I did some test with V-Ray RT 3.6 and I am really satisfied with the speed and result. It was a real pleasure to work with it and we will definitely use it for our archviz stills and animations using GPU (we will invest more on GPU from now on). I most confess that I did some serious concern about stability and speed improvement of hybrid c++ CPU implantation in CUDA engine however it proved me that is a very very nice and solid implantation Chaos Group really must congratulate and thank you for this.
But, I think it needs improvements. In my tests in my benchmark scene and in some real-world, scene CPUs come to aid of GPUs when rendering time increase. In the scene, with low render time, it may not affect render time and even increase it a little bit (of course, it may depend on the scene and I only ran a few tests). Maybe, it was related to initiation time for the CPU implantation to start working (I am not sure about it).
I have capture one of my test to demonstrate it a little better. you can see the below video.
I used a machine with Intel CPU 5960X (OC, 4.1) and two GPU (one 1080ti and one 1080)
vray version was: 3.60.01
But, I think it needs improvements. In my tests in my benchmark scene and in some real-world, scene CPUs come to aid of GPUs when rendering time increase. In the scene, with low render time, it may not affect render time and even increase it a little bit (of course, it may depend on the scene and I only ran a few tests). Maybe, it was related to initiation time for the CPU implantation to start working (I am not sure about it).
I have capture one of my test to demonstrate it a little better. you can see the below video.
I used a machine with Intel CPU 5960X (OC, 4.1) and two GPU (one 1080ti and one 1080)
vray version was: 3.60.01
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