Accelerate your most demanding HPC and hyperscale data center workloads with NVIDIA ® Data Center GPUs. Data scientists and researchers can now parse petabytes of data orders of magnitude faster than they could using traditional CPUs, in applications ranging from energy exploration to deep learning.NVIDIA’s accelerators also deliver the horsepower needed to run bigger simulations faster ... An NVIDIA Tesla “Fermi” M2050 is not as fast as an ATI 5870. According to the wiki, the NVIDIA card makes around 70Mh/s and the 5870 makes around 400Mh/s.. If they were similar and if Amazon had that amount of cards available for rent, then it would be possible.Just don't forget that you would be paying $65415 per hour to sustain an attack that will not give you that much power over the ... NVIDIA Tesla M2050 3GB 152 4 575 773 386.07 225W Temp 78C, Via HW Info EWBF 0.3.4b3 Windows 10 x64 Used AWS g3_x8Large Tesla M60 175 Temp 77℃ EWBF 0.3.4b Ubuntu 16.04 g3_x8Large = 2GPU = 175*2 = 350 Sol/s NVIDIA Tesla V100 16Gb 963 sol/s 1530 1754 260 Temp: Constant 55C .... x4 GPU = 3852 sol/s, 1040w EWBF 0.3.4b3 Ubuntu 16.04 Druid_Drew 8000 ... Graphics cards AMD (ATI) To get the maximum performance use the 2.1 release of the ATI Stream SDK. 2.2 wastes CPU time, and 2.3/2.4 drop mining performance by 5-10% unless using the Phoenix phatk kernel. The NVIDIA ® M10 GPU works with NVIDIA GRID ® software to deliver the industry's highest user density for virtualized desktops and applications. It supports up to 32 users per board (1GB profile), up to 96 users per server, giving businesses the power to deliver great experiences to all of their employees at an affordable cost.
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