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I have a GTX 1060 6GB in my current build, and I also have a GTX 960 2GB in storage.
I was wondering if I got one of these PCI Express X1 to X16 Extension Adapter, and got both of my GPUs in one build (not SLI or CrossFire, just in the same system) would I be able to use both GPUs for rendering simultaneously?
I don't care if this means having them both render separate tiles in one instance of Blender, or rendering separate frames in two instances. I'm using Cycles for everything I do.
You can, as long they are from the same brand (AMD, or NVidia) you should be able to use them simultaneously to render in Blender Cycles.
If you keep them out of any proprietary GPU pairing technologies setup like SLI or Crossfire, the operating system detects them as two discrete GPUs and see both graphics cards, Blender should be able to see them as discreet GPUs in the user preferences.
This will virtually decrease render times linearly, proportionally to each additional compute device performance, as opposed to pairing technologies which have significant performance penalties and lose efficiency with each additional GPU unit.
You can then prior to rendering select which one to use, or both simultaneously, if you want. You can also have each instance of Blender use its own GPU independently, although you will likely experience performance penalties caused by bottlenecks anywhere else in your system, namely available memory, and CPU resources for pre-processing your scene.
Under User Preferences > System > Cycles Render Device you can activate CUDA processing and pick from the list of available devices below to chose which ones to use for each running session. From the Properties Window > Render Properties you can then set the device to GPU while Cycles is set as active render engine.
Have in mind that when using multiple GPUs for rendering a single scene you will always be bound by the available memory on the card with the least VRAM amount. Since GPUs still can't share memory access, a copy if the whole scene must be fully loaded into each individual graphics card memory, so it must completely fit into the available RAM of every GPU, failing any of them will abort rendering.
