Nvidia
Nvidia
Nvidia's professional line of GPUs are used for edge-to- Headquarters in Santa Clara, California in
cloud computing and in supercomputers and 2023
workstations for applications in such fields as
Trade name NVIDIA
architecture, engineering and construction, media and
entertainment, automotive, scientific research, and Company Public
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 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".[32] Huang routinely
began presentations to Nvidia staff with those words for many years.[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.[37][38][39] 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.[36]
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.[40][41] The acquisition process was finalized in April 2002.[42]
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.[43]
In July 2002, Nvidia acquired Exluna for an undisclosed sum. Exluna made software-rendering tools and
the personnel were merged into the Cg project.[44] In August 2003, Nvidia acquired MediaQ for
approximately US$70 million.[45] On April 22, 2004, Nvidia acquired iReady, also a provider of high-
performance TCP/IP and iSCSI offload solutions.[46] In December 2004, it was announced that Nvidia
would assist Sony with the design of the graphics processor (RSX) in 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.[47] In March 2006, Nvidia acquired Hybrid Graphics.[48] 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.[49]
2007–2014
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.[50] On January 5, 2007, Nvidia announced that it had
completed the acquisition of PortalPlayer, Inc.[51] 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.[52][53]
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.[54][55] On January 10, 2011, Nvidia signed a six-year, $1.5 billion cross-licensing
agreement with Intel, ending all litigation between the two companies.[56]
In November 2011, after initially unveiling it at Mobile World Congress, Nvidia released its Tegra 3 ARM
system on a chip for mobile devices. Nvidia claimed that the chip featured the first-ever quad-core mobile
CPU.[57][58] In May 2011, it was announced that Nvidia had agreed to acquire Icera, a baseband chip
making company in the UK, for $367 million.[59] 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.[60] On
July 29, 2013, Nvidia announced that they acquired PGI from STMicroelectronics.[61]
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".[62]
In 2014, Nvidia ported the Valve games Portal and Half Life 2 to its Nvidia Shield tablet as Lightspeed
Studio.[63][64] Since 2014, Nvidia has diversified its business focusing on three markets: gaming,
automotive electronics, and mobile devices.[65]
2016–2018
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 Nvidia Titan X, part of the GeForce
new hardware feature known as simultaneous multi-projection 10 series
(SMP), which is designed to improve the quality of multi-monitor
and virtual reality rendering.[66][67][68] 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.[69]
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 RAM due to limitations brought by the design
of its hardware.[70] In May 2017, Nvidia announced a partnership with Toyota which will use Nvidia's
Drive PX-series artificial intelligence platform for its autonomous vehicles.[71] 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.[72]
Nvidia officially released the Nvidia Quadro GV100 on March 27, 2018.[75] 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.[76]
In May 2018, on the Nvidia user forum, a thread was started[77] 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[78]
and listed Metal compatible GPUs, including some manufactured by Nvidia.[79] 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)."[80] 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,"[81]
suggesting a possible rift between the two companies.[82] 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".[83] The following month, Apple Insider followed this up with
another claim that Nvidia support was abandoned because of "relational issues in the past",[84] and that
Apple was developing its own GPU technology.[85] 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.[86]
2020–2023
In May 2020, Nvidia announced it was acquiring Cumulus Networks.[90] 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.[91] On May 14, 2020, Nvidia officially announced their Ampere GPU
microarchitecture and the Nvidia A100 GPU accelerator.[92][93] In July 2020, it was reported that Nvidia
was in talks with SoftBank to buy Arm, a UK-based chip designer, for $32 billion.[94]
On September 1, 2020, Nvidia officially announced the GeForce 30 series based on the company's new
Ampere microarchitecture.[95][96]
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.[97][98][99][100]
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.[101][102] 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."[103]
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".[104] 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'".[105] The investigation is set to end on March 15, 2022.[106][107] That same month,
Nvidia was reportedly compromised by a cyberattack.[108]
In March 2022, Nvidia's CEO Jensen Huang mentioned that they are open to having Intel manufacture their
chips in the future.[109] 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.[110]
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.[111][112]
In September 2022, Nvidia announced its next-generation automotive-grade chip, Drive Thor.[113][114]
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.[115]
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.[116]
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.[120]
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.[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]
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.[43] 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.[43] 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.[123] On March 18, Nvidia announced its new AI chip and
microarchitecture Blackwell, which is named after David Blackwell.[124]
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.[125][126]
Corporate affairs
Sales by business unit (2023)[127]
Leadership Business unit Sales (billion $) Share
Nvidia's key management as of early 2024 consists Compute & networking 47.4 77.8%
of:[128] Graphics 13.5 22.2%
Board of directors
As of March 2024, the company's board consisted of the following directors:[129]
Finances
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.[130]
For the Q2 of 2020, Nvidia reported sales of $3.87 billion, which Nvidia stock price (1999–2023)
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."[131] In May 2023, Nvidia crossed
$1 trillion in market valuation during trading hours,[132] and grew to $1.2 trillion by the following
November.[133] 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:[127]
originated in 2009 in San Jose, California, with an initial 2021 26,914 9,752 22,473
focus on the potential for solving computing challenges 2022 26,974 4,368 26,000
through GPUs. [135] In recent years, the conference focus
2023 60,922 29,760 29,600
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.[136] GTC 2018 attracted over 8400 attendees.[134] GTC 2020 was
converted to a digital event and drew roughly 59,000 registrants.[137] After several years of remote-only
events, GTC in March 2024 returned to an in-person format in San Jose, California.[138]
Product families
Nvidia's product families include graphics processing units, wireless
communication devices, and automotive hardware and software,
such as:
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.[146]
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."[147][148] 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.[149][150]
Nvidia only provides x86/x64 and ARMv7-A versions of their proprietary driver; as a result, features like
CUDA are unavailable on other platforms.[151] 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.[152]
In 2014, with Maxwell GPUs, Nvidia started to require firmware by them to unlock all features of its
graphics cards.[153][154][155]
On 12 May 2022, Nvidia announced that they are opensourcing their GPU kernel modules.[156][157][158]
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.[159][160]
Deep learning
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.[161][162] These GPUs are used by researchers, laboratories, tech companies and enterprise
companies.[163] 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)".[164] 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.[165]
DGX
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.[166] 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.[167][168] It also developed Nvidia Tesla K80 and
P100 GPU-based virtual machines, which are available through Google Cloud, which Google installed in
November 2016.[169] 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,[170] called IBM PowerAI.[171][172] Nvidia also offers its own Nvidia
Deep Learning software development kit.[173] In 2017, the GPUs were also brought online at the Riken
Center for Advanced Intelligence Project for Fujitsu.[174] The company's deep learning technology led to a
boost in its 2017 earnings.[175]
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.[176]
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.[177] As of March 2018, there were 2,800 startups in the Inception
Program.[178] As of August 2021, the program has surpassed 8,500 members in 90 countries, with
cumulative funding of US$60 billion.[179]
Controversies
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.[183] 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.[184] However, Nvidia later clarified that
the promise had been a miscommunication and there would be no specific driver update for the GTX
970.[185] Nvidia claimed that it would assist customers who wanted refunds in obtaining them.[186] On
February 26, 2015, Nvidia CEO Jen-Hsun Huang went on record in Nvidia's official blog to apologize for
the incident.[187] 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.[188][189]
Nvidia revealed that it is able to disable individual units, each containing 256KB of L2 cache and 8 ROPs,
without disabling whole memory controllers.[190] 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.[190]
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.[190]
On July 27, 2016, Nvidia agreed to a preliminary settlement of the U.S. class action lawsuit,[188] 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.[191]
First announced in a blog post on March 1, 2018,[194] it was canceled on May 4, 2018.[195]
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.[199]
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."[199]
A number of prominent technology reviewers came out strongly against Nvidia's move.[200][201] Linus
Sebastian, of Linus Tech Tips, titled the episode of his popular weekly WAN Show, "NVIDIA might
ACTUALLY be EVIL..."[202] and was highly critical of the company's move to dictate specific outcomes
of technology reviews.[203] The popular 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."[204]
Two days later, Nvidia reversed their stance.[205][206] 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."[207][200] On December 14, Hardware Unboxed released a video explaining the controversy from
their viewpoint.[208] 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."[209][210]
See also
San Francisco
Bay Area portal
Companies portal
Electronics portal
Technology portal
Fast approximate anti-aliasing
General-purpose computing on graphics processing units
Huang's law
Molecular modeling on GPUs
GPU workstations
Groq
Notes
a. 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]
b. Though unofficial, second letter capitalization of NVIDIA, i.e. nVidia, may be found within
enthusiast communities and publications.[4]
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Commission. February 21, 2024. Archived (https://web.archive.org/web/20240221215223/htt
ps://www.sec.gov/ix?doc=/Archives/edgar/data/1045810/000104581024000029/nvda-20240
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External links
Official website (https://www.nvidia.com)
Nvidia Developer website (https://developer.nvidia.com/)
Business data for Nvidia: Bloomberg (https://www.bloomberg.com/quote/NVDA:US) · Google
(https://www.google.com/finance/quote/NVDA:NASDAQ) · Reuters (https://www.reuters.com/
markets/companies/NVDA.O) · SEC filings (https://www.sec.gov/cgi-bin/browse-edgar?actio
n=getcompany&CIK=1045810) · Yahoo! (https://finance.yahoo.com/quote/NVDA)