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It can run the full production V-Ray. Do you need another argument?
Best regards,
Vlado
surely, but my understanding is that its not just plug and play, so you do need to write something (not sure what) to make it work with vray as it has its own os right? So not really knowing how much work will go into that, its still time and effort to make it work and obviously with that you will introduce bugs which will need to be resolved etc etc, at present phy has 60 1 ghz cores, so that is why I am wondering, the cost and time weighs in favor of gpu?
surely, but my understanding is that its not just plug and play, so you do need to write something (not sure what) to make it work with vray as it has its own os right? So not really knowing how much work will go into that, its still time and effort to make it work and obviously with that you will introduce bugs which will need to be resolved etc etc, at present phy has 60 1 ghz cores, so that is why I am wondering, the cost and time weighs in favor of gpu?
For the GPU, we had to rewrite everything from the ground up, and we still have work to do. (This is also in part why it's so much faster than a CPU - it is a way simpler renderer.) Every feature that we want to support on the GPU, we need to code separate and try to make sure, as much as possible, that it produces a similar result to the production renderer. Whatever we have to do for the Xeon Phi, the efforts involved will be much much much less.
Lets just hope intel doesn't drop this design after few years of trial and error.
Even if they do, we would have only spent a small amount of time on it. It would be a much bigger letdown if nVidia dropped CUDA, which I sincerely hope won't happen anytime soon
Yea its like SSD but a tad faster... SSD goes at 500mb/s PCIE SSD goes at 900mb/s if we lucky... this goes quite a bit faster so it should serve as an best option if there would be a need to use PHI with large data sets... if it would work.
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