Does a GPU rendered scene gets loaded in the GPU to get rendered there?
polycounter lvl 2
I have a half decent laptop which gets stuff done, but I've recently got into a redshift course and I assume my 1050 2gb is soon going to be useless once i get to do renders. I can't afford a full rig for the time being, but I can get a decent gpu and i want to connect it externally. But i'm unsure about one thing, is my weak laptop going to affect the render itself? I have read the scenes you want to render are loaded into the gpu, and then the scene gets rendered in there without the pc performances having any impact on it. Is this correct?
Also, do you think it's a feasible option?
PS: I have been googling in different ways to get an answer but i can't seem to hit the correct keywords so far
Also, do you think it's a feasible option?
PS: I have been googling in different ways to get an answer but i can't seem to hit the correct keywords so far
Replies
What software are u using as a renderer?
What external connection for the video card does your laptop offer?
Octane is unbiased. Redshift can also use RAM for renders. I plan to get an 8gb card and i have no idea what limitations comes with it. What kind of scene can you render with it, and what kind can you not?
I'm getting skeptical about that and I might've not thought enough when starting that course
I might as well give my pc specs:
i5 7300hq that can boost to 3.5ghz
1050 2GB
12 ram
SSD memory
8 GB should be enough for most smaller scenes and if you are doing a course, I can't imagine them to expect you to have more.
Scenes can take more video ram than the file size of your scene and assets on disk, but roughly speaking if you don't plan to use a fully cinematic workflow with dozens of huge UDIMs per character/object and crazy high polycounts you should be fine.
For GPU rendering, you need to fit all the content into VRAM. Content generally means: meshes, textures, special effects, plus room for render buffers for various passes and post processing effects. The video card needs to have the data in its memory to render it. Some applications may allow you to page memory to system RAM but this is typically slow. It's worth noting that size on disk and size in VRAM are not the same thing. For instance, you can save your textures as PNG to make them smaller on disk, but this does not save VRAM.
Speed with a GPU renderer will depend on how fast your GPU is. When using a GPU renderer, there isn't much work for the CPU to do, so having a faster CPU doesn't make a difference. Note that this is not always the case, you may have animations or particle systems that are calculated on the CPU. It really depends on exactly how the app works.
Quality will depend on your render settings. Higher quality = slower render times. Assuming you can fit the scene into VRAM, an older/slower GPU is only a limiting factor in that it will take longer to render the scene than it would on a better card.
"Unbiased and bucket are exact synonyms" Not sure where to go from here. Agree to disagree? Else you'd have to help me understand where you're coming from. How do you define bucket? Are you using a specific rendering software? Something from Blender?
Yes, render speed is due to performance, but you initially implied biased render quality was due to performance, which would only make sense if you assume a fixed rendering time like it's offered (as an option) by some renderers.
On my render tests though my cpu is all on 100, how is that happening... if it's gpu rendering?