I’m on Arch Linux btw. and I have a RTX 3060 with 12 GB VRAM which is cool so a 14b model fits into the VRAM. It works quite well but I wonder if there is any way to help with the speed even more by trying to utilize the iGPU in my Intel 14600K. It always just sits there not doing anything.
But I don’t know if it even makes sense to try. From what I read in some comments on the internet, the bottleneck will be the ram speed in the iGPU, which will use my normal ram which is a magnitude slower than the VRAM.
Does anyone have any experience with that?
No, full models are not loaded into each GPU to improve the tokens per second.
The full Gpt 3 needs around 640GB of vram to store the weights. There is no single GPU (ai processor like a100) with 640 GB of vram. The model is split across multiple gpus (AI processers).