[Doc] Add NNAL installation guide and requirements (#5235)

Fixes #2727

- Add NNAL to the software requirements table with version information
- Add note explaining that prebuilt Docker images include NNAL
- Add warning message for manual installation when encountering
libatb.so errors
- Improve visibility of NNAL installation instructions to prevent
runtime errors

This addresses the issue where users encounter 'libatb.so not found'
errors due to missing NNAL installation in their environment.

### What this PR does / why we need it?

### Does this PR introduce _any_ user-facing change?

### How was this patch tested?

- vLLM version: release/v0.13.0
- vLLM main:
ad32e3e19c

---------

Signed-off-by: menogrey <1299267905@qq.com>
Signed-off-by: hu-qi <huqi1024@gmail.com>
Co-authored-by: zhangyiming <34808445+menogrey@users.noreply.github.com>

docs/source/installation.md

@@ -15,6 +15,7 @@ This document describes how to install vllm-ascend manually.
     | CANN          | == 8.3.RC2                       | Required for vllm-ascend and torch-npu    |
     | torch-npu     | == 2.8.0             | Required for vllm-ascend, No need to install manually, it will be auto installed in below steps |
     | torch         | == 2.8.0                          | Required for torch-npu and vllm           |
+    | NNAL          | == 8.3.RC2                       | Required for libatb.so, enables advanced tensor operations |
 
 There are two installation methods:
 - **Using pip**: first prepare env manually or via CANN image, then install `vllm-ascend` using pip.
@@ -45,6 +46,10 @@ Refer to [Ascend Environment Setup Guide](https://ascend.github.io/docs/sources/
 
 The easiest way to prepare your software environment is using CANN image directly:
 
+```{note}
+The CANN prebuilt image includes NNAL (Ascend Neural Network Acceleration Library) which provides libatb.so for advanced tensor operations. No additional installation is required when using the prebuilt image.
+```
+
 ```{code-block} bash
    :substitutions:
 # Update DEVICE according to your device (/dev/davinci[0-7])
@@ -71,6 +76,10 @@ docker run --rm \
 :animate: fade-in-slide-down
 You can also install CANN manually:
 
+```{warning}
+If you encounter "libatb.so not found" errors during runtime, please ensure NNAL is properly installed as shown in the manual installation steps below.
+```
+
 ```bash
 # Create a virtual environment.
 python -m venv vllm-ascend-env