Rs. 5,499/- Net
Rs. 5,499/- Net
NVIDIA 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
Europe: England, Finland, France, Germany, Russia
Asia: China, India, Japan, Korea, Taiwan
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.
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).
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.