I'm using this on Linux, so the first two lines won't apply to you. Besides that, you are completely right, llama.cpp with the SYCL backend and MTP is the fastest way to run LLMs on Intel Arc GPUs, it's just braindead people and bots on Reddit repeating the same line while they run a NVIDIA GPU and Ollama.

source /opt/intel/oneapi/setvars.sh
/opt/llama.cpp-sycl/bin/llama-server \
  --model /path/to/your/model/Qwen3.8-27B-UD-Q6_K_XL.gguf \
  --device SYCL0 \
  --n-gpu-layers 999 \
  --load-mode none \
  --flash-attn on \
  --jinja \
  --reasoning-preserve \
  --ctx-size 100000 \
  --cache-type-k q8_0 \
  --cache-type-v q8_0 \
  --temp 1.0 \
  --top-p 0.95 \
  --top-k 20 \
  --min-p 0.00 \
  --presence-penalty 0.0 \
  --repeat-penalty 1.0 \
  --spec-type draft-mtp \
  --spec-draft-n-max 2 \
  --port 9931