Committed to the research and development and production of industrial control chassis, server chassis, portable computers, reinforced notebooks, customized servers, distributed storage servers, GPU supercomputing servers, AI servers and various computer peripheral products
Deep learning, AI, edge computing,Cloud storage, cloud computing, big data, security monitoring, LOT, etc.
C04 uses four high computing power nodes in the server, a brand-new algorithm design, a single computing power of 1200mhash ± 10%, an average power consumption of 320W, green environmental protection, energy saving and noise reduction, convenient maintenance, high income, and short payback period. It subverts the traditional GPU computing power mode and opens a new milestone.
Components | Specification |
Size | 720mm(D) X 430mm(W) X 44.mm(H), Standard rack mounted server chassis. |
FPGA | Xilinx Zynq UltraScale+MPSoC, XCZU19EG, ARM Cortex-A53 dual core, 1M L2 cache, 1.5GHz Main frequency. |
RAM | PS: 2G DDR4,PL: 8G DDR4. |
Network | 4*GbE. |
Dissipate heat | Air cooling or natural heat dissipation. |
Calculating | Single chip motherboard 300Mhash/s±10%,complete machine1200Mhash/s±10%. |
Power waste | Single board 80W, complete machine 320W. |
Applicarion | Deep learning, AI, edge computing, etc. |
Working temperature | 0℃-55℃. |
Relative humidity | -10%-70%RH. |
Operating system | Linux,kernel4.14.0. |
Product Features: | |
1.Conformed with EMC design standard to prevent from electromagnetic interference. | |
2.Support Xilinx Zynq UltraScale+MPSoC, XCZU19EG, ARM Cortex-A53 dual core, 1M L2 cache, 1.5GHz Main frequency.. | |
3. Calculating Single chip motherboard 300Mhash/s±10%,complete machine1200Mhash/s±10%. |
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Tina
+86-13530663210
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sales01@chinatoplon.com
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