Understanding PCIe 4.0 vs PCIe 5.0 GPU Slots
r/StableDiffusion
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AI Hardware
The general consensus here is that 4.0 vs 5.0 is negligible on 5.0 capable GPUs. However, I’m wondering if that is actually the case when working with models larger than the GPU’s VRAM. As I understand it, large models can be partially offloaded onto RAM and only passed to the GPU when needed. Let’s say the actual UNet is larger than the available