英語 での Nvidia tesla の使用例とその 日本語 への翻訳
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Powered by NVIDIA Tesla GPUs.
NVIDIA Tesla GPU powered the world's fastest supercomputer, China's Tianhe-1A.
Jobtype=gpup jobs shall run on NVIDIA Tesla P100 equipped nodes.
Equipped with NVIDIA Tesla GPUs, Titan gives scientists the speed they need to conduct many experiments in a short time.
The Quanta S210-X2A2J supports the latest NVIDIA Tesla GPU accelerators.
The calculation is run on an NVIDIA Tesla C1060 GPU card and execution time is just over three minutes.
Rather than SPARC processors,the ABCI system will use Intel Xeon processors with Nvidia Tesla GPU accelerators.
More information about NVIDIA Tesla GPUs is available at the Tesla website.
Tsubame 2.0 is comprised of HP ProLiant SL390servers with Intel Xeon CPUs accelerated by NVIDIA Tesla GPUs.
Many of the world's leading systems use NVIDIA Tesla accelerators, including the fastest supercomputers in 10 countries.
Disclosed that the world's 13 most energy-efficientsupercomputers on the Green 500 list run on NVIDIA Tesla accelerators.
Using the parallel processing power of NVIDIA Tesla and GeForce GPUs, Hobiger's team can now keep pace with the flood of information.
Scott Denham of IBM's Deep Computing Technicalteam speaks about why they selected NVIDIA Tesla GPUs for their new iDataPlex Servers.
All 13 use NVIDIA Tesla P100 data center GPU accelerators, including four systems based on the NVIDIA DGX-1™ AI supercomputer.
IBM(NYSE: IBM) reported that it is the firstmajor global cloud provider to make the NVIDIA Tesla P100 GPU accelerator accessible on the cloud.
The NVIDIA Tesla K20 GPU is the new flagship of the Tesla GPU product family, designed for the most computationally intensive HPC environments.
The current iteration of Lomonosov“1″ is benchmarked at 902 Linpack teraflops owning to more than 12,000 Intel CPUs,and 2,130 Nvidia Tesla X2070/X2090 GPUs.
AI Enterprise: IBM, which sees a $2 trillion opportunity in cognitive computing,announced a new POWER8 and NVIDIA Tesla P100 server designed to bring AI to the enterprise.
NVIDIA Tesla GPUs power the fastest supercomputers in the U.S., Europe and Japan; and were selected by the U.S. Dept. of Energy for two next-generation supercomputers.
Cray is not revealing much about the details of the hardware, other that the fact that it will be powered entirely by Skylake XeonCPUs(the XC50 has option to support NVIDIA Tesla GPUs).
Pairing NVIDIA Tesla K20 GPUs with Eurotech's Aurora Hot Water Cooling technology, the Eurora system is more efficient and compact than conventional air-cooled solutions.
Each platform is a 4U 2-way GPU barebones server, which embedded with(2)Intel Xeon 5520 series processors and(6) NVIDIA Tesla C2050 per each node, which will achieve a theoretical peak performance(Rpeak) of approximately 3TFlops in double precision.
NVIDIA Tesla processors were chosen by Oak Ridge National Laboratory, which will deploy 18,000 of them in its new machine,“Titan,” expected to be the world's fastest supercomputer, with the potential to deliver speeds of over 20 petaflops.
Each compute node is equipped with two Intel XeonE5-2620 v2 processors(Ivy Bridge EP) and four NVIDIA Tesla K80 GPU boards(two GPUs on a board) inside a 1U server to achieve extremely high density, accommodating forty-two nodes or 336 GPUs in one oil-immersion rack.
The Blue Waters system will be a powerful hybrid supercomputer with more than 235 Cray XE6 cabinets, and more than 30 cabinets of a future version of the recently announced Cray XK6 supercomputer,which includes next-generation NVIDIA Tesla GPUs based on the“Kepler” architecture.
The upgraded system couples 1,554 NVIDIA Tesla X2070 GPUs with an identical number of quad-core CPUs, delivering an expected 1.3 petaflops of peak performance, placing at number 1 in Russia and amongst the fastest systems in the world.
The supercomputer achieved the record-breaking achievement by combining 128 high-performance,energy-efficient NVIDIA Tesla K20 accelerators with the Eurotech Aurora Tigon supercomputer, featuring Aurora Hot Water Cooling technology, which uses direct hot water cooling on all electronic and electrical components of the HPC system.
Harnessing the power of 640 NVidia Tesla GPUs and providing up to 394 teraflops of peak performance, SAGA enables ISRO to accelerate and improve the design and analysis of new and existing satellite launch vehicles by enabling more complex and accurate design simulations.