diff --git a/docs_new/docs/hardware-platforms/ascend-npus/ascend_npu.mdx b/docs_new/docs/hardware-platforms/ascend-npus/ascend_npu.mdx
index 7fe4750b1..1debe6d93 100644
--- a/docs_new/docs/hardware-platforms/ascend-npus/ascend_npu.mdx
+++ b/docs_new/docs/hardware-platforms/ascend-npus/ascend_npu.mdx
@@ -101,11 +101,9 @@ If you encounter an error like “Terms of Service have not been accepted” dur
 conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/
 conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/
 conda config --set show_channel_urls yes
-
-# Edit the system-level conda config to remove any hardcoded defaults
-vi /root/miniconda3/.condarc
+conda config --remove channels defaults
 ```
-Inside /root/miniconda3/.condarc, delete or comment out any lines containing defaults or official Anaconda URLs.
+Edit the system-level conda config to remove any hardcoded defaults, e.g. vi ~/miniconda3/.condarc
 Then remove the failed environment and recreate it:
 ```bash Command
 conda clean -i
@@ -123,7 +121,7 @@ Prior to start work with SGLang on Ascend you need to install CANN Toolkit, Kern
 If you want to use PD disaggregation mode, you need to install MemFabric-Hybrid. MemFabric-Hybrid is a drop-in replacement of Mooncake Transfer Engine that enables KV cache transfer on Ascend NPU clusters.
 
 ```bash Command
-pip install memfabric-hybrid==1.0.5
+pip install memfabric-hybrid==1.0.8
 ```
 
 #### Pytorch and Pytorch Framework Adaptor on Ascend
@@ -220,8 +218,11 @@ git clone https://github.com/sgl-project/sglang.git
 cd sglang/docker
 
 # Build the docker image
-# If there are network errors, please modify the Dockerfile to use offline dependencies or use a proxy
-# <arch_tag> is the target architecture of the image, e.g. amd64, arm64
+# Replace <arch_tag> with the target architecture, e.g. amd64, arm64.
+# Optional build arguments:
+#   --build-arg DEVICE_TYPE=910b          # Required for Atlas 800I A2
+#   --build-arg APTMIRROR=<mirror_url>    # Use a custom APT mirror too improve download speed
+# If there are network errors, please modify the Dockerfile to add ARG HTTP_PROXY/HTTPS_PROXY and set them as ENV.
 docker build --build-arg TARGETARCH=<arch_tag> -t <image_name> -f npu.Dockerfile .
 ```
 
@@ -232,6 +233,7 @@ __Notice:__ `--privileged` and `--network=host` are required by RDMA, which is t
   <Tab title="Atlas 800I A3">
 
 ```bash Command
+# Create a shortcut 'drun' to launch a privileged Docker container
 alias drun='docker run -it --rm --privileged --network=host --ipc=host --shm-size=16g \
     --device=/dev/davinci0 --device=/dev/davinci1 --device=/dev/davinci2 --device=/dev/davinci3 \
     --device=/dev/davinci4 --device=/dev/davinci5 --device=/dev/davinci6 --device=/dev/davinci7 \
@@ -244,6 +246,7 @@ alias drun='docker run -it --rm --privileged --network=host --ipc=host --shm-siz
     --volume /var/queue_schedule:/var/queue_schedule --volume ~/.cache/:/root/.cache/'
 
 # Add HF_TOKEN env for download model by SGLang.
+# The container runs with the '--rm' flag, so it will be automatically removed after the command finishes (including Ctrl+C)
 drun --env "HF_TOKEN=<secret>" \
     <image_name> \
     python3 -m sglang.launch_server --model-path meta-llama/Llama-3.1-8B-Instruct --attention-backend ascend
@@ -253,6 +256,7 @@ drun --env "HF_TOKEN=<secret>" \
   <Tab title="Atlas 800I A2">
 
 ```bash Command
+# Create a shortcut 'drun' to launch a privileged Docker container
 alias drun='docker run -it --rm --privileged --network=host --ipc=host --shm-size=16g \
     --device=/dev/davinci0 --device=/dev/davinci1 --device=/dev/davinci2 --device=/dev/davinci3 \
     --device=/dev/davinci4 --device=/dev/davinci5 --device=/dev/davinci6 --device=/dev/davinci7 \
@@ -263,6 +267,7 @@ alias drun='docker run -it --rm --privileged --network=host --ipc=host --shm-siz
     --volume /var/queue_schedule:/var/queue_schedule --volume ~/.cache/:/root/.cache/'
 
 # Add HF_TOKEN env for download model by SGLang.
+# The container runs with the '--rm' flag, so it will be automatically removed after the command finishes (including Ctrl+C)
 drun --env "HF_TOKEN=<secret>" \
     <image_name> \
     python3 -m sglang.launch_server --model-path meta-llama/Llama-3.1-8B-Instruct --attention-backend ascend
@@ -501,8 +506,8 @@ curl http://127.0.0.1:8000/v1/chat/completions \
 
 Some models return responses accompanied with thinking process content. To disable this output, configure parameters as follows:
 ```bash Command
-curl http://127.0.0.1:8000/v1/chat/completions
-  -H "Content-Type: application/json"
+curl http://127.0.0.1:8000/v1/chat/completions \
+  -H "Content-Type: application/json" \
   -d '{
     "model": "Eco-Tech/Qwen3.5-27B-w8a8-mtp",
     "messages": [{"role": "user", "content": "What is the capital of France?"}],