Nvidia

Source: Wikipedia, the free encyclopedia.
(Redirected from
NVIDIA
)

Nvidia Corporation
Websitenvidia.com
Footnotes / references
[1][2]

Nvidia Corporation

application programming interfaces (APIs) for data science and high-performance computing as well as system on a chip units (SoCs) for the mobile computing and 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

In addition to GPU design and 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

valued at over $1 trillion,[24] and, as of March 2024, it is the third most-valuable publicly traded company based in the United States, after Microsoft and Apple, with a market capitalization of $2.3 trillion.[25]

History

Founding

The Denny's roadside diner in East San Jose, c. 2023, where Nvidia's three co-founders agreed to start the company in 1993
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,

graphics chip designer at IBM and Sun Microsystems.[29][30] The three men founded the company in a meeting at a Denny's roadside diner in East San Jose (just off Interstate 680 at the Berryessa Road interchange).[31][32]

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.[33] They also observed that video games were simultaneously one of the most computationally challenging problems and would have incredibly high sales volume; the two conditions do not happen very often.[33] Video games became the company's flywheel to reach large markets and fund huge R&D to solve massive computational problems.[33] With $40,000 in the bank, the company was born.[33] The company subsequently received $20 million of venture capital funding from Sequoia Capital and others.[34]

Nvidia initially had no name and the co-founders named all their files NV, as in "next version".[33] The need to incorporate the company prompted the co-founders to review all words with those two letters, leading them to "invidia", the Latin word for "envy".[33] The company's original headquarters office was in Sunnyvale, California.[33]

First graphics accelerator

Nvidia's first graphics accelerator product, the NV1, was optimized for processing quadratic primitives instead of the triangle primitives preferred by its competitors.[32] Then Microsoft introduced the DirectX platform, refused to support any other graphics software,[35] and also announced that its graphics software (Direct3D) would support only triangles.[32] 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.[32][35] By the time the RIVA 128 was released in August 1997, Nvidia was down to about 40 employees[31] and only had enough money left for about one month of payroll.[32] The sense of 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".[32] Nvidia sold about a million RIVA 128s in about four months[32] and used the revenue to develop its next generation of products.[35] In 1998, the release of the RIVA TNT solidified Nvidia's reputation for developing capable graphics adapters.

Public company

Nvidia went public on January 22, 1999.[36][37][38]

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

3dfx, a pioneer in consumer 3D graphics technology leading the field from the mid-1990s until 2000.[39][40] The acquisition process was finalized in April 2002.[41]

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.[42]

In July 2002, Nvidia acquired Exluna for an undisclosed sum. Exluna made software-rendering tools and the personnel were merged into the Cg project.

ULI Electronics, which at the time supplied third-party southbridge parts for chipsets to ATI, Nvidia's competitor.[46] In March 2006, Nvidia acquired Hybrid Graphics.[47] 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.[48]

2007–2014

PortalPlayer, Inc.[50] 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.[51][52]

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.[53][54] On January 10, 2011, Nvidia signed a six-year, $1.5 billion cross-licensing agreement with Intel, ending all litigation between the two companies.[55]

In November 2011, after initially unveiling it at

Nvidia Shield, an Android-based handheld game console powered by the new system on a chip.[59] On July 29, 2013, Nvidia announced that they acquired PGI from STMicroelectronics.[60]

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".[61]

In 2014, Nvidia ported the Valve games Portal and Half Life 2 to its Nvidia Shield tablet as Lightspeed Studio.[62][63] Since 2014, Nvidia has diversified its business focusing on three markets: gaming, automotive electronics, and mobile devices.[64]

2016–2018

Nvidia Titan X, part of the GeForce 10 series

On May 6, 2016, Nvidia unveiled the first GPUs of the

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.[65][66][67] 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.[68]

In July 2016, Nvidia agreed to a settlement for a

Drive PX-series artificial intelligence platform for its autonomous vehicles.[70] 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.[71]

Nvidia officially released the Titan V on December 7, 2017.[72][73]

Nvidia officially released the Nvidia Quadro GV100 on March 27, 2018.[74] 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.[75]

In May 2018, on the Nvidia user forum, a thread was started

AMD Radeon from the list recommended by Apple.[85]

2019–acquisition of Mellanox Technologies

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

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.[88]

2020–2023

In May 2020, Nvidia announced it was acquiring Cumulus Networks.[89] Post acquisition the company was absorbed into Nvidia's networking business unit, along with Mellanox.

In May 2020, Nvidia's developed an

Arm, a UK-based chip designer, for $32 billion.[93]

On September 1, 2020, Nvidia officially announced the GeForce 30 series based on the company's new Ampere microarchitecture.[94][95]

On September 13, 2020, it was announced that Nvidia would buy Arm from SoftBank Group for $40 billion, subject to the usual scrutiny, with the latter retaining a 10% share of Nvidia.[96][97][98][99]

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.[100][101] 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."[102]

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".[103] 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'".[104] The investigation is set to end on March 15, 2022.[105][106] That same month, Nvidia was reportedly compromised by a cyberattack.[107]

In March 2022, Nvidia's CEO Jensen Huang mentioned that they are open to having Intel manufacture their chips in the future.[108] 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.[109]

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.[110][111]

In September 2022, Nvidia announced its next-generation automotive-grade chip, Drive Thor.[112][113]

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.[114]

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.[115]

2023–present, passing the $1 trillion mark

On September 26, 2023, Denny's CEO

tech giants were beholden to how Nvidia allocated supply. Larry Ellison of Oracle Corporation said that month that during a dinner with Huang, 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".[117]

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.[118]

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.[119]

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.[42] 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.[42] Nvidia recorded its highest market capitalization to date on March 8, 2024, with $2.38 trillion, just $230 billion behind Apple Inc. and $645 billion behind Microsoft.[120] On March 18, Nvidia announced its new AI chip and microarchitecture Blackwell, which is named after David Blackwell.[121]

In February 2024, Nvidia began sampling two new AI chips for China, reported its CEO. Nvidia's sales in China totaled $1.9 billion for Q4, comprising 9% of total sales. In April 2024, China acquired banned Nvidia chips and servers from Super Micro and Dell via tenders.[122]

Fabless manufacturing

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.[123][124]

Corporate affairs

Sales by business unit (2023)[125]
Business unit Sales (billion $) Share
Compute & networking 47.4 77.8%
Graphics 13.5 22.2%
Sales by region (2023)[125]
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

Nvidia's key management as of early 2024 consists of:[126]

  • 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

As of March 2024, Nvidias board consisted of the following directors:[127]

Finances

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.[128]

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."[129] In May 2023, Nvidia crossed $1 trillion in market valuation during trading hours,[130] and grew to $1.2 trillion by the following November.[131] 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

The 10 largest shareholders of Nvidia in early 2024 were:[125]

GPU Technology Conference

Nvidia's GPU Technology Conference (GTC) is a series of technical conferences held around the world.

high-performance computing, and Nvidia Deep Learning Institute (DLI) training.[134] GTC 2018 attracted over 8400 attendees.[132] GTC 2020 was converted to a digital event and drew roughly 59,000 registrants.[135] After several years of remote-only events, GTC in March 2024 returned to an in-person format in San Jose, California.[136]

Product families

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
  • Nvidia RTX, professional visual computing graphics processing products (replacing GTX and Quadro)
  • NVS, multi-display business graphics solution[buzzword
    ]
  • Tegra, a system on a chip series for mobile devices
  • Tesla, dedicated general-purpose GPU 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
  • Nvidia GRID, a set of hardware and services by Nvidia for graphics virtualization
  • Nvidia Shield, a range of gaming hardware including the
    Shield Android TV
  • Nvidia 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,[137] while Driveworks is an operating system for driverless cars.[138]
  • Nvidia BlueField, a range of data processing units, initially inherited from their acquisition of Mellanox Technologies[139][140]
  • Nvidia Datacenter/Server class CPU, codenamed Nvidia Grace, released in 2023[141][142]

Open-source software support

Until September 23, 2013, Nvidia had not published any documentation for its advanced hardware,

free and open-source device driver for its products without resorting to (clean room) reverse engineering
.

Instead, Nvidia provides its own

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.[144]

The proprietary nature of Nvidia's drivers has generated dissatisfaction within

AMD) release partial documentation and provide some active development.[147][148]

Nvidia only provides x86/x64 and ARMv7-A versions of their proprietary driver; as a result, features like CUDA are unavailable on other platforms.[149] 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.[150]

In 2014, with Maxwell GPUs, Nvidia started to require firmware by them to unlock all features of its graphics cards.[151][152][153]

On 12 May 2022, Nvidia announced that they are opensourcing their GPU kernel modules.[154][155][156] Support for Nvidia's firmware was implemented in nouveau in 2023, which allows proper power management and GPU reclocking for Turing and newer graphics cards.[157][158]

Deep learning

Nvidia GPUs are used in

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.[159][160] These GPUs are used by researchers, laboratories, tech companies and enterprise companies.[161] 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)".[162] That year, the Google Brain 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.[163]

DGX

DGX is a line of

supercomputers
by Nvidia.

In April 2016, Nvidia produced the

Watson,[168] called IBM PowerAI.[169][170] Nvidia also offers its own Nvidia Deep Learning software development kit.[171] In 2017, the GPUs were also brought online at the Riken Center for Advanced Intelligence Project for Fujitsu.[172] The company's deep learning technology led to a boost in its 2017 earnings.[173]

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.[174]

Inception Program

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.[175] As of March 2018, there were 2,800 startups in the Inception Program.[176] As of August 2021, the program has surpassed 8,500 members in 90 countries, with cumulative funding of US$60 billion.[177]

Controversies

Maxwell advertising dispute

GTX 970 hardware specifications

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.[178][179][180]

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.[181] 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.[182] However, Nvidia later clarified that the promise had been a miscommunication and there would be no specific driver update for the GTX 970.[183] Nvidia claimed that it would assist customers who wanted refunds in obtaining them.[184] On February 26, 2015, Nvidia CEO Jen-Hsun Huang went on record in Nvidia's official blog to apologize for the incident.[185] 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.[186][187]

Nvidia revealed that it is able to disable individual units, each containing 256KB of L2 cache and 8 ROPs, without disabling whole memory controllers.[188] 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.[188] 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.[188]

On July 27, 2016, Nvidia agreed to a preliminary settlement of the U.S. class action lawsuit,[186] 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.[189]

GeForce Partner Program

This page is based on the copyrighted Wikipedia article: NVIDIA. Articles is available under the CC BY-SA 3.0 license; additional terms may apply.Privacy Policy