The XY77C-B7079 is third generation of the 8 GPU server platform that helped pioneer the GPGPU industry. Featuring two Xeon E5-2600 v3/v4 processors and a quartet of Avago/PLX PEX8747 PCIe chips, the XY77C-B7079 supports 8 GPUs with a 2:1 oversubscription of each x16 root port. This architecture lends itself to high amounts of CPU to GPU bandwidth across pairs of GPU cards and is ideal for embarrassingly parallel workloads such as BLAST searches, brute force cryptography, parallel rendering, large scale facial recognition, numerical weather prediction workloads, and many others. The platform also enables outstanding performance in artificial intelligence, machine learning, and deep neural network applications.
Maintains a list of GPU and Xeon Phi coprocessor cards that have passed rigorous validation testing, ensuring reliability during the most intensive of workloads. GPU cards with a TDP of up to 300W have passed validation testing, including Nvidia's Tesla K80 and P100. An array of hot swappable and redundant fans deliver enormous amounts of airflow, allowing the platform to cool even the hottest of accelerator cards.
XY77C-B7079 has seen adoption and been proven within some of the world's largest datacenters. The same technology relied upon by the top tiers of the world's leading internet service providers is available for production within your enterprise, corporate data center, or research university.
● 4U Rackmount
●Dual Socket Xeon E5-2600 v3/v4
● Dual LGA2011 Sockets / Intel C612 chipset
● (12+12) DDR4 DIMM slots
●(2) 10 GbE / GbE LOM
● (10) hot-swap 3.5"/2.5" HDDs
●(13) PCI-E (8 PCI-E Gen.3 x 16 slots included for max. 8 NVIDIA GPUs)
Target Applications:
● Bio-Informatics, Life Sciences and Computational Chemistry
● Electronic-Design Automation
● Computational Finance and Computational Fluid Dynamics
● Computer Vision and MATLAB Acceleration
● Data mining, Analytics and Databases
● Imaging, Molecular Dynamics, Weather, Climate Modeling and Atmospheric
● Oil, Gas and Petroleum Exploration
●Physic and Scientific Research
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