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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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Major New NVIDIA CUDA Release Makes It Faster and Easier To Accelerate Scientific Research with GPUs
SANTA CLARA, Calif.—Jan. 26, 2012—NVIDIA today released a new version of its CUDA parallel computing platform, which will make it easier for computational biologists, chemists, physicists, geophysicists, other researchers, and engineers to advance their simulations and computational work by using GPUs.

NVIDIA Tegra 3 Processor to Power Audi’s Next-Gen Infotainment and Digital Instrument Clusters
Las Vegas — Jan 11, 2012—NVIDIA today announced that Audi AG has selected the NVIDIA® Tegra® 3 mobile processor to power in-vehicle infotainment systems – as well as new digital instrument clusters that replace traditional dashboard gauges – across its full line of vehicles worldwide, beginning in 2013.

GPU-Accelerated Engineering Simulation Application to Enable Highest Quality Products for Aerospace and other Mission Critical Fields
BEIJING — GTC ASIA — Dec. 15, 2011— NVIDIA today announced that MSC Software Corporation, a leader in multi-discipline simulation software solutions, has launched a GPU-accelerated version of the MSC Nastran 2012, Finite Element Analysis (FEA) application, which is used in a wide range of engineering simulation tasks.

Chinese Ministry of Education to Integrate CUDA Programming Curriculum in Universities Nationwide
BEIJING — GTC ASIA — Dec 14, 2011 — NVIDIA today announced that the Chinese Ministry of Education is planning to offer NVIDIA® CUDA® architecture -focused programming courses at potentially hundreds of universities nationwide beginning in the second half of 2012, resulting in up to 20,000 students being trained annually on the best CUDA and parallel-programming practices.