It'd be a heck of a lot cheaper than buying another card

No performance wouldn't change, but you potentially re-introduce bugs that have been fixed with newer driver versions. You should be able to use newer CUDA drivers with older CUDA runtime libraries, but not the other way round.pumeco wrote:Thanks again, Marcus, much appreciated.
Here's how my CUDA device setup looks now, so this is after removing the Octane 3.2 build, then installing 3.0.
It's noticeably faster now, but what I'm curious about is what it says at the top. It says the CUDA driver version is 3.20, but the CUDA Runtime version is 3.00. So does this mean I'm getting the current maximum performance for now, or should I downgrade the driver to match the Runtime?
As discussed several times before: That won't happen in the near future. And on the longer term the availability of graphics cards with more VRAM will become better, which removes any need to accept serious performance hits (I'm talking about things being 10-100 times slower) for larger memory.As for the possibly big secret positive side-effect with CUDA 4 ...
All I can say is that if it turns out to be the ability to share the graphics RAM between cards, that would be fantastic. This CUDA stuff is all pretty new to me, but even from my beginner point of view, I can think of no better icing on the cake as being able to pool the RAM from multiple cards and make the total available to Octane.
Yeah I know, I live in a fantasy land