Supermicro Launches New NVIDIA Tesla GPU SuperServers Optimized for Extreme Computing Parallel

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Supermicro Launches New NVIDIA Tesla GPU SuperServers Optimized for Extreme Computing Parallel -

Supermicro began its new 1U platform 4x GPU SuperServer 2015 NVIDIA GPU Technology Conference (GTC) in San Jose, California. The new SYS-1028GQ TRT supports up to 4 NVIDIA Tesla K80 dual-GPU accelerators (up to 300W) with a simplified layout architecture that enables PCIe direct connection for improved signal integrity and eliminating complex cabling, repeaters, and GPU preheat the maximum airflow and cooling.

The new Supermicro system also supports dual Intel Xeon E5-20 (up to 145W), up to 1TB ECC LRDIMM, 512GB ECC RDIMM, DDR4-2133MHz in 16 DIMM slots, 2x 2.5 "SATA hot-swap plus 2x 2.5" internal hard drives, two 10GBASE-T ports and intelligent, cold 00W redundancy (1 + 1) Titanium level high-efficiency power supplies. This high density computing platform is suitable for high performance computing clusters, 3D CAD / CAM / CAE, clouds and visualization, oil and gas, and learning applications in depth.

supermicro-servers "Our expertise in optimizing computing density, performance and fuel efficiency is demonstrated in our latest GPU 1U SuperServer which supports up to four NVIDIA GPUs and accelerators two processors powered by our highest efficiency redundant Titanium cold supplies digital power level, "said Charles Liang, president and CEO of Supermicro . "With a wide range of platforms SuperServer in 2U GPU 6x, 4U 8x GPUs, 4U 4-node FatTwin 12x GPU and 7U SuperBlade supports 30x GPU, Supermicro offers an unparalleled range of flexible configurations to meet all computing challenges intensive large scale. "

NVIDIA Tesla GPU accelerators are a Supermicro NVIDIA Tesla key component of Accelerated Platform Computing.

" new servers to high density Supermicro offer a range of IT solutions for HPC clients and businesses, "said Sumit Gupta, CEO of accelerated computing at NVIDIA . "Designed to take full advantage of ultra-high performance Tesla GPU accelerators while minimizing energy consumption, the servers provide new levels of performance saving energy for the analysis of data intensive computing, deep learning and scientific applications. "

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