them.[212] On February 26, 2015, Nvidia CEO Jen-Hsun Huang went on record in Nvidia's official blog to apologize for the incident.[213] In February 2015 a class-action lawsuit alleging false advertising was filed against Nvidia and Gigabyte Technology in the U.S. District Court for Northern California.[214][215]

Nvidia revealed that it is able to disable individual units, each containing 256 KB of L2 cache and 8 ROPs, without disabling whole memory controllers.[216] This comes at the cost of dividing the memory bus into high speed and low speed segments that cannot be accessed at the same time unless one segment is reading while the other segment is writing because the L2/ROP unit managing both of the GDDR5 controllers shares the read return channel and the write data bus between the two GDDR5 controllers and itself.[216] This is used in the GeForce GTX 970, which therefore can be described as having 3.5 GB in its high speed segment on a 224-bit bus and 0.5 GB in a low speed segment on a 32-bit bus.[216]

On July 27, 2016, Nvidia agreed to a preliminary settlement of the U.S. class action lawsuit,[214] offering a $30 refund on GTX 970 purchases. The agreed upon refund represents the portion of the cost of the storage and performance capabilities the consumers assumed they were obtaining when they purchased the card.[217]

GeForce Partner Program

[edit]

The Nvidia GeForce Partner Program was a marketing program designed to provide partnering companies with benefits such as public relations support, video game bundling, and marketing development funds.[218] The program proved to be controversial, with complaints about it possibly being an anti-competitive practice.[219]

First announced in a blog post on March 1, 2018,[220] it was canceled on May 4, 2018.[221]

Hardware Unboxed

[edit]

On December 10, 2020, Nvidia told YouTube tech reviewer Steven Walton of Hardware Unboxed that it would no longer supply him with GeForce Founders Edition graphics card review units.[222][223] In a Twitter message, Hardware Unboxed said, "Nvidia have officially decided to ban us from receiving GeForce Founders Edition GPU review samples. Their reasoning is that we are focusing on rasterization instead of ray tracing. They have said they will revisit this 'should your editorial direction change.'"[224]

In emails that were disclosed by Walton from Nvidia Senior PR Manager Bryan Del Rizzo, Nvidia had said:

...your GPU reviews and recommendations have continued to focus singularly on rasterization performance, and you have largely discounted all of the other technologies we offer gamers. It is very clear from your community commentary that you do not see things the same way that we, gamers, and the rest of the industry do.[225]

TechSpot, partner site of Hardware Unboxed, said, "this and other related incidents raise serious questions around journalistic independence and what they are expecting of reviewers when they are sent products for an unbiased opinion."[225]

A number of technology reviewers came out strongly against Nvidia's move.[226][227] Linus Sebastian, of Linus Tech Tips, titled the episode of his weekly WAN Show, "NVIDIA might ACTUALLY be EVIL..."[228] and was highly critical of the company's move to dictate specific outcomes of technology reviews.[229] The review site Gamers Nexus said it was, "Nvidia's latest decision to shoot both its feet: They've now made it so that any reviewers covering RT will become subject to scrutiny from untrusting viewers who will suspect subversion by the company. Shortsighted self-own from NVIDIA."[230]

Two days later, Nvidia reversed their stance.[231][232] Hardware Unboxed sent out a Twitter message, "I just received an email from Nvidia apologizing for the previous email & they've now walked everything back."[233][226] On December 14, Hardware Unboxed released a video explaining the controversy from their viewpoint.[234] Via Twitter, they also shared a second apology sent by Nvidia's Del Rizzo that said "to withhold samples because I didn't agree with your commentary is simply inexcusable and crossed the line."[235][236]

Improper disclosures about cryptomining

[edit]

In 2018, Nvidia's chips became popular for cryptomining, the process of obtaining crypto rewards in exchange for verifying transactions on distributed ledgers, the U.S. Securities and Exchange Commission (SEC) said. However, the company failed to disclose that it was a "significant element" of its revenue growth from sales of chips designed for gaming, the SEC further added in a statement and charging order. Those omissions misled investors and analysts who were interested in understanding the impact of cryptomining on Nvidia's business, the SEC emphasized. Nvidia, which did not admit or deny the findings, has agreed to pay $5.5 million to settle civil charges, according to a statement made by the SEC in May 2022.[237]

See also

[edit]

Notes

[edit]
  1. ^ Officially written as NVIDIA and stylized in its logo as nVIDIA with the lowercase "n" the same height as the uppercase "VIDIA"; formerly stylized as nVIDIA with a large italicized lowercase "n" on products from the mid 1990s to early-mid 2000s.[3] The unofficial capitalization nVidia may be found within enthusiast communities and publications.[4]

References

[edit]
  1. ^ "US SEC: Form 10-K Nvidia Corporation". U.S. Securities and Exchange Commission. February 21, 2024. Archived from the original on February 21, 2024. Retrieved February 21, 2024.
  2. ^ "US SEC: EXHIBIT 21.1: List of Nvidia subsidiaries". U.S. Securities and Exchange Commission. February 24, 2023. Archived from the original on November 3, 2023. Retrieved November 3, 2023.
  3. ^ "NVIDIA Logo Guidelines at a Glance" (PDF). nvidia.com. Nvidia. Archived (PDF) from the original on October 9, 2022. Retrieved March 21, 2018.
  4. ^ Morgan, Timothy Prickett. "Microsoft, nVidia tag team on HPC". www.theregister.com. Archived from the original on April 7, 2022. Retrieved March 12, 2022.
  5. ^ "NVIDIA Corporation – Investor Resources – FAQs". investor.nvidia.com. Archived from the original on June 4, 2023. Retrieved December 31, 2017.
  6. ^ Enderle, Rob (January 18, 2022). "Why NVIDIA Has Become a Leader in the AI Market". Datamation. Archived from the original on May 29, 2022. Retrieved April 11, 2022.
  7. ^ Goldman, Sharon (February 23, 2023). "How Nvidia dominated AI — and plans to keep it that way as generative AI explodes". VentureBeat. Archived from the original on March 1, 2023. Retrieved March 1, 2023.
  8. ^ "Nvidia: The chip maker that became an AI superpower". May 25, 2023. Archived from the original on December 23, 2023. Retrieved January 2, 2024.
  9. ^ a b Smith, Ryan. "Quadro No More? NVIDIA Announces Ampere-based RTX A6000 & A40 Video Cards For Pro Visualization". www.anandtech.com. Archived from the original on October 5, 2020. Retrieved March 10, 2021.
  10. ^ Shilov, Anton (September 6, 2023). "GPU Market 'Healthy and vibrant' in Q2 2023: Report". Tom's Hardware. Archived from the original on March 14, 2024. Retrieved March 14, 2024.
  11. ^ Moore, Samuel K (September 7, 2023). "The Secret to Nvidia's AI Success". IEEE Spectrum. Archived from the original on November 3, 2023. Retrieved November 3, 2023.
  12. ^ "NVIDIA Doesn't Want Cryptocurrency Miners to Buy Its Gaming GPUs". MSN. Archived from the original on April 14, 2021. Retrieved April 5, 2021.
  13. ^ a b Kirk, David; Hwu, Wen-Mei (2017). Programming Massively Parallel Processors (Third ed.). Elsevier. p. 345. ISBN 978-0-12-811986-0.
  14. ^ Clark, Don (August 4, 2011). "J.P. Morgan Shows Benefits from Chip Change". WSJ Digits Blog. Archived from the original on September 5, 2019. Retrieved September 14, 2011.
  15. ^ "Top500 Supercomputing Sites". Top500. Archived from the original on December 12, 1998. Retrieved September 14, 2011.
  16. ^ Burns, Chris (August 3, 2011). "2011 The Year of Nvidia dominating Android Superphones and tablets". SlashGear. Archived from the original on October 29, 2020. Retrieved September 14, 2011.
  17. ^ "Tegra Super Tablets". Nvidia. Archived from the original on October 13, 2013. Retrieved September 14, 2011.
  18. ^ "Tegra Super Phones". Nvidia. Archived from the original on October 13, 2013. Retrieved September 14, 2011.
  19. ^ Jennewine, Trevor (January 15, 2021). "Why Intel's Competitive Edge Is Crumbling". The Motley Fool. Archived from the original on April 16, 2021. Retrieved April 16, 2021.
  20. ^ Neiger, Chris (January 26, 2021). "Better Buy: NVIDIA vs. Qualcomm". The Motley Fool. Archived from the original on April 16, 2021. Retrieved April 16, 2021.
  21. ^ "NVIDIA Maxine". Nvidia Corporation. October 2020. Archived from the original on April 6, 2023. Retrieved April 6, 2023.
  22. ^ Lyons, Kim (September 13, 2020). "Nvidia is acquiring Arm for $40 billion". The Verge. Archived from the original on April 9, 2021. Retrieved September 15, 2020.
  23. ^ Walters, Richard (February 7, 2022). "SoftBank's $66bn sale of chip group Arm to Nvidia collapses". Financial Times. Archived from the original on December 10, 2022. Retrieved February 8, 2022.
  24. ^ "Nvidia touches $1 trillion market cap as chipmaker rides AI wave". Yahoo Finance. May 30, 2023. Archived from the original on May 30, 2023. Retrieved February 17, 2024.
  25. ^ Hart, Robert. "Chip Stock Rally Continues Wednesday After AI Boom Catapults Nvidia To World's Most Valuable Company". Forbes. Retrieved August 26, 2024.
  26. ^ Duffy, Clare (February 21, 2024). "AI boom drove Nvidia profits up 580% last year". CNN. Retrieved August 26, 2024.
  27. ^ "Nvidia becomes most valuable company in the world, overtaking Microsoft".
  28. ^ "Company Info". Nvidia.com. Archived from the original on July 1, 2018. Retrieved November 9, 2010.
  29. ^ "Jensen Huang: Executive Profile & Biography". Bloomberg News. Archived from the original on June 22, 2018. Retrieved June 21, 2018.
  30. ^ Huang, Jen-Hsun (April 5, 1993). "Articles of Incorporation of NVidia Corporation". bizfile online. California Secretary of State. Retrieved October 11, 2024.
  31. ^ "NVIDIA Company History: Innovations Over the Years". NVIDIA. Archived from the original on March 9, 2024. Retrieved April 17, 2021.
  32. ^ "NVIDIA Corporation | History, Headquarters, & Facts". Encyclopedia Britannica. Archived from the original on April 26, 2021. Retrieved April 17, 2021.
  33. ^ a b c d Tilley, Aaron (November 30, 2016). "The New Intel: How Nvidia Went From Powering Video Games To Revolutionizing Artificial Intelligence". Forbes. Archived from the original on March 14, 2023. Retrieved March 14, 2023. This article was written by a Forbes staff member and was published in the December 19, 2016, issue of Forbes magazine.
  34. ^ a b c d e f g h i j k l m Witt, Stephen (November 27, 2023). "How Jensen Huang's Nvidia Is Powering the A.I. Revolution". The New Yorker. Archived from the original on November 27, 2023. Retrieved December 5, 2023.
  35. ^ Whitaker, Bill (April 28, 2024). "Meet Nvidia CEO Jensen Huang, the man behind the $2 trillion company powering today's artificial intelligence". 60 Minutes. Retrieved June 19, 2024.
  36. ^ a b c d e f g h i Nusca, Andrew (November 16, 2017). "This Man Is Leading an AI Revolution in Silicon Valley—And He's Just Getting Started". Fortune. Archived from the original on November 16, 2017. Retrieved November 28, 2017.
  37. ^ Williams, Elisa (April 15, 2002). "Crying wolf". Forbes. Archived from the original on November 29, 2020. Retrieved February 11, 2017. Huang, a chip designer at AMD and LSI Logic, co-founded the company in 1993 with $20 million from Sequoia Capital and others.
  38. ^ For a partial list, see List of defunct graphics chips and card companies
  39. ^ a b c Peddie, Jon (September 23, 2019). "Nvidia's RIVA 128". Electronic Design. Archived from the original on January 19, 2024. Retrieved December 5, 2023.
  40. ^ a b c d e f g Cohen, Ben (May 18, 2024). "The 84-Year-Old Man Who Saved Nvidia". The Wall Street Journal. Archived from the original on May 18, 2024.
  41. ^ Fulton, Kane (July 20, 2015). "19 graphics cards that shaped the future of gaming". TechRadar. Retrieved September 3, 2024.
  42. ^ Feinstein, Ken (January 22, 1999). "Nvidia Goes Public". gamecenter.co. Archived from the original on October 12, 1999. Retrieved July 13, 2019.
  43. ^ Takahashi, Dean (January 25, 1999). "Shares of Nvidia Surge 64% After Initial Public Offering". The Wall Street Journal. Archived from the original on April 5, 2019. Retrieved July 13, 2019.
  44. ^ "NVIDIA Corporation Announces Initial Public Offering of 3,500,000 Shares of Common Stock". nvidia.com. January 22, 1999. Archived from the original on July 13, 2019. Retrieved July 13, 2019.
  45. ^ Perez, Derek; Hara, Michael (December 15, 2000). "NVIDIA to Acquire 3dfx Core Graphics Assets" (Press release). Santa Clara, CA. Archived from the original on March 30, 2019. Retrieved January 23, 2017.
  46. ^ Leupp, Alex; Sellers, Scott (December 15, 2000). "3dfx Announces Three Major Initiatives To Protect Creditors and Maximize Shareholder Value" (Press release). San Jose, CA. Archived from the original on February 5, 2001. Retrieved January 23, 2017. Board of Directors Initiates Cost-Cutting Measures, Recommends to Shareholders Sale of Company Assets to NVIDIA Corporation for $112 million and Dissolution of Company
  47. ^ Kanellos, Michael (April 11, 2002). "Nvidia buys out 3dfx graphics chip business". CNET. Archived from the original on January 19, 2021. Retrieved January 23, 2017.
  48. ^ a b c Popina, Elena; Menton, Jess (March 6, 2024). "Nvidia Is the Latest Shiny Object to Spur Stocks to New Heights". Bloomberg Businessweek. Archived from the original on March 6, 2024. Retrieved March 6, 2024.
  49. ^ Becker, David. "Nvidia buys out Exluna". News.cnet.com. Archived from the original on October 17, 2014. Retrieved November 9, 2010.
  50. ^ "NVIDIA Completes Purchase of MediaQ". Press Release. NVIDIA Corporation. August 21, 2003. Archived from the original on January 9, 2014. Retrieved August 21, 2016.
  51. ^ "NVIDIA Announces Acquisition of iReady". Press Release. NVIDIA Corporation. April 22, 2004. Archived from the original on December 31, 2017. Retrieved August 21, 2016.
  52. ^ "NVIDIA to Acquire ULi Electronics, a Leading Developer of Core Logic Technology". Press Release. NVIDIA Corporation. December 14, 2005. Archived from the original on June 2, 2019. Retrieved August 21, 2016.
  53. ^ Smith, Tony (March 22, 2006). "Nvidia acquires Hybrid Graphics – Middleware purchase". Hardware. The Register. Archived from the original on January 16, 2013. Retrieved August 21, 2016.
  54. ^ Krazit, Tom; McCarthy, Caroline (December 1, 2006). "Justice Dept. subpoenas AMD, Nvidia". New York Times. Archived from the original on December 8, 2006.
  55. ^ Brian Caulfield (January 7, 2008). "Shoot to Kill". Forbes. Archived from the original on September 18, 2018. Retrieved December 26, 2007.
  56. ^ "Nvidia acquires PortalPlayer". Press Release. NVIDIA Corporation. January 5, 2007. Archived from the original on June 30, 2017. Retrieved August 21, 2016.
  57. ^ "Nvidia to acquire Ageia for the PhysX chip". CNET. Archived from the original on September 18, 2018. Retrieved May 26, 2017.
  58. ^ "Did NVIDIA cripple its CPU gaming physics library to spite Intel?". Ars Technica. July 9, 2010. Archived from the original on January 12, 2021. Retrieved May 26, 2017.
  59. ^ "Nvidia GPU Class-Action Settlement Offers Repairs, New Laptops". PC Magazine. Archived from the original on January 10, 2019. Retrieved May 26, 2017.
  60. ^ "Update: Nvidia Says Older Mobile GPUs, Chipsets Failing". ExtremeTech. July 3, 2008. Archived from the original on October 30, 2020. Retrieved May 26, 2017.
  61. ^ "Intel agrees to pay NVIDIA $1.5b in patent license fees, signs cross-license". Engadget. January 10, 2011. Archived from the original on December 17, 2018. Retrieved May 26, 2017.
  62. ^ "Nvidia Tegra 3: what you need to know". Techradar. November 9, 2011. Archived from the original on December 4, 2020. Retrieved May 26, 2017.
  63. ^ "Nvidia Quad Core Mobile Processors Coming in August". PC World. Archived from the original on July 29, 2016. Retrieved February 15, 2011.
  64. ^ "Cambridge coup as Icera goes to Nvidia for £225m". Business Weekly. May 9, 2011. Archived from the original on January 12, 2015. Retrieved May 10, 2011.
  65. ^ "Nvidia announces Project Shield handheld gaming system with 5-inch multitouch display, available in Q2 of this year". The Verge. January 7, 2013. Archived from the original on December 19, 2020. Retrieved May 26, 2017.
  66. ^ "NVIDIA Pushes Further into HPC With Portland Group Acquisition – insideHPC". insideHPC. July 29, 2013. Archived from the original on October 22, 2020. Retrieved August 25, 2017.
  67. ^ McMillan, Robert (February 20, 2013). "Nvidia Answers Apple Spaceship With Triangle Temple". Wired. Archived from the original on February 23, 2024. Retrieved February 24, 2024.
  68. ^ Machkovech, Sam (May 12, 2014). "Half-Life 2, Portal see first-ever Android ports on Nvidia Shield". Ars Technica. Archived from the original on July 8, 2022. Retrieved July 8, 2022.
  69. ^ "Nvidia CEO Jensen Huang weighs in on the metaverse, blockchain, and chip shortage". VentureBeat. June 12, 2021. Archived from the original on July 8, 2022. Retrieved July 8, 2022.
  70. ^ Team, Trefis (December 31, 2014). "Nvidia's Performance In 2014: Factors That Are Driving Growth". Forbes. Archived from the original on September 20, 2015. Retrieved October 7, 2020.
  71. ^ In re 3dfx Interactive, Inc., 585 F. App'x 626 (9th Cir. 2014).
  72. ^ "Nvidia's new graphics cards are a big deal". The Verge. May 7, 2016. Archived from the original on November 8, 2020. Retrieved May 26, 2017.
  73. ^ Mark Walton (May 7, 2016). "Nvidia's GTX 1080 and GTX 1070 revealed: Faster than Titan X at half the price". Ars Technica. Archived from the original on January 23, 2021. Retrieved June 14, 2017.
  74. ^ Joel Hruska (May 10, 2016). "Nvidia's Ansel, VR Funhouse apps will enhance screenshots, showcase company's VR technology". ExtremeTech. Archived from the original on November 28, 2020. Retrieved May 12, 2016.
  75. ^ Crider, Michael (October 5, 2017). "What Are NVIDIA MAX-Q Laptops?". How-To Geek. Archived from the original on November 28, 2020. Retrieved December 18, 2017.
  76. ^ Smith, Ryan. "Update: NVIDIA GeForce GTX 970 Settlement Claims Website Now Open". Anandtech. Purch, Inc. Archived from the original on November 12, 2020. Retrieved November 15, 2016.
  77. ^ Alexandria Sage (May 10, 2017). "Nvidia says Toyota will use its AI technology for self-driving cars". Reuters. Archived from the original on November 12, 2020. Retrieved July 2, 2017.
  78. ^ Vena, Danny (July 7, 2017). "NVIDIA and Baidu Join Forces in Far-Reaching AI Partnership". The Motley Fool. Archived from the original on November 27, 2020. Retrieved July 9, 2017.
  79. ^ Newsroom, NVIDIA. "NVIDIA TITAN V Transforms the PC into AI Supercomputer". NVIDIA Newsroom Newsroom. Archived from the original on November 9, 2020. Retrieved December 8, 2017. {{cite web}}: |last= has generic name (help)
  80. ^ "Introducing NVIDIA TITAN V: The World's Most Powerful PC Graphics Card". NVIDIA. Archived from the original on November 12, 2020. Retrieved December 8, 2017.
  81. ^ "News Archive". NVIDIA Newsroom. Archived from the original on April 21, 2021. Retrieved April 26, 2021.
  82. ^ "Google Cloud gets support for Nvidia's Tesla P4 inferencing accelerators". Tech Crunch. August 6, 2018. Archived from the original on November 28, 2020. Retrieved August 30, 2018.
  83. ^ May 10, 2018. 'When will the Nvidia Web Drivers be released for macOS Mojave 10.14' Archived April 3, 2021, at the Wayback Machine. Nvidia
  84. ^ Upgrade to macOS Mojave. Archived September 27, 2016, at the Wayback Machine Apple Computer
  85. ^ Install macOS 10.14 Mojave on Mac Pro (mid 2010) and Mac Pro (mid 2012) Archived November 30, 2020, at the Wayback Machine. Apple Computer
  86. ^ September 28, 2018. CUDA 10 and macOS 10.14 Archived January 23, 2021, at the Wayback Machine. Nvidia
  87. ^ October 18, 2018. FAQ about MacOS 10.14 (Mojave) NVIDIA drivers Archived March 4, 2020, at the Wayback Machine
  88. ^ Florian Maislinger. January 22, 2019. 'Apple and Nvidia are said to have a silent hostility' Archived September 29, 2020, at the Wayback Machine. PC Builders Club.
  89. ^ William Gallagher and Mike Wuerthele. January 18, 2019. 'Apple's management doesn't want Nvidia support in macOS, and that's a bad sign for the Mac Pro' Archived November 12, 2020, at the Wayback Machine
  90. ^ Vadim Yuryev. February 14, 2019. Video: Nvidia support was abandoned in macOS Mojave, and here's why Archived January 14, 2021, at the Wayback Machine. Apple Insider
  91. ^ Daniel Eran Dilger. April 4, 2017. 'Why Apple's new GPU efforts are a major disruptive threat to Nvidia' Archived November 27, 2020, at the Wayback Machine. Apple Insider
  92. ^ 'Install macOS 10.14 Mojave on Mac Pro (mid 2010) and Mac Pro (mid 2012)' Archived November 12, 2020, at the Wayback Machine Apple Inc.
  93. ^ "Nvidia to acquire Mellanox Technologies for about $7 billion in cash". www.cnbc.com. March 11, 2019. Archived from the original on November 8, 2020. Retrieved March 11, 2019.
  94. ^ Byford, Sam (May 27, 2019). "Nvidia announces RTX Studio laptops aimed at creators". The Verge. Archived from the original on January 16, 2021. Retrieved May 27, 2019.
  95. ^ "Minecraft with RTX: The World's Best Selling Videogame Is Adding Ray Tracing". www.nvidia.com. Archived from the original on December 13, 2020. Retrieved April 25, 2020.
  96. ^ "Nvidia acquires Cumulus Networks". Techcrunch. May 4, 2020. Archived from the original on December 2, 2023. Retrieved December 10, 2020.
  97. ^ "NVIDIA's top scientist develops open-source ventilator that can be built with $400 in readily-available parts". TechCrunch. May 2020. Archived from the original on April 3, 2021. Retrieved May 1, 2020.
  98. ^ "NVIDIA's New Ampere Data Center GPU in Full Production". NVIDIA Newsroom. Archived from the original on March 17, 2024. Retrieved March 3, 2024.
  99. ^ "NVIDIA A100 GPUs Power the Modern Data Center". NVIDIA. Archived from the original on January 16, 2021. Retrieved May 15, 2020.
  100. ^ Massoudi, Arash; Bradshaw, Tim; Fontanella-Khan, James (July 31, 2020). "Nvidia in talks to buy Arm from SoftBank for more than $32bn". Financial Times. Archived from the original on December 10, 2022. Retrieved July 3, 2020.
  101. ^ "NVIDIA Delivers Greatest-Ever Generational Leap with GeForce RTX 30 Series GPUs" (Press release). NVIDIA. September 1, 2020. Archived from the original on March 7, 2023. Retrieved August 5, 2021.
  102. ^ "GeForce RTX 30 Series Graphics Cards: The Ultimate Play". NVIDIA. September 1, 2020. Archived from the original on January 19, 2021. Retrieved August 5, 2021.
  103. ^ Moorhead, Patrick. "It's Official- NVIDIA Acquires Arm For $40B To Create What Could Be A Computing Juggernaut". Forbes. Archived from the original on February 3, 2021. Retrieved September 14, 2020.
  104. ^ Rosoff, Matt (September 13, 2020). "Nvidia to buy Arm Holdings from SoftBank for $40 billion". CNBC. Archived from the original on January 16, 2021. Retrieved September 13, 2020.
  105. ^ Arash Massoudi; Robert Smith; James Fontanella-Khan (September 12, 2020). "SoftBank set to sell UK's Arm Holdings to Nvidia for $40bn". Financial Times. Archived from the original on December 10, 2022. Retrieved September 12, 2020.
  106. ^ "NVIDIA to Acquire Arm for $40 Billion, Creating World's Premier Computing Company for the Age of AI". NVIDIA (Press release). September 13, 2020. Archived from the original on September 14, 2020. Retrieved November 21, 2020.
  107. ^ "NVIDIA Launches UK's Most Powerful Supercomputer, for Research in AI and Healthcare". nvidia.com. Archived from the original on December 20, 2023. Retrieved December 20, 2023.
  108. ^ Grover, Natalie (July 6, 2021). "UK supercomputer Cambridge-1 to hunt for medical breakthroughs". The Guardian. Archived from the original on December 20, 2023. Retrieved December 20, 2023.
  109. ^ Sam Shead (October 5, 2020). "Nvidia pledges to build Britain's largest supercomputer following $40 billion bid for Arm". CNBC. Archived from the original on January 17, 2021. Retrieved October 5, 2020.
  110. ^ Browne, Ryan (August 20, 2021). "Nvidia's $40 billion Arm takeover warrants an in-depth competition probe, UK regulator says". CNBC. Archived from the original on August 20, 2021. Retrieved August 20, 2021.
  111. ^ Wall, Robert (February 8, 2022). "Nvidia, SoftBank Call Off Blockbuster Arm Deal". The Wall Street Journal. Archived from the original on February 8, 2022. Retrieved February 8, 2022.
  112. ^ Porter, Jon; Clark, Mitchell (October 27, 2021). "EU opens formal investigation into Nvidia's Arm acquisition". The Verge. Archived from the original on October 28, 2021. Retrieved October 28, 2021.
  113. ^ Chee, Foo Yun (October 27, 2021). "Setback for Nvidia's $54 bln ARM bid as EU regulators open probe". Reuters. Archived from the original on October 28, 2021. Retrieved October 28, 2021.
  114. ^ Titcomb, James (February 25, 2022). "US microchip powerhouse Nvidia hit by cyber attack". The Telegraph. ISSN 0307-1235. Archived from the original on February 25, 2022. Retrieved February 25, 2022.
  115. ^ "Nvidia Considering Intel as a Foundry to Manufacture its GPUs". February 24, 2022. Archived from the original on August 9, 2022. Retrieved February 24, 2022.
  116. ^ "Tech Giant NVIDIA to Open Research Center in Armenia". Asbarez. April 7, 2022. Archived from the original on April 7, 2022. Retrieved April 7, 2022.
  117. ^ Shankland, Stephen (May 5, 2022). "Behold Nvidia's Giant New Voyager Building". CNET. Archived from the original on February 24, 2024. Retrieved February 24, 2024.
  118. ^ Thompson, Polly (November 19, 2023). "See inside Nvidia's giant 'Voyager' HQ — a futuristic office where work meets nature". Business Insider. Archived from the original on March 3, 2024. Retrieved February 24, 2024.
  119. ^ Holt, Kris (September 20, 2022). "NVIDIA reveals its next-gen chipset for autonomous vehicles". Engadget. Archived from the original on November 8, 2022. Retrieved November 8, 2022.
  120. ^ CORPORATION, NVIDIA (September 20, 2022). "NVIDIA Unveils DRIVE Thor — Centralized Car Computer Unifying Cluster, Infotainment, Automated Driving, and Parking in a Single, Cost-Saving System". GlobeNewswire News Room (Press release). Archived from the original on September 20, 2022. Retrieved September 20, 2022.
  121. ^ "The Broad Institute and NVIDIA Bring NVIDIA Clara to Terra Cloud Platform Serving 25,000 Researchers Advancing Biomedical Discovery". NVIDIA Newsroom. Retrieved July 11, 2024.
  122. ^ Lee, Jane Lanhee (November 7, 2022). "Exclusive: Nvidia offers new advanced chip for China that meets U.S. export controls". Reuters. Archived from the original on November 8, 2022. Retrieved November 8, 2022.
  123. ^ Emilia David (September 25, 2023). "Getty made an AI generator that only trained on its licensed images". Verge. Archived from the original on September 26, 2023. Retrieved September 26, 2023.
  124. ^ Takahashi, Dean (September 26, 2023). "Jensen Huang returns to Denny's where trillion-dollar company began". VentureBeat. Archived from the original on September 28, 2023. Retrieved September 28, 2023.
  125. ^ Fitch, Asa (February 26, 2024). "Nvidia's Stunning Ascent Has Also Made It a Giant Target". The Wall Street Journal. Archived from the original on February 27, 2024. Retrieved February 27, 2024.
  126. ^ Nellis, Stephen; Cherney, Max A. (October 24, 2023). "Exclusive: Nvidia to make Arm-based PC chips in major new challenge to Intel". Reuters. Archived from the original on October 24, 2023. Retrieved October 24, 2023.
  127. ^ Nieva, Richard (January 11, 2024). "Nvidia Is Quietly Ramping Up For A Delicate Dance In Washington". Forbes. Retrieved May 12, 2024.
  128. ^ a b Vanian, Jonathan (January 18, 2024). "Mark Zuckerberg indicates Meta is spending billions of dollars on Nvidia AI chips". CNBC. Retrieved June 6, 2024.
  129. ^ Bindley, Katherine; Ellis, Lindsay; Bousquette, Isabelle (February 26, 2024). "Booming Stock and Sky-High Pay: Nvidia Is Silicon Valley's Hot Employer". The Wall Street Journal. Archived from the original on February 27, 2024. Retrieved February 27, 2024.
  130. ^ Bousquette, Isabelle; Lin, Belle (February 14, 2024). "Armored Cars and Trillion Dollar Price Tags: How Some Tech Leaders Want to Solve the Chip Shortage". The Wall Street Journal. Retrieved May 30, 2024.
  131. ^ Weiss, Geoff (March 19, 2024). "Nvidia's CEO unveils the next AI chip that tech companies will be scrambling for — meet 'Blackwell'". Business Insider. Archived from the original on March 19, 2024. Retrieved March 19, 2024.
  132. ^ Baptista, Eduardo (April 23, 2024). "China acquired recently banned Nvidia chips in Super Micro, Dell servers, tenders show". Reuters. Archived from the original on April 24, 2024. Retrieved April 23, 2024.
  133. ^ "U.S. regulators to open antitrust probes into Nvidia, Microsoft and OpenAI". June 6, 2024. Archived from the original on June 9, 2024. Retrieved June 9, 2024.
  134. ^ Patnaik, Subrat; Reinicke, Carmen (June 18, 2024). "Nvidia Becomes World's Most Valuable Company as AI Rally Steams Ahead". Bloomberg. Retrieved June 18, 2024.
  135. ^ Prakash, Prarthana (June 21, 2024). "Nvidia single-handedly surpasses Europe's biggest stock markets as London Stock Exchange chief promises reform to refresh U.K.'s 'ambition'". Fortune.
  136. ^ McCann, Kristian (June 3, 2024). "How Nvidia's AI Chips will Power Trend Micro's Cybersecurity". AI magazine. Retrieved September 19, 2024.
  137. ^ Nunez, Michael (October 1, 2024). "Nvidia just dropped a bombshell: Its new AI model is open, massive, and ready to rival GPT-4". VentureBeat.
  138. ^ Basu, Swati (October 2, 2024). "Nvidia unveils its new NVLM 1.0 AI model, rivaling the likes of OpenAI's GPT-4". ReadWrite.
  139. ^ Bajwa, Arsheeya (November 1, 2024). "Nvidia to take Intel's spot on Dow Jones Industrial Average". Reuters. Retrieved November 3, 2024.
  140. ^ Leswing, Kif (November 1, 2024). "Nvidia to join Dow Jones Industrial Average, replacing rival chipmaker Intel". CNBC. Retrieved November 3, 2024.
  141. ^ Kahn, Jeremy (November 12, 2024). "60 direct reports, but no 1-on-1 meetings: How an unconventional leadership style helped Jensen Huang of Nvidia become one of the most powerful people in business". Fortune. Retrieved November 16, 2024.
  142. ^ Marrow, Alexander (December 2, 2024). "Nvidia among investors in $700 mln capital raise by AI firm Nebius Group". Reuters. London.
  143. ^ "Nebius Announces Oversubscribed Strategic Equity Financing of USD 700 Million to Accelerate Roll-out of Full-stack AI Infrastructure" (Press release). Business Wire. December 2, 2024.
  144. ^ "2023 NVIDIA Corporation Annual Review" (PDF). Nvidia. p. 8. Archived from the original (PDF) on March 2, 2024.
  145. ^ "Nvidia Value Chain Analysis". Research-Methodology. June 22, 2023. Archived from the original on March 3, 2024. Retrieved March 3, 2024.
  146. ^ a b c "NVIDIA Corporation: Shareholders Board Members Managers and Company Profile | US67066G1040 | MarketScreener". www.marketscreener.com. Archived from the original on July 3, 2023. Retrieved March 7, 2024.
  147. ^ "NVIDIA Corporation – Governance – Management Team". investor.nvidia.com. Archived from the original on December 3, 2023. Retrieved March 7, 2024.
  148. ^ "NVIDIA Corporation – Governance – Board of Directors". investor.nvidia.com. Archived from the original on December 4, 2023. Retrieved March 7, 2024.
  149. ^ "Google Finance - Stock Market Prices, Real-time Quotes & Business News".
  150. ^ "NVIDIA Corporation – Financial Info – Annual Reports and Proxies". investor.nvidia.com. Archived from the original on January 14, 2021. Retrieved November 18, 2018.
  151. ^ Armental, Maria (August 19, 2020). "Nvidia Posts Record Sales as Pandemic Sustains Demand for Gaming, Data-Center Chips". The Wall Street Journal. Archived from the original on August 20, 2020. Retrieved August 20, 2020.
  152. ^ Goswami, Rohan (May 30, 2023). "Nvidia crosses into $1 trillion market cap before giving back gains". CNBC. Archived from the original on May 30, 2023. Retrieved May 30, 2023.
  153. ^ Levy, Ari (November 20, 2023). "Nvidia stock closes at all-time high, a day before earnings". CNBC. Archived from the original on November 20, 2023. Retrieved November 20, 2023.
  154. ^ a b "GPU Technology Conference". GPU Technology Conference. Archived from the original on January 19, 2021. Retrieved September 7, 2021.
  155. ^ "Company History | NVIDIA". www.nvidia.com. Archived from the original on March 9, 2024. Retrieved September 7, 2021.
  156. ^ "Deep Learning and GPU-Programming Workshops at GTC 2021". NVIDIA. Archived from the original on August 27, 2021. Retrieved September 7, 2021.
  157. ^ "Deep Learning and GPU-Programming Workshops at GTC 2018". NVIDIA. March 2, 2020. Archived from the original on January 19, 2021. Retrieved March 2, 2020.
  158. ^ Caulfield, Brian (March 18, 2024). "'We Created a Processor for the Generative AI Era,' NVIDIA CEO Says". NVIDIA Blog. Archived from the original on March 29, 2024. Retrieved March 30, 2024.
  159. ^ "Nvidia automotive solutions". Nvidia. Archived from the original on October 4, 2017. Retrieved March 29, 2016.
  160. ^ "Nvidia unveils driverless car OS and partnership with TomTom". September 29, 2016. Archived from the original on September 18, 2018. Retrieved October 20, 2016.
  161. ^ "NVIDIA BlueField Data Processing Units". NVIDIA. Archived from the original on May 30, 2021. Retrieved May 29, 2021.
  162. ^ Deierling, Kevin (May 21, 2020). "What Is a DPU? | NVIDIA Blog". The Official NVIDIA Blog. Archived from the original on September 15, 2022. Retrieved May 29, 2021.
  163. ^ "NVIDIA Announces CPU for Giant AI and High Performance Computing Workloads" (Press release). NVIDIA. April 12, 2021. Archived from the original on August 5, 2021. Retrieved August 5, 2021.
  164. ^ "NVIDIA Grace CPU". NVIDIA. Archived from the original on August 5, 2021. Retrieved August 5, 2021.
  165. ^ Wiggers, Kyle (October 9, 2020). "AI Weekly: Nvidia's Maxine opens the door to deepfakes and bias in video calls". VentureBeat. Retrieved July 2, 2024.
  166. ^ "Nvidia Offers to Release Public Documentation on Certain Aspects of Their GPUs". September 23, 2013. Archived from the original on November 12, 2020. Retrieved September 24, 2013.
  167. ^ "nv". Archived from the original on November 12, 2020. Retrieved August 6, 2015.
  168. ^ Paul, Ryan (June 19, 2012). "Linus Torvalds says "f--k you" to NVIDIA". Ars Technica. Archived from the original on February 15, 2018. Retrieved March 2, 2024.
  169. ^ "Linus Torvalds: 'fuck you, Nvidia' for not supporting Linux". The Verge. June 17, 2012. Archived from the original on December 4, 2020. Retrieved July 9, 2013.
  170. ^ Corbet, Jonathon (August 14, 2006). "X.org, distributors, and proprietary modules". LWN.net. Archived from the original on September 21, 2019. Retrieved November 3, 2008.
  171. ^ An overview of graphic card manufacturers and how well they work with Ubuntu Ubuntu Gamer, January 10, 2011 (Article by Luke Benstead)
  172. ^ "Unix Drivers". Archived from the original on December 17, 2020. Retrieved August 6, 2015.
  173. ^ Kevin Parrish (October 3, 2013). "Nvidia Removed Linux Driver Feature Due to Windows". Tom's Hardware. Archived from the original on May 21, 2023. Retrieved August 6, 2015.
  174. ^ NVIDIA Begins Requiring Signed GPU Firmware Images Archived November 11, 2020, at the Wayback Machine, slashdot, September 27, 2014.
  175. ^ Linux-Firmware Adds Signed NVIDIA Firmware Binaries For Turing's Type-C Controller Archived January 7, 2021, at the Wayback Machine, phoronix, February 13, 2019.
  176. ^ The Open-Source NVIDIA "Nouveau" Driver Gets A Batch Of Fixes For Linux 5.3 Archived January 7, 2021, at the Wayback Machine, phoronix, July 19, 2019.
  177. ^ "NVIDIA Releases Open-Source GPU Kernel Modules". May 11, 2022. Archived from the original on May 12, 2022. Retrieved May 12, 2022.
  178. ^ "NVIDIA Transitioning to Official, Open-Source Linux GPU Kernel Driver". Archived from the original on May 12, 2022. Retrieved May 12, 2022.
  179. ^ "NVIDIA Linux Open GPU Kernel Module Source". GitHub. May 17, 2022. Archived from the original on May 12, 2022. Retrieved May 12, 2022.
  180. ^ "Nouveau NVIDIA GSP Firmware Support Merged For Linux 6.7". Phoronix. Archived from the original on March 2, 2024. Retrieved March 2, 2024.
  181. ^ Corbet, Jonathon. "A Nouveau graphics driver update". LWN.net. Archived from the original on March 2, 2024. Retrieved March 2, 2024.
  182. ^ "Nvidia's Self-Driving Vehicle Approach — from Tesla to DHL to Mercedes". CleanTechnica. August 13, 2020. Archived from the original on January 17, 2021. Retrieved October 28, 2020.
  183. ^ "Google Cloud adds NVIDIA Tesla K80 GPU support to boost deep learning performance – TechRepublic". February 22, 2017. Archived from the original on June 10, 2019. Retrieved April 19, 2017.
  184. ^ "Intel, Nvidia Trade Shots Over AI, Deep Learning". August 25, 2016. Archived from the original on May 21, 2023. Retrieved April 19, 2017.
  185. ^ "Nvidia CEO bets big on deep learning and VR". April 5, 2016. Archived from the original on November 25, 2020. Retrieved April 19, 2017.
  186. ^ "From not working to neural networking". The Economist. June 23, 2016. Archived from the original on December 31, 2016. Retrieved September 7, 2017.
  187. ^ Coldewey, Devin (April 5, 2016). "NVIDIA announces a supercomputer aimed at deep learning and AI". Archived from the original on November 29, 2020. Retrieved September 7, 2017.
  188. ^ Carr, Austin; King, Ian (June 15, 2023). "How Nvidia Became ChatGPT's Brain and Joined the $1 Trillion Club". Bloomberg News. Archived from the original on June 18, 2023.
  189. ^ Vanian, Jonathan (August 15, 2016). "Elon Musk's Artificial Intelligence Project Just Got a Free Supercomputer". Fortune. Archived from the original on June 7, 2023.
  190. ^ Nichols, Shaun (February 21, 2017). "Google rents out Nvidia Tesla GPUs in its cloud. If you ask nicely, that'll be 70 cents an hour, bud". The Register. Archived from the original on July 9, 2019. Retrieved April 19, 2017.
  191. ^ "IBM, NVIDIA partner for 'fastest deep learning enterprise solution' in the world – TechRepublic". November 14, 2016. Archived from the original on October 12, 2020. Retrieved April 19, 2017.
  192. ^ "IBM and Nvidia team up to create deep learning hardware". November 14, 2016. Archived from the original on October 12, 2020. Retrieved April 19, 2017.
  193. ^ "IBM and Nvidia make deep learning easy for AI service creators with a new bundle". November 15, 2016. Archived from the original on October 24, 2020. Retrieved April 19, 2017.
  194. ^ "Facebook 'Big Basin' AI Compute Platform Adopts NVIDIA Tesla P100 For Next Gen Data Centers". Archived from the original on November 26, 2020. Retrieved April 19, 2017.
  195. ^ "Nvidia to Power Fujitsu's New Deep Learning System at RIKEN – insideHPC". March 5, 2017. Archived from the original on October 24, 2020. Retrieved April 19, 2017.
  196. ^ Tilley, Aaron (February 9, 2017). "Nvidia Beats Earnings Estimates As Its Artificial Intelligence Business Keeps On Booming". Forbes. Archived from the original on April 19, 2017. Retrieved January 27, 2021.
  197. ^ "Robot see, robot do: Nvidia system lets robots learn by watching humans" Archived November 9, 2020, at the Wayback Machine New Atlas, May 23, 2018
  198. ^ Takahashi, Dean (October 5, 2020). "Nvidia announces open beta for Omniverse as a 'metaverse' for engineers". VentureBeat. Retrieved June 19, 2024.
  199. ^ Takahashi, Dean (January 3, 2023). "Nvidia advances robot simulation with updates to Isaac Sim". VentureBeat. Retrieved June 19, 2024.
  200. ^ "NVIDIA Isaac Sim". GitHub. Retrieved June 19, 2024.
  201. ^ Morris, Meghan (June 3, 2024). "Nvidia CEO Jensen Huang says robots are the next wave of AI — and 2 kinds will dominate". Business Insider.
  202. ^ Coleman, Julie (March 20, 2024). "Nvidia CEO Jensen Huang explains why he's all in on humanoid robotics". CNBC. Retrieved June 19, 2024.
  203. ^ "Six Startups Split $1.5 Million in Cash in AI startup competition". The Official NVIDIA Blog. May 10, 2017. Archived from the original on May 21, 2022. Retrieved March 28, 2018.
  204. ^ Dean Takahashi (March 28, 2018). "Nvidia's Inception AI contest awards $1 million to 3 top startups". Venture Beat. Archived from the original on November 9, 2020. Retrieved September 6, 2018.
  205. ^ "Better Than 8K Resolution: NVIDIA Inception Displays Global AI Startup Ecosystem". The Official NVIDIA Blog. August 2, 2021. Archived from the original on September 10, 2021. Retrieved September 10, 2021.
  206. ^ "NVIDIA Discloses Full Memory Structure and Limitations of GTX 970". PCPer. Archived from the original on February 25, 2015. Retrieved January 28, 2015.
  207. ^ "GeForce GTX 970 Memory Issue Fully Explained – Nvidia's Response". WCFTech. January 24, 2015. Archived from the original on March 7, 2015. Retrieved August 16, 2021.
  208. ^ "Why Nvidia's GTX 970 slows down when using more than 3.5GB VRAM". PCGamer. January 26, 2015. Archived from the original on March 2, 2015. Retrieved August 16, 2021.
  209. ^ "GeForce GTX 970: Correcting The Specs & Exploring Memory Allocation". AnandTech. Archived from the original on February 25, 2015. Retrieved August 16, 2021.
  210. ^ "NVIDIA Working on New Driver For GeForce GTX 970 To Tune Memory Allocation Problems and Improve Performance". WCFTech. January 28, 2015. Archived from the original on February 17, 2015. Retrieved August 16, 2021.
  211. ^ "NVIDIA clarifies no driver update for GTX 970 specifically". PC World. January 29, 2015. Archived from the original on August 30, 2021. Retrieved August 16, 2021.
  212. ^ "NVIDIA Plans Driver Update for GTX 970 Memory Issue, Help with Returns". pcper.com. January 28, 2015. Archived from the original on February 14, 2015. Retrieved August 16, 2021.
  213. ^ "Nvidia CEO addresses GTX 970 controversy". PCGamer. February 26, 2015. Archived from the original on February 27, 2015. Retrieved August 16, 2021.
  214. ^ a b Chalk, Andy (February 22, 2015). "Nvidia faces false advertising lawsuit over GTX 970 specs". PC Gamer. Archived from the original on March 24, 2015. Retrieved March 27, 2015.
  215. ^ Niccolai, James (February 20, 2015). "Nvidia hit with false advertising suit over GTX 970 performance". PC World. Archived from the original on March 26, 2015. Retrieved March 27, 2015.
  216. ^ a b c Ryan Smith. "Diving Deeper: The Maxwell 2 Memory Crossbar & ROP Partitions – GeForce GTX 970: Correcting The Specs & Exploring Memory Allocation". anandtech.com. Archived from the original on February 26, 2015. Retrieved August 16, 2021.
  217. ^ "Nvidia settles class action lawsuit". Top Class Actions. July 27, 2016. Archived from the original on July 28, 2016. Retrieved July 27, 2016.
  218. ^ "Nvidia gets anti-competitive with unsavory GeForce Partner Program". March 12, 2018. Archived from the original on April 17, 2021. Retrieved April 17, 2021.
  219. ^ Bennett, Kyle (March 8, 2018). "GeForce Partner Program Impacts Consumer Choice". HardOcP. Archived from the original on July 12, 2019.
  220. ^ "GeForce Partner Program Helps Gamers Know What They're Buying | NVIDIA Blog". The Official NVIDIA Blog. March 1, 2018. Archived from the original on April 17, 2021. Retrieved April 10, 2018.
  221. ^ Killian, Zak (May 4, 2018). "Nvidia puts the kibosh on the GeForce Partner Program". Tech Report. Archived from the original on August 12, 2022. Retrieved May 4, 2018.
  222. ^ Miller, Chris (December 12, 2020). "Nvidia Under Fire For Banning Review Site That Doesn't Focus On Nvidia Hardware Strengths | Happy Gamer". HappyGamer. Archived from the original on December 17, 2020. Retrieved December 13, 2020.
  223. ^ "Hardware Unboxed VS NVIDIA: a Masterpiece of Bad Marketing". Pangoly. December 13, 2020. Archived from the original on January 23, 2021. Retrieved December 17, 2020.
  224. ^ "Nvidia have officially decided to ban us from receiving GeForce Founders Edition GPU review samples". Twitter. Archived from the original on December 24, 2020. Retrieved December 13, 2020.
  225. ^ a b Lal, Arjun Krishna; Franco, Julio (December 12, 2020). "The ugly side of Nvidia: A rollercoaster ride that shows when Big Tech doesn't get it". TechSpot. Archived from the original on January 5, 2021. Retrieved December 13, 2020.
  226. ^ a b Alderson, Alex (December 13, 2020). "NVIDIA u-turns on its decision to block Hardware Unboxed from receiving GPU review units". Notebookcheck. Archived from the original on December 14, 2020. Retrieved December 13, 2020.
  227. ^ "Nvidia puts pressure on the hardware press". HardwareHeaven.com. December 14, 2020. Archived from the original on December 14, 2020. Retrieved December 15, 2020.
  228. ^ Kokhanyuk, Stanislav (December 13, 2020). "I believe in ray tracing, but I do not believe in Nvidia's RTX 3000-series GPUs". Notebookcheck. Archived from the original on December 29, 2020. Retrieved December 13, 2020.
  229. ^ "NVIDIA might ACTUALLY be EVIL... – WAN Show December 11, 2020". YouTube. December 11, 2020. Archived from the original on December 11, 2021.
  230. ^ "I have something else to say about NVIDIA's latest decision to shoot both its feet: They've now made it so that any reviewers covering RT will become subject to scrutiny from untrusting viewers who will suspect subversion by the company. Shortsighted self-own from NVIDIA". Twitter. December 11, 2020. Archived from the original on December 21, 2020. Retrieved December 13, 2020.
  231. ^ Farrell, Nick (December 14, 2020). "Nvidia retreats from PR disaster". fudzilla.com. Archived from the original on December 14, 2020. Retrieved December 14, 2020.
  232. ^ "Nvidia issues an Apology for Backlisting Hardware Unboxed as their Reviewer". Appuals.com. December 15, 2020. Archived from the original on December 15, 2020. Retrieved December 16, 2020.
  233. ^ "I just received an email from Nvidia apologizing for the previous email & they've now walked everything back". Twitter. December 12, 2020. Archived from the original on January 13, 2021. Retrieved December 13, 2020.
  234. ^ Hardware Unboxed (December 14, 2020). "Nvidia Bans Hardware Unboxed, Then Backpedals: Our Thoughts". YouTube. Archived from the original on December 11, 2021. Retrieved December 14, 2020.
  235. ^ Hardware Unboxed (December 14, 2020). "Twitter: Bryan Del Rizzo from Nvidia has reached out a second time to apologize and asked us to share this with you". Archived from the original on December 15, 2020. Retrieved December 22, 2020.
  236. ^ Stanley, Donny (December 15, 2020). "NVIDIA Apologizes For Email Blacklisting Reviewer, Retracts Original Statements". AdoredTV. Archived from the original on December 15, 2020. Retrieved December 22, 2020.
  237. ^ Prentice, Chris; Singh, Kanishka (May 6, 2022). "Nvidia to pay $5.5 million penalty for 'inadequate disclosures' about cryptomining". Reuters. Archived from the original on May 7, 2022. Retrieved May 7, 2022.
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