docs: correct Dankclaw RAM figure (64 GiB, 61 GiB visible)

The box was upgraded from 32 GB to 64 GB. Two vLLM sizing pages
still stated 30 GiB physical RAM; rocm-smi reports 64 GiB and free
shows 61 GiB visible. Update the hardware tables and the ROCm
overcommit guidance to match.

Also removes the vllm-vulkan backend page, its index links, and the
frank-vk-compat plugin from the working tree. The vLLM service on
Dankclaw is being retired in favor of the CIRU llama.cpp runtime.

docs/Running Qwen3.6 27B FP8 on Dankclaw.md

@@ -26,7 +26,7 @@ Qwen3.6-27B is a dense vision-language model from the Qwen3.6 series. It uses 27
 |----------|-------|
 | CPU | AMD RYZEN AI MAX+ 395 w/ Radeon 8060S (Strix Halo) |
 | GPU | Integrated Radeon 8060S (unified memory) |
-| Physical RAM | 30 GiB (shared CPU + GPU) |
+| Physical RAM | 64 GiB (61 GiB visible; corrected 2026-08-17) |
 | GPU-Visible (ROCm) | 96 GiB (overcommitted) |
 | Swap | 8 GiB |
 | ROCm | 7.2.4 |
@@ -43,7 +43,7 @@ Qwen3.6-27B is a dense vision-language model from the Qwen3.6 series. It uses 27
 | Overhead | ~2 GB | ~2 GB |
 | **Total (approximate)** | ~58 GB | ~16.5 GB |
 
-The FP8 variant requires approximately 16-17 GB. ThinkingCap-FP8 requires ~29 GB. Both fit within the 30 GiB physical RAM, but ROCm reports 96 GiB to vLLM. Set `--gpu-memory-utilization` conservatively (0.80) to avoid OOM.
+The FP8 variant requires approximately 16-17 GB. ThinkingCap-FP8 requires ~29 GB. Both fit within the 61 GiB physical RAM, but ROCm reports 96 GiB to vLLM. Set `--gpu-memory-utilization` conservatively (0.80) to avoid OOM.
 
 ## Prerequisites