[Doc][3/N] Reorganize Serving section (#11766)

Signed-off-by: DarkLight1337 <tlleungac@connect.ust.hk>

docs/source/getting_started/installation/gpu-rocm.md

@@ -148,7 +148,7 @@ $ export PYTORCH_ROCM_ARCH="gfx90a;gfx942"
 $ python3 setup.py develop
 ```
 
-This may take 5-10 minutes. Currently, {code}`pip install .` does not work for ROCm installation.
+This may take 5-10 minutes. Currently, `pip install .` does not work for ROCm installation.
 
 ```{tip}
 - Triton flash attention is used by default. For benchmarking purposes, it is recommended to run a warm up step before collecting perf numbers.

docs/source/getting_started/installation/hpu-gaudi.md

@@ -82,7 +82,7 @@ $ python setup.py develop
 
 ## Supported Features
 
-- [Offline batched inference](#offline-batched-inference)
+- [Offline inference](#offline-inference)
 - Online inference via [OpenAI-Compatible Server](#openai-compatible-server)
 - HPU autodetection - no need to manually select device within vLLM
 - Paged KV cache with algorithms enabled for Intel Gaudi accelerators