Replace "online inference" with "online serving" (#11923)

Signed-off-by: Harry Mellor <19981378+hmellor@users.noreply.github.com>

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

@@ -83,7 +83,7 @@ $ python setup.py develop
 ## Supported Features
 
 - [Offline inference](#offline-inference)
-- Online inference via [OpenAI-Compatible Server](#openai-compatible-server)
+- Online serving 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
 - Custom Intel Gaudi implementations of Paged Attention, KV cache ops,
@@ -385,5 +385,5 @@ the below:
   completely. With HPU Graphs disabled, you are trading latency and
   throughput at lower batches for potentially higher throughput on
   higher batches. You can do that by adding `--enforce-eager` flag to
-  server (for online inference), or by passing `enforce_eager=True`
+  server (for online serving), or by passing `enforce_eager=True`
   argument to LLM constructor (for offline inference).

docs/source/getting_started/quickstart.md

@@ -5,7 +5,7 @@
 This guide will help you quickly get started with vLLM to perform:
 
 - [Offline batched inference](#quickstart-offline)
-- [Online inference using OpenAI-compatible server](#quickstart-online)
+- [Online serving using OpenAI-compatible server](#quickstart-online)
 
 ## Prerequisites