Coordinates: 37°22′14.62″N 121°57′49.46″W /
37.3707278°N 121.9637389°W / 37.3707278; -121.9637389
Headquarters at Santa Clara in 2008
S&P 500 Component
April 1993; 25 years ago (1993-04)
Santa Clara, California, U.S.
Jensen Huang (President & CEO)
Colette M. Kress (CFO)
Graphics processing units (GPU)
Central processing units (CPU)
Video Game Consoles
US$9.714 billion (2017)
US$3.210 billion (2017)
US$3.047 billion (2017)
US$11.241 billion (2017)
US$7.471 billion (2017)
Number of employees
11,528 (January 2018)
NVIDIA Advanced Rendering Center
Nvidia Corporation (/ɛnˈvɪdiə/ en-VID-ee-ə; most commonly
referred to as Nvidia, stylized as NVIDIA, nVIDIA, or nVidia) is an
American technology company incorporated in
Delaware and based in
Santa Clara, California. It designs graphics processing units
(GPUs) for the gaming, cryptocurrency, and professional markets, as
well as system on a chip units (SoCs) for the mobile computing and
automotive market. Its primary GPU product line, labeled "GeForce", is
in direct competition with Advanced Micro Devices' (AMD) "Radeon"
Nvidia expanded its presence in the gaming industry with its
handheld Shield Portable,
Shield Tablet and Shield Android TV.
Since 2014,
Nvidia has shifted to become a platform
company focused on four markets – gaming, professional
visualization, data centers and auto.
Nvidia is also now focused on
In addition to GPU manufacturing,
Nvidia provides parallel processing
capabilities to researchers and scientists that allow them to
efficiently run high-performance applications. They are deployed in
supercomputing sites around the world. More recently, it has
moved into the mobile computing market, where it produces
processors for smartphones and tablets as well as vehicle navigation
and entertainment systems. In addition to AMD, its
competitors include Intel,
Qualcomm and Arm (e.g., because of Denver,
Nvidia also licenses Arm's designs).
1 Company history
1.1 Founders and initial investment
1.2 Major releases and acquisitions
2 GPU Technology Conference
3 Product families
4 Open-source software support
5 Deep learning
6 Inception Program
6.1 2018 Winners
6.2 2017 Winners
7 See also
9 External links
Aerial view of the new
Nvidia headquarters building and surrounding
campus and area in Santa Clara, California, in 2017.
Apple Park is
visible in the distance.
In the early 1990s, the three co-founders hypothesized that the proper
direction for the next wave of computing would be accelerated or
graphics based. They believed that this model of computing could solve
problems that general-purpose computing fundamentally couldn't. They
also observed that video games were some of the most computationally
challenging problems, but would have incredibly high sales volume.
With a capital of $40,000, the company was born. The company initially
had no name and the co-founders named all their files NV, as in "next
version". The need to incorporate the company prompted the co-founders
to review all words, leading them to "invidia", the Latin word for
Founders and initial investment
Three people co-founded
Nvidia in April 1993:
Jensen Huang (CEO as of 2017), a Taiwanese American, previously
director of CoreWare at
LSI Logic and a microprocessor designer at
Advanced Micro Devices
Advanced Micro Devices (AMD)
Chris Malachowsky, an electrical engineer who worked at Sun
Curtis Priem, previously a senior staff engineer and graphics chip
designer at Sun Microsystems
The company received $20 million of venture capital funding from
Sequoia Capital and others.
Major releases and acquisitions
The release of the
RIVA TNT in 1998 solidified Nvidia's reputation for
developing capable graphics adapters. In late 1999,
GeForce 256 (NV10), most notably introducing on-board
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
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 mid 1990s until 2000. The
acquisition process was finalized in April 2002.
In July 2002,
Nvidia acquired Exluna for an undisclosed sum. Exluna
made software rendering tools and the personnel were merged into the
Cg project. In August 2003,
Nvidia acquired MediaQ for
approximately US$70 million. On April 22, 2004,
iReady, also a provider of high performance TCP/IP and iSCSI offload
solutions. In December 2004, it was announced that
Sony with the design of the graphics processor (RSX) in the
PlayStation 3 game console. In May 2005,
Microsoft chose to license a
design by ATI and to make its own manufacturing arrangements for the
Xbox 360 graphics hardware, as had
Nintendo for the
Wii console (which
succeeded the ATI-based
On December 14, 2005,
Nvidia acquired ULI Electronics, which at the
time supplied third-party southbridge parts for chipsets to ATI,
Nvidia's competitor. In March 2006,
Nvidia acquired Hybrid
Graphics. 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.
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. On January 5, 2007,
Nvidia announced that it
had completed the acquisition of PortalPlayer, Inc. In February
Nvidia acquired Ageia, developer of the
PhysX physics engine and
physics processing unit.
Nvidia announced that it planned to integrate
PhysX technology into its future GPU products.
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.
On January 10, 2011,
Nvidia signed a six-year, $1.5 billion
cross-licensing agreement with Intel, ending all litigation between
the two companies. In November 2011, after initially unveiling it
at Mobile World Congress,
Nvidia released its
Tegra 3 ARM
system-on-chip for mobile devices.
Nvidia claimed that the chip
featured the first-ever quad-core mobile CPU. In May 2011, it
was announced that
Nvidia had agreed to acquire Icera, a baseband chip
making company in the UK, for $367 million. 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-chip. On July 29, 2013,
Nvidia announced that they
acquired PGI from STMicroelectronics.
On May 6, 2016,
Nvidia unveiled the first
GeForce 10 series GPUs, the
GTX 1080 and 1070, based on the company's new Pascal
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.
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.
Nvidia leverages NVIDIA-Powered Infotainment in Luxgen.
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. In May 2017,
Nvidia announced a
partnership with Toyota Motor Corp. Toyota will use Nvidia's Drive
PX-series artificial intelligence platform for its autonomous
vehicles. In July 2017,
Nvidia and Chinese search giant Baidu,
Inc. 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
Drive PX 2 AI will be the foundation of its autonomous-vehicle
Nvidia officially released the NVIDIA TITAN V on December 7,
Nvidia officially released the
Quadro GV100 on March 27,
GPU Technology Conference
The GPU Technology Conference is an annual technical conference
Nvidia in 2009 which focuses on using the GPU to solve
computing challenges. In 2015, the conference attracted over 4000
Nvidia GTX 1070 video card, released in May 2016, uses a
16 nm Pascal chip.
Nvidia GTX 1080 in SLI.
Nvidia Shield Tablet.
Nvidia's family includes primarily graphics, wireless communication,
PC processors and automotive hardware/software. Some families are
GeForce, consumer-oriented graphics processing products
Quadro computer-aided design and digital content creation workstation
graphics processing products
NVS, multi-display business graphics solution
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
Pentium and Core 2) and
AMD (Athlon and Duron) microprocessors
Nvidia Grid, a set of hardware and services by
Nvidia for graphics
Nvidia Shield, a range of gaming hardware including the Shield
Shield Tablet and, most recently, the Shield Android TV
Nvidia Drive automotive solutions, a range of hardware and software
products for assisting car drivers. The
Drive PX-series is a high
performance computer platform aimed at autonomous driving through deep
learning, while Driveworks is an operating system for driverless
Open-source software support
Free and open-source
Free and open-source device drivers: graphics, Mesa 3D, and
Until September 23, 2013,
Nvidia had not published any documentation
for its hardware, meaning that programmers could not write
appropriate and effective free and open-source device driver for its
products without resorting to (clean room) reverse engineering.
Nvidia provides its own binary
GeForce graphics drivers for
X.Org and a thin 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.
The proprietary nature of Nvidia's drivers has generated
dissatisfaction within free-software communities. Some
BSD users insist on using only open-source drivers and regard Nvidia's
insistence on providing nothing more than a binary-only driver as
wholly inadequate, given that competing manufacturers (like Intel)
offer support and documentation for open-source developers and that
others (like AMD) release partial documentation and provide some
Because of the closed nature of the drivers,
Nvidia video cards cannot
deliver adequate features on some platforms and architectures given
that it only provides x86/x64 driver builds. As a result, support
for 3D graphics acceleration in
PowerPC does not exist, nor
does support for
Linux on the hypervisor-restricted PlayStation 3
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
Nvidia GPUs are used in deep learning, artificial intelligence, and
accelerated analytics. The company developed GPU-based deep learning
in order to use artificial intelligence to approach problems like
cancer detection, weather prediction, and self-driving vehicles.
They are included in all Tesla vehicles. The purpose is to help
networks learn to “think”. According to TechRepublic, Nvidia
GPUs "work well for deep learning tasks because they are designed for
parallel computing and do well to handle the vector and matrix
operations that are prevalent in deep learning". These GPUs are
used by researchers, laboratories, tech companies and enterprise
companies. In 2009,
Nvidia was involved in what was called the
"big bang" of deep learning, "as deep-learning neural networks were
Nvidia graphics processing units (GPUs)". That year,
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
In April 2016,
Nvidia produced the
DGX-1 supercomputer based on an 8
GPU cluster, to improve the ability of users to use deep learning by
combining GPUs with integrated deep learning software. It also
Nvidia Tesla K80 and P100 GPU-based virtual machines, which
are available through
Google Cloud, which
Google installed in November
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,
called IBM PowerAI.
Nvidia also offers its own NVIDIA Deep
Learning software development kit. In 2017, the GPUs were also
brought online at the RIKEN Center for Advanced Intelligence Project
for Fujitsu. The company's deep learning technology led to a boost
in its 2017 earnings.
Nvidia's Inception program was created to support startups making
exceptional advances in the fields of AI and Data Science. Award
winners are announced at Nvidia's GTC Conference. There are currently
2,800 startups in the Inception Program.
Subtle Medical (healthcare)
Kinema Systems (autonomous vehicles)
Genetesis (social innovation)
Athelas (hottest emerging)
Deep Instinct (most disruptive)
San Francisco Bay Area portal
Fast approximate anti-aliasing
General-purpose computing on graphics processing units
Graphics processing unit
Nvidia 3D Vision Ready games
Nvidia graphics processing units
Molecular modeling on GPUs
Shield Android TV
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Missing or empty title= (help)
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Wikimedia Commons has media related to Nvidia.
Nvidia.com Driver Downloads
GeForce.com, official gaming community site
Business data for Nvidia:
GeForce (List of GPUs)
Fixed pixel pipeline(s)
Hardware T&L and fixed pixel pipelines
Vertex and fragment shaders
Software and technologies
Nvidia NVENC (video encoding)
Nvidia PureVideo (video decoding)
Cg (shading language)
Gelato (offline renderer)
OptiX (ray tracing API)
PhysX (physics SDK)
Nvidia System Tools
VDPAU (video decode API)
Nvidia 3D Vision (active shutter)
G-Sync (variable refresh rate)
Nvidia Optimus (GPU switching)
Nvidia Surround (multi-monitor)
Scalable Link Interface
Scalable Link Interface (multi-GPU)
TurboCache (framebuffer in system memory)
RSX 'Reality Synthesizer'
RSX 'Reality Synthesizer' (PlayStation 3)
Tegra NX-SoC (
Shield Android TV
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