Company Extends Record-Breaking Win Streak to Eighth Consecutive Year
TAIPEI, TAIWAN -- (Marketwired) -- 05/31/16 -- Computex - NVIDIA (NASDAQ: NVDA) won big at the Computex Best Choice Awards, with the NVIDIA® Tesla® M40 GPU and NVIDIA Jetson™ TX1 module hauling in Gold Awards and the NVIDIA SHIELD™ Android TV clinching a Category Award.
Garnering these three prestigious awards extends the company's winning streak -- the longest of any international Computex exhibitor -- to eight consecutive years. Taiwan's President Tsai Ing-wen will hand out the awards.
Nearly 375 technology products from more than 140 vendors vied for the Best Choice Awards at Computex, the largest technology tradeshow in Asia and second largest in the world. The Best Choice Awards, established in 2002, honor innovation, functionality and market potential.
The Gold Award-winning NVIDIA Tesla M40 GPU is the world's fastest deep learning training accelerator. Purpose-built to dramatically reduce training time, the Tesla M40 can crank through deep learning models within hours versus days on CPU-based compute systems.
The NVIDIA Jetson TX1, the other Gold Award winner, is the world's most advanced system for embedded visual computing. A supercomputer on a module that's the size of a credit card, it offers embedded computing developers the highest performance, latest technology and the best development platform.
Winner of the Digital Entertainment & AR/VR Application Category Award, NVIDIA SHIELD transforms the living room entertainment experience with 4K streaming, advanced gaming and Android TV. It also comes with NVIDIA GeForce® NOW™, the only game-streaming service that delivers GeForce GTX gaming to the TV instantly.
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NVIDIA (NASDAQ: NVDA) is a computer technology company that has pioneered GPU-accelerated computing. It targets the world's most demanding users -- gamers, designers and scientists -- with products, services and software that power amazing experiences in virtual reality, artificial intelligence, professional visualization and autonomous cars. More information at http://nvidianews.nvidia.com/.