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 ce65bbd2a..395568d49 100644
--- a/docs_new/docs/hardware-platforms/ascend-npus/ascend_npu.mdx
+++ b/docs_new/docs/hardware-platforms/ascend-npus/ascend_npu.mdx
@@ -124,6 +124,17 @@ If you want to use PD disaggregation mode, you need to install MemFabric-Hybrid.
 pip install memfabric-hybrid==1.0.8
 ```
 
+#### MemFabric-zbal
+
+MemFabric-zbal is a Zero Buffer Acceleration Library of high-performance operators for LLM inference and training on Ascend,
+accelerating computation by eliminating intermediate memory buffers; it is required only on **aarch64** clusters and is
+installed in addition to MemFabric-Hybrid.
+
+```bash Command
+# Only needed on aarch64 (arm64) hosts
+pip install memfabric-zbal==1.1.1
+```
+
 #### Pytorch and Pytorch Framework Adaptor on Ascend
 
 ```bash Command
diff --git a/docs_new/docs/hardware-platforms/ascend-npus/model-tutorials/deepseek_r1.mdx b/docs_new/docs/hardware-platforms/ascend-npus/model-tutorials/deepseek_r1.mdx
index e19d51ba4..018ba26d4 100644
--- a/docs_new/docs/hardware-platforms/ascend-npus/model-tutorials/deepseek_r1.mdx
+++ b/docs_new/docs/hardware-platforms/ascend-npus/model-tutorials/deepseek_r1.mdx
@@ -47,6 +47,18 @@ see [Feature Compatibility](/docs/hardware-platforms/ascend-npus/ascend_npu_opti
 
 ## Prerequisites
 
+### Environment
+
+Before following this tutorial, complete the environment setup in the documents below:
+
+- [Ascend NPU Quickstart](/docs/hardware-platforms/ascend-npus/ascend_npu_quick_start) — the fastest way to get started.
+  It walks you through launching the official container image, starting the SGLang server, and sending a test request.
+  Recommended if you are new to SGLang on Ascend.
+- [SGLang Installation with NPU Support](/docs/hardware-platforms/ascend-npus/ascend_npu) — the full installation guide.
+  It covers the component version mapping (CANN, PyTorch adapter, Triton, kernels, etc.), building from source or from a
+  Dockerfile, and recommended system settings (CPU power scheme, NUMA, swap). Use it when you need to install or customize
+  the environment instead of using the official image.
+
 ### Model weights
 
 <Warning>
diff --git a/docs_new/docs/hardware-platforms/ascend-npus/model-tutorials/deepseek_v3_2.mdx b/docs_new/docs/hardware-platforms/ascend-npus/model-tutorials/deepseek_v3_2.mdx
index 63676919f..c91dd99a9 100644
--- a/docs_new/docs/hardware-platforms/ascend-npus/model-tutorials/deepseek_v3_2.mdx
+++ b/docs_new/docs/hardware-platforms/ascend-npus/model-tutorials/deepseek_v3_2.mdx
@@ -46,6 +46,18 @@ see [Feature Compatibility](/docs/hardware-platforms/ascend-npus/ascend_npu_opti
 
 ## Prerequisites
 
+### Environment
+
+Before following this tutorial, complete the environment setup in the documents below:
+
+- [Ascend NPU Quickstart](/docs/hardware-platforms/ascend-npus/ascend_npu_quick_start) — the fastest way to get started.
+  It walks you through launching the official container image, starting the SGLang server, and sending a test request.
+  Recommended if you are new to SGLang on Ascend.
+- [SGLang Installation with NPU Support](/docs/hardware-platforms/ascend-npus/ascend_npu) — the full installation guide.
+  It covers the component version mapping (CANN, PyTorch adapter, Triton, kernels, etc.), building from source or from a
+  Dockerfile, and recommended system settings (CPU power scheme, NUMA, swap). Use it when you need to install or customize
+  the environment instead of using the official image.
+
 ### Model weights
 
 <Warning>
diff --git a/docs_new/docs/hardware-platforms/ascend-npus/model-tutorials/glm_5_1.mdx b/docs_new/docs/hardware-platforms/ascend-npus/model-tutorials/glm_5_1.mdx
index ae8807096..e36c331a6 100644
--- a/docs_new/docs/hardware-platforms/ascend-npus/model-tutorials/glm_5_1.mdx
+++ b/docs_new/docs/hardware-platforms/ascend-npus/model-tutorials/glm_5_1.mdx
@@ -48,6 +48,18 @@ see [Feature Compatibility](/docs/hardware-platforms/ascend-npus/ascend_npu_opti
 
 ## Prerequisites
 
+### Environment
+
+Before following this tutorial, complete the environment setup in the documents below:
+
+- [Ascend NPU Quickstart](/docs/hardware-platforms/ascend-npus/ascend_npu_quick_start) — the fastest way to get started.
+  It walks you through launching the official container image, starting the SGLang server, and sending a test request.
+  Recommended if you are new to SGLang on Ascend.
+- [SGLang Installation with NPU Support](/docs/hardware-platforms/ascend-npus/ascend_npu) — the full installation guide.
+  It covers the component version mapping (CANN, PyTorch adapter, Triton, kernels, etc.), building from source or from a
+  Dockerfile, and recommended system settings (CPU power scheme, NUMA, swap). Use it when you need to install or customize
+  the environment instead of using the official image.
+
 ### Model weights
 
 <Warning>
diff --git a/docs_new/docs/hardware-platforms/ascend-npus/model-tutorials/kimi_k2_6.mdx b/docs_new/docs/hardware-platforms/ascend-npus/model-tutorials/kimi_k2_6.mdx
index dd82ad300..9d9ef5516 100644
--- a/docs_new/docs/hardware-platforms/ascend-npus/model-tutorials/kimi_k2_6.mdx
+++ b/docs_new/docs/hardware-platforms/ascend-npus/model-tutorials/kimi_k2_6.mdx
@@ -48,6 +48,18 @@ see [Feature Compatibility](/docs/hardware-platforms/ascend-npus/ascend_npu_opti
 
 ## Prerequisites
 
+### Environment
+
+Before following this tutorial, complete the environment setup in the documents below:
+
+- [Ascend NPU Quickstart](/docs/hardware-platforms/ascend-npus/ascend_npu_quick_start) — the fastest way to get started.
+  It walks you through launching the official container image, starting the SGLang server, and sending a test request.
+  Recommended if you are new to SGLang on Ascend.
+- [SGLang Installation with NPU Support](/docs/hardware-platforms/ascend-npus/ascend_npu) — the full installation guide.
+  It covers the component version mapping (CANN, PyTorch adapter, Triton, kernels, etc.), building from source or from a
+  Dockerfile, and recommended system settings (CPU power scheme, NUMA, swap). Use it when you need to install or customize
+  the environment instead of using the official image.
+
 ### Model weights
 
 <Warning>
diff --git a/docs_new/docs/hardware-platforms/ascend-npus/model-tutorials/minimax_m2_5.mdx b/docs_new/docs/hardware-platforms/ascend-npus/model-tutorials/minimax_m2_5.mdx
index dcd713130..7ac83c7f4 100644
--- a/docs_new/docs/hardware-platforms/ascend-npus/model-tutorials/minimax_m2_5.mdx
+++ b/docs_new/docs/hardware-platforms/ascend-npus/model-tutorials/minimax_m2_5.mdx
@@ -45,6 +45,18 @@ see [Feature Compatibility](/docs/hardware-platforms/ascend-npus/ascend_npu_opti
 
 ## Prerequisites
 
+### Environment
+
+Before following this tutorial, complete the environment setup in the documents below:
+
+- [Ascend NPU Quickstart](/docs/hardware-platforms/ascend-npus/ascend_npu_quick_start) — the fastest way to get started.
+  It walks you through launching the official container image, starting the SGLang server, and sending a test request.
+  Recommended if you are new to SGLang on Ascend.
+- [SGLang Installation with NPU Support](/docs/hardware-platforms/ascend-npus/ascend_npu) — the full installation guide.
+  It covers the component version mapping (CANN, PyTorch adapter, Triton, kernels, etc.), building from source or from a
+  Dockerfile, and recommended system settings (CPU power scheme, NUMA, swap). Use it when you need to install or customize
+  the environment instead of using the official image.
+
 ### Model weights
 
 <Warning>
diff --git a/docs_new/docs/hardware-platforms/ascend-npus/model-tutorials/qwen3-8b.mdx b/docs_new/docs/hardware-platforms/ascend-npus/model-tutorials/qwen3-8b.mdx
index 83f911359..71bf1b5e3 100644
--- a/docs_new/docs/hardware-platforms/ascend-npus/model-tutorials/qwen3-8b.mdx
+++ b/docs_new/docs/hardware-platforms/ascend-npus/model-tutorials/qwen3-8b.mdx
@@ -42,6 +42,18 @@ see [Feature Compatibility](/docs/hardware-platforms/ascend-npus/ascend_npu_opti
 
 ## Prerequisites
 
+### Environment
+
+Before following this tutorial, complete the environment setup in the documents below:
+
+- [Ascend NPU Quickstart](/docs/hardware-platforms/ascend-npus/ascend_npu_quick_start) — the fastest way to get started.
+  It walks you through launching the official container image, starting the SGLang server, and sending a test request.
+  Recommended if you are new to SGLang on Ascend.
+- [SGLang Installation with NPU Support](/docs/hardware-platforms/ascend-npus/ascend_npu) — the full installation guide.
+  It covers the component version mapping (CANN, PyTorch adapter, Triton, kernels, etc.), building from source or from a
+  Dockerfile, and recommended system settings (CPU power scheme, NUMA, swap). Use it when you need to install or customize
+  the environment instead of using the official image.
+
 ### Model weights
 
 <Warning>
diff --git a/docs_new/docs/hardware-platforms/ascend-npus/model-tutorials/qwen3_235b_a22b.mdx b/docs_new/docs/hardware-platforms/ascend-npus/model-tutorials/qwen3_235b_a22b.mdx
index db57d9719..bad84e227 100644
--- a/docs_new/docs/hardware-platforms/ascend-npus/model-tutorials/qwen3_235b_a22b.mdx
+++ b/docs_new/docs/hardware-platforms/ascend-npus/model-tutorials/qwen3_235b_a22b.mdx
@@ -48,6 +48,18 @@ see [Feature Compatibility](/docs/hardware-platforms/ascend-npus/ascend_npu_opti
 
 ## Prerequisites
 
+### Environment
+
+Before following this tutorial, complete the environment setup in the documents below:
+
+- [Ascend NPU Quickstart](/docs/hardware-platforms/ascend-npus/ascend_npu_quick_start) — the fastest way to get started.
+  It walks you through launching the official container image, starting the SGLang server, and sending a test request.
+  Recommended if you are new to SGLang on Ascend.
+- [SGLang Installation with NPU Support](/docs/hardware-platforms/ascend-npus/ascend_npu) — the full installation guide.
+  It covers the component version mapping (CANN, PyTorch adapter, Triton, kernels, etc.), building from source or from a
+  Dockerfile, and recommended system settings (CPU power scheme, NUMA, swap). Use it when you need to install or customize
+  the environment instead of using the official image.
+
 ### Model weights
 
 <Warning>
diff --git a/docs_new/docs/hardware-platforms/ascend-npus/model-tutorials/qwen3_30b_a3b.mdx b/docs_new/docs/hardware-platforms/ascend-npus/model-tutorials/qwen3_30b_a3b.mdx
index 7db7396c9..9666ccd81 100644
--- a/docs_new/docs/hardware-platforms/ascend-npus/model-tutorials/qwen3_30b_a3b.mdx
+++ b/docs_new/docs/hardware-platforms/ascend-npus/model-tutorials/qwen3_30b_a3b.mdx
@@ -42,6 +42,18 @@ see [Feature Compatibility](/docs/hardware-platforms/ascend-npus/ascend_npu_opti
 
 ## Prerequisites
 
+### Environment
+
+Before following this tutorial, complete the environment setup in the documents below:
+
+- [Ascend NPU Quickstart](/docs/hardware-platforms/ascend-npus/ascend_npu_quick_start) — the fastest way to get started.
+  It walks you through launching the official container image, starting the SGLang server, and sending a test request.
+  Recommended if you are new to SGLang on Ascend.
+- [SGLang Installation with NPU Support](/docs/hardware-platforms/ascend-npus/ascend_npu) — the full installation guide.
+  It covers the component version mapping (CANN, PyTorch adapter, Triton, kernels, etc.), building from source or from a
+  Dockerfile, and recommended system settings (CPU power scheme, NUMA, swap). Use it when you need to install or customize
+  the environment instead of using the official image.
+
 ### Model weights
 
 <Warning>
diff --git a/docs_new/docs/hardware-platforms/ascend-npus/model-tutorials/qwen3_32b.mdx b/docs_new/docs/hardware-platforms/ascend-npus/model-tutorials/qwen3_32b.mdx
index 20cc54c59..302e7c19a 100644
--- a/docs_new/docs/hardware-platforms/ascend-npus/model-tutorials/qwen3_32b.mdx
+++ b/docs_new/docs/hardware-platforms/ascend-npus/model-tutorials/qwen3_32b.mdx
@@ -40,6 +40,18 @@ see [Feature Compatibility](/docs/hardware-platforms/ascend-npus/ascend_npu_opti
 
 ## Prerequisites
 
+### Environment
+
+Before following this tutorial, complete the environment setup in the documents below:
+
+- [Ascend NPU Quickstart](/docs/hardware-platforms/ascend-npus/ascend_npu_quick_start) — the fastest way to get started.
+  It walks you through launching the official container image, starting the SGLang server, and sending a test request.
+  Recommended if you are new to SGLang on Ascend.
+- [SGLang Installation with NPU Support](/docs/hardware-platforms/ascend-npus/ascend_npu) — the full installation guide.
+  It covers the component version mapping (CANN, PyTorch adapter, Triton, kernels, etc.), building from source or from a
+  Dockerfile, and recommended system settings (CPU power scheme, NUMA, swap). Use it when you need to install or customize
+  the environment instead of using the official image.
+
 ### Model weights
 
 <Warning>
diff --git a/docs_new/docs/hardware-platforms/ascend-npus/model-tutorials/qwen3_5_397b.mdx b/docs_new/docs/hardware-platforms/ascend-npus/model-tutorials/qwen3_5_397b.mdx
index 3c59571ab..0ee319f7f 100644
--- a/docs_new/docs/hardware-platforms/ascend-npus/model-tutorials/qwen3_5_397b.mdx
+++ b/docs_new/docs/hardware-platforms/ascend-npus/model-tutorials/qwen3_5_397b.mdx
@@ -45,6 +45,18 @@ see [Feature Compatibility](/docs/hardware-platforms/ascend-npus/ascend_npu_opti
 
 ## Prerequisites
 
+### Environment
+
+Before following this tutorial, complete the environment setup in the documents below:
+
+- [Ascend NPU Quickstart](/docs/hardware-platforms/ascend-npus/ascend_npu_quick_start) — the fastest way to get started.
+  It walks you through launching the official container image, starting the SGLang server, and sending a test request.
+  Recommended if you are new to SGLang on Ascend.
+- [SGLang Installation with NPU Support](/docs/hardware-platforms/ascend-npus/ascend_npu) — the full installation guide.
+  It covers the component version mapping (CANN, PyTorch adapter, Triton, kernels, etc.), building from source or from a
+  Dockerfile, and recommended system settings (CPU power scheme, NUMA, swap). Use it when you need to install or customize
+  the environment instead of using the official image.
+
 ### Model weights
 
 <Warning>
diff --git a/docs_new/docs/hardware-platforms/ascend-npus/model-tutorials/qwen3_6_27b.mdx b/docs_new/docs/hardware-platforms/ascend-npus/model-tutorials/qwen3_6_27b.mdx
index 3656c88e2..ea51dd415 100644
--- a/docs_new/docs/hardware-platforms/ascend-npus/model-tutorials/qwen3_6_27b.mdx
+++ b/docs_new/docs/hardware-platforms/ascend-npus/model-tutorials/qwen3_6_27b.mdx
@@ -42,6 +42,18 @@ see [Feature Compatibility](/docs/hardware-platforms/ascend-npus/ascend_npu_opti
 
 ## Prerequisites
 
+### Environment
+
+Before following this tutorial, complete the environment setup in the documents below:
+
+- [Ascend NPU Quickstart](/docs/hardware-platforms/ascend-npus/ascend_npu_quick_start) — the fastest way to get started.
+  It walks you through launching the official container image, starting the SGLang server, and sending a test request.
+  Recommended if you are new to SGLang on Ascend.
+- [SGLang Installation with NPU Support](/docs/hardware-platforms/ascend-npus/ascend_npu) — the full installation guide.
+  It covers the component version mapping (CANN, PyTorch adapter, Triton, kernels, etc.), building from source or from a
+  Dockerfile, and recommended system settings (CPU power scheme, NUMA, swap). Use it when you need to install or customize
+  the environment instead of using the official image.
+
 ### Model weights
 
 <Warning>
diff --git a/docs_new/docs/hardware-platforms/ascend-npus/model-tutorials/qwen3_6_35b_a3b.mdx b/docs_new/docs/hardware-platforms/ascend-npus/model-tutorials/qwen3_6_35b_a3b.mdx
index a766ee11f..413d8ecf8 100644
--- a/docs_new/docs/hardware-platforms/ascend-npus/model-tutorials/qwen3_6_35b_a3b.mdx
+++ b/docs_new/docs/hardware-platforms/ascend-npus/model-tutorials/qwen3_6_35b_a3b.mdx
@@ -42,6 +42,18 @@ see [Feature Compatibility](/docs/hardware-platforms/ascend-npus/ascend_npu_opti
 
 ## Prerequisites
 
+### Environment
+
+Before following this tutorial, complete the environment setup in the documents below:
+
+- [Ascend NPU Quickstart](/docs/hardware-platforms/ascend-npus/ascend_npu_quick_start) — the fastest way to get started.
+  It walks you through launching the official container image, starting the SGLang server, and sending a test request.
+  Recommended if you are new to SGLang on Ascend.
+- [SGLang Installation with NPU Support](/docs/hardware-platforms/ascend-npus/ascend_npu) — the full installation guide.
+  It covers the component version mapping (CANN, PyTorch adapter, Triton, kernels, etc.), building from source or from a
+  Dockerfile, and recommended system settings (CPU power scheme, NUMA, swap). Use it when you need to install or customize
+  the environment instead of using the official image.
+
 ### Model weights
 
 <Warning>
diff --git a/docs_new/docs/hardware-platforms/ascend-npus/model-tutorials/qwen3_next_80b_a3b_instruct.mdx b/docs_new/docs/hardware-platforms/ascend-npus/model-tutorials/qwen3_next_80b_a3b_instruct.mdx
index 829670080..327cdf5b0 100644
--- a/docs_new/docs/hardware-platforms/ascend-npus/model-tutorials/qwen3_next_80b_a3b_instruct.mdx
+++ b/docs_new/docs/hardware-platforms/ascend-npus/model-tutorials/qwen3_next_80b_a3b_instruct.mdx
@@ -44,6 +44,18 @@ see [Feature Compatibility](/docs/hardware-platforms/ascend-npus/ascend_npu_opti
 
 ## Prerequisites
 
+### Environment
+
+Before following this tutorial, complete the environment setup in the documents below:
+
+- [Ascend NPU Quickstart](/docs/hardware-platforms/ascend-npus/ascend_npu_quick_start) — the fastest way to get started.
+  It walks you through launching the official container image, starting the SGLang server, and sending a test request.
+  Recommended if you are new to SGLang on Ascend.
+- [SGLang Installation with NPU Support](/docs/hardware-platforms/ascend-npus/ascend_npu) — the full installation guide.
+  It covers the component version mapping (CANN, PyTorch adapter, Triton, kernels, etc.), building from source or from a
+  Dockerfile, and recommended system settings (CPU power scheme, NUMA, swap). Use it when you need to install or customize
+  the environment instead of using the official image.
+
 ### Model weights
 
 <Warning>