SuperCharge Your Research With The Tesla Preconfigured Cluster
Ready-to-Deploy Preconfigured Clusters Complete with Tesla S1070 GPU 1U Systems and CPU Servers Available NowFor further information, contact:
FOR IMMEDIATE RELEASE:
SANTA CLARA, CA—MAY 4, 2009—NVIDIA and its partners today announced the immediate availability of the Tesla™ GPU Preconfigured Cluster, a ready-to-power-up, off-the-shelf solution that enables researchers and IT managers to easily add GPU computing capabilities to their existing datacenter systems.
Tesla GPU Preconfigured Clusters provide up to 30 times the performance of CPU-only solutions, enabling IT managers to deploy smaller, more computationally dense systems. These consume substantially less power -- which creates substantially lower costs -- while still meeting the increasing demands of such applications as computational fluid dynamics, molecular dynamics, seismic processing and financial computing.
French banking giant BNP Paribas’ Corporate and Investment Banking division recently replaced 500 traditional CPU cores, consuming 25 kW, with a smaller cluster consisting of CPU servers and two Tesla S1070 1U systems, which consume only 2kW. Taking into account the dramatic acceleration achieved using Tesla GPUs, the lower power cluster enabled BNP Paribas to consume 190-times less electricity than before.
The increasing momentum being experienced by GPUs in the high performance computing segment today demonstrates a clear industry need for accessible computing solutions.
“There are 15 to 20 million engineers, scientists and researchers around the world struggling for time on supercomputers, which has led to a huge pent-up demand for computation,” said Andy Keane, general manager of the Tesla business at NVIDIA. “With the launch of the Tesla Preconfigured Cluster, every one of them can easily deploy a GPU-powered supercomputing cluster that dramatically reduces their power consumption while still advancing the pace of their work.”
”Time on a supercomputer can be extremely difficult to get, especially since some of our computations run for weeks to months. Also, buying a supercomputer is expensive for every university research group,” said Axel Kohlmeyer, associate director at the Center for Molecular Modeling at the University of Pennsylvania. “Since we got access to a Tesla GPU enabled cluster, we can run our molecular dynamics algorithms up to 100X faster and more importantly run bigger and more complex simulations and do research that was impossible to do before – this is game changing for us.”
Tesla Preconfigured Clusters consist of x86 CPU servers coupled with Tesla S1070 1U GPU systems. Configurations start at 16 Teraflops of performance, delivered by four Tesla S1070s, each containing four Tesla 10-series GPUs. All systems include host servers, infiniband switches, cabling and are fully customizable to suit individual customer needs.
Tesla GPU Preferred Partners around the world including AMAX, Appro, CADNetwork, Colfax, Cray, Depo, E4, FluiDyna, HPC Technologies, Inspur, JRTI, Megware, Microway, NetWeb, PCPC, Penguin, Silicon Mechanics, Sprinx, T-Platforms, Viglen and Xenon are offering Tesla Preconfigured Clusters today. For more information on their products and services, please visit: www.nvidia.com/object/tesla_preconfigured_clusters_wtb.html.
Certain statements in this press release including, but not limited to, statements as to: the benefits, features, impact, and capabilities of the NVIDIA Tesla GPU Preconfigured Cluster; are forward-looking statements that are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: development of more efficient or faster technology; adoption of the CPU for parallel processing; design, manufacturing or software defects; the impact of technological development and competition; changes in consumer preferences and demands; customer adoption of different standards or our competitor's products; changes in industry standards and interfaces; unexpected loss of performance of our products or technologies when integrated into systems; as well as other factors detailed from time to time in the reports NVIDIA files with the Securities and Exchange Commission including its Form 10-K for the fiscal period ended January 25, 2009. Copies of reports filed with the SEC are posted on our website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances.
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