![]() ![]() The first one is from the 2010 generation (and it’s likely you can still find it in some farms), and the second one has been released in 2012. ![]() You will notice that the second one is 23% faster than the first one, even if it has a slightly lower frequency. They have the same number of cores and almost the same core speed. The two CPU servers are from the Intel brand, especially from the Xeon line: Xeon X5670 2.93GHz and Xeon E5-2667 2.90GHz. ![]() Let’s take two server CPUs as an example. Let’s take a depth look into this subject: According to Render Street, the definition can be ambiguous or misleading. Users often find it hard to understand how the render farm pricing works and render farms find it hard to estimate the rendering cost. The common point of these render farms is they offer the SaaS model.įrom my point of view, the cost calculation by GHz hour or OB hour is not the good one. Some render farms that apply the cost calculation by Ghzh and OBh are RebusFarm, GarageFarm, RanchComputing, etc. It means that the price per node-hour is: 192*0.003 = 0.576$/node/hour. Here’s the list of GPUs and their Octancebench score created by Otoy.Ī render node, for example, has 1x GTX 1080Ti, the Octanebench score is 192 and the price per Octanebench hour (OB hour) is $0.003. If your score (or Octanebench score) is under 100, your GPU is slower than the GTX 980 we used as a reference, and if it’s more your GPU is faster. The ratio is weighted by the approximate usage of the various kernels and then added up. The score is calculated from the measured speed (Ms/s or mega samples per second), relative to the speed Otoy measured for a GTX 980. OctaneBench is currently the most popular GPU Rendering Benchmark created by Otoy as a tool to define the general compute power afforded by any combination of graphics cards in a computer. ![]()
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