docs: polish pass — fix stale names, duplicates, branding, and README

- Normalize 'VLLM' to 'vLLM' in prose across 6 docs (32 occurrences; wikilink
  targets untouched)
- Remove duplicated Environment Variables block in 27B Dankclaw doc
- Update stale model refs Qwen3-30B-A3B -> Qwen3.6-35B-A3B in example commands
- Fix VLLM Index: -- separators to em-dashes; correct model names on links
- README: document active services (ROCmFPX llama-server on Dankclaw, vLLM
  AWQ on Dankserver), replace broken [[docs/README.md]] link with docs/index.md

docs/Dankserver System Specs.md

@@ -53,7 +53,7 @@ Dankserver is an NVIDIA GPU server for vLLM inference. The host runs Ubuntu 24.0
 
 A vLLM engine core (Podman container `vllm-qwen36-dflash`) occupies approximately 22 GB of the RTX 3090 VRAM (`nvidia-smi` reports `VLLM::EngineCore` at 22164 MiB).
 
-## VLLM Relevance
+## vLLM Relevance
 
 - 24 GB VRAM limits model size. Use FP8 quantization for large models.
 - 62 GB system RAM provides ample swap space for KV cache offloading.