Forum: Poser - OFFICIAL


Subject: OT: How much memory do you have and how does it help you with Poser?

josterD opened this issue on Dec 12, 2010 · 51 posts


klown posted Tue, 14 December 2010 at 3:56 PM

**CPU:**Daz Studio and Poser are not muti core aware (until you render) so if you have a quad core or six core CPU with multithread technology your system will use one core at the CPU's speed, which is roughly 13% of it's power for everything you do outside of rendering. Your $1200.00 starte of the art CPU is not even breaking a sweat at 13% and not giving you much help in your setup.

 

When you render in 3Delight, Firefly, Lux, etc. you generally use all cores at full power but you can change that either through a command prompt or the render interface, so this is where your CPU is pinning at about 100%

 

RAM:

32 bit OS by default use 2 GB of RAM per application, this can be changed to a maximum of 3 GB of RAM per application and the system tops out at 4 GB RAM total for everything (The exceptions are Windows Enterprise Server OS's)

64 bit OS's can allocate a theoretical limit of several thousand GB, but that does not exist.

but most 64 bit OS's have a actual limit imposed on them. Windows 7 limits range from 8 to 196 GB of RAM. Mac OS does not impose the limits but the systems themselves do because of the actual Mac systems. Currently very few affordable motherboards allow more than 16GB of RAM to be installed, end of story. More RAM will allow you to work with bigger scenes and render them but the speed increase between 4GB and 16GB on a system is hardly going to be noticeable, so shoving a box full of RAM is not the solution, and if your running a commercial 32 bit OS  (Mac OS X or Windows) 4GB is the absolute limit.

 

Video Card:

Your GUI for any application is tied in with the video card. If you are trying to move around the screen and the system is hesitating the CPU and RAM play a part but the video card actually plays a bigger part in speeding things up (or slowing it down if you have a crappy card)

At the time I write this some rendering engines are looking at using the power of the GPU in the card to assit in rendering which may actually have a bigger impact than CPU rendering.