[Doc][Feature] Add Motor deployment guide (vllm-project#10745)

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

This PR adds a deployment guide for using MindIE-PyMotor with
vLLM-Ascend. MindIE-PyMotor provides one-click deployment for
prefill–decode (PD) disaggregation and PD aggregation on Ascend NPUs.

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

No, this is a documentation-only update.

### How was this patch tested?

Documentation-only change, no testing required.


- vLLM version: v0.22.1
- vLLM main:
vllm-project/vllm@967c5c3

---------

Signed-off-by: 1478931959 <112932568+1478931959@users.noreply.github.com>

Author: 1478931959

docs/source/user_guide/deployment_guide/index.md

@@ -4,4 +4,5 @@
 :caption: Deployment Guide
 :maxdepth: 1
 using_volcano_kthena
+using_mindie_pymotor
 :::

docs/source/user_guide/deployment_guide/using_mindie_pymotor.md

@@ -0,0 +1,9 @@
+# Deploy vLLM-Ascend with MindIE-PyMotor
+
+## 1. Overview
+
+[MindIE-PyMotor](https://gitcode.com/Ascend/MindIE-PyMotor) provides one-click deployment for **prefill–decode (PD) disaggregation** and **PD aggregation** on Ascend NPUs with vLLM-Ascend. It uses **high-performance scheduling and load balancing**, together with **RAS (Reliability, Availability and Serviceability) capabilities**, to build inference services that are fast and highly stable.
+
+## 2. Getting Started
+
+For quick deployment instructions, refer to the [MindIE-PyMotor Quick Start](https://gitcode.com/Ascend/MindIE-PyMotor/blob/master/docs/zh/user_guide/README.md).