Stefan Mileschin

NVIDIA's Tesla GPUs are already mainstays in supercomputers that need specialized processing power, and they're becoming even more important now that the company is launching its first Tesla built for large-scale projects. The new K40 accelerator only has 192 more processing cores than its K20x ancestor (2,880, like the GeForce GTX 780 Ti), but it crunches analytics and science numbers up to 40 percent faster. A jump to 12GB of RAM, meanwhile, helps it handle data sets that are twice as big as before. The K40 is already available in servers from NVIDIA's partners, and the University of Texas at Austin plans to use it in Maverick, a remote visualization supercomputer that should be up and running by January.

As part of the K40 rollout, NVIDIA has also revealed a partnership with IBM that should bring GPU-boosted supercomputing to enterprise-grade data centers. The two plan on bringing Tesla GPU support to IBM's Power8-based servers, including both apps and development tools. It's not clear when the deal will bear fruit, but don't be surprised if it turbocharges a corporate mainframe near you.

http://www.engadget.com/2013/11/18/n...&ncid=rss_semi