Check this out ! Does this mean Bigadv has had its day and the return of the (nvidia) GPU farm is coming again ? Is it time to put the xeons/opterons on ebay and invest in nvidia cards - looks like nvidias help in producing a cuda client is paying well for them. Or is this all because of advances made in gromacs 4.6 Thing is what do they mean by equal points for work done ? You have to consider the average GPU work unit contains only 1980 atoms while a bigadv has 1340422 so totaly different. One performed in a gravity field and the other in water with loads of molecules. Does this mean a GPU can fold a bigadv if it has enough memory ? No one can answer these questions as yet but the Pande group is starting to get on my nerves. We all bought GPUs for folding and then cpus and now it looks like GPUs again. This equal points system should of been used in the first place and propper clients produced for both amd and nvidia cards. I am starting to wonder if the evil lure of hard cash is behind some of this as folding@home has got to be selling a lot of hardware due to all this chopping and changing. I want to contribute to help sick people get better not fill the pockets of the likes of Nvidia or provide free research for rip off drug companies. Starting to smell a bit of a rat here (probably my socks) If all types of calculation can now be done on the gpu will that make cpus pretty much redundant for folding with the amount of gigaflops a gpu can process compared to cpu ? This is the proof of what this could mean for cpu folders ! http://ambermd.org/gpus/benchmarks.htm#Benchmarks Heres the official statement - current benchmarking calculations for SMP and GPU projects are performed on different machines since originally the SMP cores could not perform the calculations that the GPUs cores could and vice versa (GPUs were only for implicit solvent calculations and SMP only for explicit solvent calculations). With recent advances in both cores and completion of our testing of these capabilities to ensure agreement, we are now confident we can do the same work on both cores. Thus, we feel that it is time to unify GPU and SMP benchmarking, both for simplicity and fairness. In order to complete the move towards this plan of "equal points for equal work," new GPU projects will be benchmarked using the existing SMP benchmarking scheme. Based on our internal tests, the end effect of this new, unified benchmarking scheme would boost the points for the GPU projects, both in terms of base points but also by bringing Quick Return Bonuses to GPU clients. In order to test the new scheme, we have started a GPU3 project (Project ID: 8057) and released it for beta testing. Once the benchmarking scheme has been tested, all the current GPU projects will be re-benchmarked to reflect the changes in the benchmarking scheme.