Guest blog post by Sumit Gupta, Senior Director, Tesla GPU Computing, NVIDIA

Every server manufacturer announced support last week for the new Intel Sandy Bridge CPUs in their new models. That includes PC giant Dell, which announced, for the first time, that it is supporting Tesla GPUs in its mainstream Dell PowerEdge R720 servers. And, our new benchmarks demonstrate why.

The PowerEdge R720 is, by far, one of the most popular servers in the Dell server portfolio, one of the highest volume servers in the world, and often a top choice for IT organizations. The plethora of enterprise-ready peripheral options and highly flexible configurations make the server an easy purchase decision.

By including Tesla GPUs in the top-selling Dell server, GPU computing is now truly available to the mass market.  And, the mass market can now take advantage of GPU acceleration for a broad range of applications.

We benchmarked the new Dell PowerEdge R720s with two Tesla M2090s GPUs using the popular computational bio-chemistry applications NAMD, AMBER, and LAMMPS.  Results are below.



In all benchmarks, the Dell systems that included two GPUs were considerably faster than CPU-only configurations – anywhere from three to six times faster.

So the most popular Dell servers just got better…and much, much faster.

The Dell R720 configuration we benchmarked is:

Dual socket Intel Xeon® E5-2650L 1.80GHz (Sandy Bridge), 16 cores total
64 GB, 1066 Mhz DDR3 (32 GB per CPU)
Two Tesla M2090 GPUs
Redhat Enterprise Linux (RHEL) 6.2
NVIDIA driver version 295.20
Detailed data below:

About Sumit Gupta

 Sumit Gupta joined NVIDIA in 2007 and serves as a senior manager in the Tesla GPU Computing HPC business unit, responsible for marketing and business development of CUDA-based GPU computing products. Previously, Sumit has served in a variety of positions, including product manager at Tensilica, entrepreneur-in-residence at Tallwood Venture Capital, and chip designer at S3 Graphics. He also served as a post-doctorate researcher at University of California, San Diego and Irvine, and as a software engineer at IBM and IMEC, in Belgium.

Sumit has a Ph.D. in Computer Science from the University of California, Irvine, and a B.Tech. in Electrical Engineering from the Indian Institute of Technology, Delhi. He has authored one book, one patent, several book chapters and more than 20 peer-reviewed conference and journal publications.