After registering, you get your very own web dashboard where you can easily create your personal windows instances on top of our servers, and go back to them just as you left them whenever you need to. Our powerful, dedicated GPU servers are at your disposal for GPU 3d rendering, processing Big Data, or any task that can benefit from parallel processing. Imagine what you could do with an additional workstation containing Ti’s! When working against a deadline, every second counts. Some projects might actually even benefit from rendering over a couple of machines with multiple GPU cards. Having the performance capabilities of a server like ours can be a godsend when you’re dealing with turnarounds for complex scenes, or scenes with elaborate dependencies that would produce complications when rendering over a network. GPU: 10 x NVIDIA GeForce GTX 1080 Ti, 11GB.CPU: 2x Intel Xeon CPU E5-2620 v4 2.10 GHz.Here’s a quick rundown of the specs of our servers: None of the original render settings were manipulated (except of course for switching the device to GPU rendering and adjusting the tile sizes appropriately). In any case, here are manual renders of a frame from each of the benchmark scenes with the resulting times. The Blender open data benchmarking tool itself is also in beta at the time of this recording, and sadly wasn’t working for us. With Blender 2.8 well into its beta stage, we thought it would be fun to test one of our servers on the Blender open data benchmark scenes and let you guys have a look at the resulting render times for each. Have you ever wondered what it would feel like to harness the power of ten GTX 1080 Ti cards? Wonder no more! Our dedicated GPU rental service does just that.
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