If you're running dual Intel Arc GPUs with llama.cpp and your system RAM maxes out during multi-GPU inference, even though the model fits in VRAM, this post explains why and how to fix it. I've been running dual Arc Pro B70s (32GB each, 64GB total VRAM) for local LLM inference with llama.cpp's SYCL