[Doc] Support kimi-k2-w8a8 (#2162)

### What this PR does / why we need it?
In fact, the kimi-k2 model is similar to the deepseek model, and we only
need to make a few changes to support it. what does this pr do:
1. Add kimi-k2-w8a8 deployment doc
2. Update quantization doc
3. Upgrade torchair support list
### Does this PR introduce _any_ user-facing change?

### How was this patch tested?


- vLLM version: v0.10.0
- vLLM main:
9edd1db02b

---------

Signed-off-by: wangli <wangli858794774@gmail.com>

docs/source/tutorials/multi_node.md

@@ -90,12 +90,12 @@ docker run --rm \
 -it $IMAGE bash
 ```
 
-:::{note}
-Before launch the inference server, ensure some environment variables are set for multi node communication
-:::
-
 Run the following scripts on two nodes respectively
 
+:::{note}
+Before launch the inference server, ensure the following environment variables are set for multi node communication
+:::
+
 **node0**
 
 ```shell
@@ -178,7 +178,7 @@ vllm serve /root/.cache/ds_v3 \
 ```
 
 The Deployment view looks like:
-![alt text](../assets/multi_node_dp.png)
+![alt text](../assets/multi_node_dp_deepseek.png)
 
 Once your server is started, you can query the model with input prompts: