Featured Articles

Gainward GTX 970 Phantom previewed

Gainward GTX 970 Phantom previewed

Nvidia has released two new graphics cards based on its latest Maxwell GPU architecture. The Geforce GTX 970 and Geforce GTX…

More...
Snapdragon 400 is Qualcomm’s SoC for watches, wearables

Snapdragon 400 is Qualcomm’s SoC for watches, wearables

We wanted to learn a bit more about Qualcomm's plans for wearables and it turns out that the company believes its…

More...
Qualcomm sampling 20nm Snapdragon 810

Qualcomm sampling 20nm Snapdragon 810

We had a chance to talk to Michelle Leyden-Li, Senior Director of Marketing, QCT at Qualcomm and get an update on…

More...
EVGA GTX 970 SC ACX 2.0 reviewed

EVGA GTX 970 SC ACX 2.0 reviewed

Nvidia has released two new graphics cards based on its latest Maxwell GPU architecture. The Geforce GTX 970 and Geforce GTX…

More...
Nvidia GTX 980 reviewed

Nvidia GTX 980 reviewed

Nvidia has released two new graphics cards based on its latest Maxwell GPU architecture. The Geforce GTX 970 and Geforce GTX…

More...
Frontpage Slideshow | Copyright © 2006-2010 orks, a business unit of Nuevvo Webware Ltd.
Thursday, 28 October 2010 09:33

Nvidia chips power fastest supercomputer

Written by Nick Farell
nvidia

Someone has to buy them
Chips made by the Green Goblin are powering a supercomputer that the graphics chip supplier claims has achieved the fastest speeds to date.

The Chinese "Tianhe-1A" has hit 2.507 petaflops, using 7168 Nvidia Tesla M2050 GPUs and 14,336 Intel Xeon CPUs. It beats another Chinese supercomputer also using Nvidia chips called Nebulae, which can manage 1.271 petaflops when the wind is behind it and it is going downhill. Nebulae is the second fastest in the world based on the Top500 June list.

Nvidia said that the "Tianhe-1A" will not only be the fastest but will also be greener. It only consumes only 4.04 megawatts, making it three times more power efficient than a CPU-only system.

Tesla chip marketing manager Sumit Gupta said applications of the "open science project" will include astrophysics, material science, and bio-chemistry. Nvidia is also working with laboratories and universities in the U.S.

blog comments powered by Disqus

 

Facebook activity

Latest Commented Articles

Recent Comments