Amazon’s Alexa Fellowship expands to 14 more universities

Amazon is eager to get more bright minds working on voice technology, so it's expanding the Alexa Fellowship program to 14 more universities, including Massachusetts Institute of Technology, Texas A&M and Cambridge. The fellowships are financed t...

Watson-based cancer project paused after running aground

It's tempting to treat IBM's Watson as a cure-all: just throw some cognitive computing at the problem and you'll make everything better. That can only happen if it's well-implemented, however, and we've just seen what happens when things go awry. T...

Largest-ever math proof chews up 200TB of data

You've probably been asked to prove a math solution at some point, but never like this. Researchers have created the world's largest math proof while solving the Boolean Pythagorean triples problem, consuming a whopping 200TB of data -- the previous...

Napster co-founder’s new institute aims to beat cancer

Sean Parker is known for many things: co-founding Napster, joining Facebook in its early days, starting charities and creating his share of technology startups. If all goes well, though, he'll also add "helped cure cancer" to that list. He just found...

Scientists write with nanoparticles using a laser and a bubble

Nanoparticles are extremely small -- less than 100 nanometers in size -- but they can have a big impact on medicine, solar technology, batteries, computing and other industries. Nanoparticles are generally more reactive, stronger and more versatile t...

Hospital makerspace lets nurses build their own tools

Makerspaces are great for bringing your gadget ideas to life, but they're not usually much help to nurses who may want to invent (or improvise) tools needed to take care of their patients. That's where the University of Texas' new, permanent Maker...

NVIDIA unveils Tesla K40 accelerator, teams with IBM on GPU-based supercomputing

NVIDIA unveils Tesla K40, teams with IBM on supercomputing in the data center

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.

Filed under: , ,

Comments

Source: NVIDIA