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At the SC13 conference Nvidia Corp. unveiled the Tesla K40 GPU accelerator, which delivers extreme performance to a widening range of scientific, engineering, high performance computing (HPC) and enterprise applications. The new Tesla K40 is based on fully-fledged GK110 graphics processing unit and comes with massive 12GB of GDDR5 memory.

Thanks to 2880 stream processors and 12GB of fast GDDR5 memory, Nvidia Tesla K40 provides up to 40% higher performance than its predecessor, the Tesla K20X GPU accelerator, and 10 times higher performance than today's fastest CPU. Tesla K40 GPU is the world's first and highest-performance accelerator optimized for big data analytics and large-scale scientific workloads, according to Nvidia. The Tesla K40 GPU accelerator surpasses all other accelerators on two common measures of computational performance: 4.29TFLOPS single-precision and 1.43TFLOPS double-precision peak floating point performance.

Featuring intelligent Nvidia GPU Boost technology, which converts power headroom into a user-controlled performance boost, the Tesla K40 GPU accelerator enables users to unlock the untapped performance of a broad range of applications.

The Tesla K40 GPU accelerates the broadest range of scientific, engineering, commercial and enterprise HPC and data center applications. Today, more than 240 software applications take advantage of GPU acceleration. The complete catalog of GPU-accelerated applications is available as a free download.

"GPU accelerators have gone mainstream in the HPC and supercomputing industries, enabling engineers and researchers to consistently drive innovation and scientific discovery. With the breakthrough performance and higher memory capacity of the Tesla K40 GPU, enterprise customers can quickly crunch through massive volumes of data generated by their big data analytics applications," said Sumit Gupta, general manager of Tesla accelerated computing products at Nvidia.

Shipping today, the Nvidia Tesla K40 GPU accelerator is available now and in the coming months from a variety of server manufacturers, including Appro, ASUS, Bull, Cray, Dell, Eurotech, HP, IBM, Inspur, SGI, Sugon, Supermicro and Tyan, as well as from Nvidia reseller partners.

In a related announcement, the Texas Advanced Computing Center (TACC) at The University of Texas at Austin – one of the leading advanced computing centers in the United States – plans to deploy “Maverick”, a new interactive, remote visualization and data analysis system powered by Nvidia Tesla K40 GPU accelerators. Maverick is expected to be fully operational in January 2014.

"The Tesla K40 GPU accelerators will help researchers crunch through massive volumes of big data and gain new insights through large-scale, sophisticated visualizations. With Nvidia GPUs, Maverick will provide researchers powerful interactive capabilities to advance their most complex scientific challenges," said Kelly Gaither, director of visualization at TACC.

Tags: Nvidia, Tesla, Kepler, GK110, 28nm, GPGPU


Comments currently: 4
Discussion started: 11/19/13 07:53:18 AM
Latest comment: 11/19/13 02:37:41 PM
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1 2 [Posted by: zlobster  | Date: 11/19/13 07:53:18 AM]

Why do such big companies feel the need to lie ?!

Here's an excerpt from AMD's press release about their compute accelerator card that was released a week ago:

"AMD FirePro S10000 12GB server graphics card is based on two Tahiti graphics processing units with 12GB of GDDR5 memory with ECC and delivers up to 5.91 TFLOPS of peak single-precision and 1.48 TFLOPS of double-precision floating-point performance. "

Therefore, how can Nvidia claim that their solution :

"The Tesla K40 GPU accelerator surpasses all other accelerators on two common measures of computational performance: 4.29TFLOPS single-precision and 1.43TFLOPS double-precision peak floating point performance" ?

Yes. It's single chip and that's an obvious advantage, but why say that you offer higher peak performance when, in fact, you don't.
2 1 [Posted by: East17  | Date: 11/19/13 08:14:05 AM]
- collapse thread

Mr Huang snorted some coke before dictating to his press release secretary. He's doing a lot of drugs these days - uppers, downers you name it - all in the hope to escape the reality of hot AMD competition. Mr Huang's had it so good for so long, with AMD fighting a very tough battle with Intel. Now with AMD's resources more sharply focussed, Nvidia will start to get smacked from better AMD GPU products. But the greater chip war shaping up is Intel + Nvidia vs ARM + AMD + HSA Consortium.
1 1 [Posted by: linuxlowdown  | Date: 11/19/13 09:16:14 AM]


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