NVIDIA (Nasdaq: NVDA) is the world leader in visual computing
technologies and the inventor of the GPU, a high-performance
processor which generates breathtaking, interactive graphics on
workstations, personal computers, game consoles, and mobile
devices.
NVIDIA serves the entertainment and consumer market with its
GeForce® products, the professional design and visualization
market with its Quadro™ products, and the high-performance
computing market with its Tesla™ products.
These products are transforming visually-rich and
computationally-intensive applications such as video games, film
production, broadcasting, industrial design, financial modeling,
space exploration, and medical imaging.
Ownership: NVIDIA was founded in 1993 and is publicly traded on
the Nasdaq stock market under the symbol NVDA.
Employees: Over 5,000 employees worldwide.
Headquarters: Santa Clara, California
Offices
Europe: England, Finland, France, Germany, Russia
Asia: China, India, Japan, Korea, Taiwan
NVIDIA Products
GeForce®
GPUs dedicated to graphics and video.
Desktop and notebook PCs equipped with GeForce GPUs deliver
unparalleled performance, crisp photos, high-definition video
playback, and ultra-realistic games. GeForce notebook GPUs also
include advanced power management technology to deliver high
performance without sacrificing battery life.
Quadro™
A complete range of professional solutions engineered to deliver
breakthrough performance and quality.
Certified for all leading professional graphics applications.
#1in professional graphics segment share. NVIDIA Quadro Plex is
the industry's first dedicated visual computing system (VCS).
Tesla™
A massively-parallel multi-threaded architecture for
high-performance computing problems.
A dedicated, high-performance GPU computing solution that brings
supercomputing power to any workstation or server and to
standard, CPU-based server clusters. Tesla delivers a
128-processor computing core per GPU, C-language development
environment for the GPU, and a suite of developer tools –
allowing users to develop applications faster and to deploy them
across multiple generations of processors. It also can be used
in tandem with multi-core CPU systems to create a scalable
computing solution that fits seamlessly into existing
workstation or IT infrastructures.
