Items tagged with gtc2016

Artificial Intelligence is sort of the holy grail of computing, and while we may never reproduce the human brain or it's capabilities in their entirety in electronic form, the world's brightest minds are now capable of creating rather convincing systems that are beginning to learn more sophisticated concepts and even learn on their own. IBM is proving that with its constantly improving Watson cognitive computing technology, which one day might have us struggling to perceive the line between AI and organic intelligence. You might be surprised at the progress that's been made. In the early 1990s,... Read more...
Yesterday, during his keynote address at GTC 2016, NVIDIA CEO Jen-Hsun Huang made a number of interesting announcements and disclosures. We saw Apple co-founder Steve “Woz” Wozniak take a virtual tour of Mars and witnessed the official unveiling of NVIDIA’s Tesla P100, which is based on the company’s bleeding-edge, GP100 GPU. GP100 leverages NVIDIA’s forward-looking Pascal GPU architecture and features 16GB of HBM2 memory, all built using TSMC’s 16nm FinFET manufacturing process. The GP100 is massive with a 600mm2 die, which is about the size of current gen high-end Maxwell GPUs, though when you... Read more...
At the GPU Technology Conference (GTC), currently taking place in San Jose, California, NVIDIA showed the first public demo of a virtual reality experience dubbed Mars 2030. Mars 2030 was developed by FUSION in coordination with NASA using scientifically accurate data to create the terrain, lighting models, gravity models, and the habitats in the virtual world. Even the sounds of the rover used to traverse the virtual Mars terrain were recorded and accurately reproduced in the demo. During the GTC opening keynote, NVIDIA CEO Jen-Hsun Huang introduced Mars 2030 to Apple co-founder -- and big proponent... Read more...
NVIDIA just pulled the wraps off its fastest GPU and compute engine yet: the Tesla P100. This new GPU powerhouse is based on NVIDIA’s next generation Pascal architecture, which means that it’s built on a 16nm FinFET process. But even with thoroughly modern FinFET process tech, the Tesla P100’s die size measures 600mm2 due in part to the 15.3 billion transistors that comprise the new compute engine — nearly twice that of Maxwell, for reference. The specifications of the Tesla P100 are second to none, as double-precision performance is rated at 5.3 teraflops (TFLOPs), while single-precision performance... Read more...