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NVIDIA awakened the world to the power of computer graphics when it invented the GPU in 1999. Since then, it has consistently set new standards in visual computing with breathtaking, interactive graphics available on devices ranging from portable media players to notebooks to workstations. NVIDIA’s expertise in programmable GPUs has led to breakthroughs in parallel processing which make supercomputing inexpensive and widely accessible. Fortune magazine has ranked NVIDIA #1 in innovation in the semiconductor industry for two years in a row.

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NVIDIA Tesla K10 GPU Accelerates Search for Oil and Gas Reserves, Signal and Image Processing for Defense Industry
SAN JOSE, Calif.—GPU Technology Conference—May 16, 2012—NVIDIA today announced availability of the NVIDIA® Tesla® K10 GPU accelerator, designed to address the most difficult challenges in two high performance computing (HPC) markets: seismic data processing in oil and gas exploration, and signal and image processing in the defense industry.

NVIDIA Unveils Cloud GPU Technologies, Redefining Computing Industry for Third Time
SAN JOSE, Calif.—GPU Technology Conference—May 15, 2012—NVIDIA today kicked off the GPU Technology Conference (GTC) by unveiling its third industry-shaping innovation since its founding 19 years ago – technologies that accelerate cloud computing using the enormous computing capabilities of the GPU.

NVIDIA Introduces World’s First Virtualized GPU, Accelerating Graphics for Cloud Computing
SAN JOSE, Calif.—GPU Technology Conference—May 15, 2012—NVIDIA today unveiled the NVIDIA® VGX™ platform, which enables IT departments to deliver a virtualized desktop with the graphics and GPU computing performance of a PC or workstation to employees using any connected device.

NVIDIA Pioneers New Standard for High Performance Computing with Tesla GPUs Built on Kepler Architecture
SAN JOSE, Calif.—GPU Technology Conference—May 15, 2012—NVIDIA today unveiled a new family of Tesla® GPUs based on the revolutionary NVIDIA® Kepler™ GPU computing architecture, which makes GPU-accelerated computing easier and more accessible for a broader range of high performance computing (HPC) scientific and technical applications.