I just noticed that you already had your device selected. I missed that on my phone - sorry.
@tay.alrawi can you still verify that Raytraced thinks it is using your GTX 1070 by clicking on the product name in the viewport as I outlined in my previous reply?
Remember also that rendering a simple scene as yours won’t put your device under high load. You may want to try a more intricate scene with more metal and glass materials assigned to visible objects.
You can also select multiple CUDA devices to take advantage of more computing power. You should be able to time your 10000 sample renders with one and with two CUDA devices and see if you get twice as fast results…
edit: to further investigate please paste the output of the command
_RhinoCycles_ListDevices. Its output looks like
We have 5 devices
Device 0: CPU > Intel Core i7-7700 CPU @ 3.60GHz > 0 | False | True | CPU
Device 1: OPENCL_NVIDIA CUDA_GeForce GTX 1060 6GB_04:00.0 > GeForce GTX 1060 6GB > 0 | True | True | OpenCL
Device 2: OPENCL_AMD Accelerated Parallel Processing_Radeon (TM) Pro WX 9100_03:00.0 > Radeon Pro WX 9100 > 1 | True | True | OpenCL
Device 3: OPENCL_Intel(R) OpenCL_Intel(R) HD Graphics 630_ID_2 > Intel HD Graphics 630 > 2 | True | True | OpenCL
Device 4: CUDA_GeForce GTX 1060 6GB_0000:04:00 > GeForce GTX 1060 6GB > 0 | False | True | CUDA
Also, once you’ve selected the CUDA device and closed the options page, please find and attach the XML file
%APPDATA%\McNeel\Rhinoceros\6.0\Plug-ins\RhinoCycles (9bc28e9e-7a6c-4b8f-a0c6-3d05e02d1b97)\settings\settings-Scheme__Default.xml (you can copy-paste this location in the address bar of Windows Explorer
HUD telling me that I have both GTX and Radeon Pro in use through OpenCL
Note that Task manager doesn’t properly tell GPU usage. It says 20-50% for GTX and 0% for Radeon Pro, but the GTX is almost maxed according GPU-Z and Radeon Pro is around 75%