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"If you look at the history of the company, Nvidia reinvented the graphics industry and coined this term GPU," said Sumit Gupta, product line manager for Nvidia’s Tesla, in aninterview. "This was the point when we decided to invest in graphics computing with this new CUDA architecture."
"The way to be successful in this business and successful in parallel processing is to get the hardware and software to talk to each other," Gupta said. "This is a very strategic decision for us: to become a computing company rather than simply a graphics company."
Tesla, the youngest of Nvidia's Fermi-based reference designs, initially appeared three years ago. While the GeForce is the consumer brand and Quadro is intended for the business space, Tesla brings parallel processing capabilities to servers and blades. Gupta said Tesla is known for its reliability, and for the flexibility it offers customers in the financial and oil and gas industries as well as scientific and government research, especially by allowing them to check memory capability.
With various industries and researchers "hungry for better computing capabilities," Gupta said Nvidia believes graphics technology as a whole has become a more compute-intensive process. As a result, Nvidia is focusing its energy on CUDA and the expansion of visualization technology, as the company indicated during its GPU Technology Conference in San Jose last month.
Next: Nvidia's Aggressive Roadmap
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