diff --git a/docs/diffusion/index.md b/docs/diffusion/index.md
index 28b244b33..3a1aa815a 100644
--- a/docs/diffusion/index.md
+++ b/docs/diffusion/index.md
@@ -7,7 +7,7 @@ SGLang Diffusion is an inference framework for accelerated image and video gener
 - **Broad Model Support**: Wan series, FastWan series, Hunyuan, Qwen-Image, Qwen-Image-Edit, Flux, Z-Image, GLM-Image, and more
 - **Fast Inference**: Optimized kernels, efficient scheduler loop, and Cache-DiT acceleration
 - **Ease of Use**: OpenAI-compatible API, CLI, and Python SDK
-- **Multi-Platform**: NVIDIA GPUs (H100, H200, A100, B200, 4090) and AMD GPUs (MI300X, MI325X)
+- **Multi-Platform**: NVIDIA GPUs (H100, H200, A100, B200, 4090), AMD GPUs (MI300X, MI325X) and Ascend NPU (A2, A3)
 
 ---
 
diff --git a/docs/diffusion/installation.md b/docs/diffusion/installation.md
index 2cd1227b2..4cd62b10a 100644
--- a/docs/diffusion/installation.md
+++ b/docs/diffusion/installation.md
@@ -82,6 +82,10 @@ rm -f python/pyproject.toml && mv python/pyproject_other.toml python/pyproject.t
 pip install -e "python[all_musa]"
 ```
 
+## Platform-Specific: Ascend NPU
+
+For Ascend NPU, please follow the [NPU installation guide](../platforms/ascend_npu.md).
+
 Quick test:
 
 ```bash
diff --git a/docs/diffusion/performance/attention_backends.md b/docs/diffusion/performance/attention_backends.md
index 5b1ff75c6..9113d5bb1 100644
--- a/docs/diffusion/performance/attention_backends.md
+++ b/docs/diffusion/performance/attention_backends.md
@@ -14,6 +14,7 @@ When using the diffusers backend, `--attention-backend` is passed through to dif
 - **CUDA**: prefers FlashAttention (FA3/FA4) when supported; otherwise falls back to PyTorch SDPA.
 - **ROCm**: uses FlashAttention when available; otherwise falls back to PyTorch SDPA.
 - **MPS**: always uses PyTorch SDPA.
+- **NPU**: always uses PyTorch SDPA.
 
 ## Backend options
 
@@ -83,17 +84,17 @@ Some backends require additional configuration. You can pass these parameters vi
 
 ## Platform support matrix
 
-| Backend | CUDA | ROCm | MPS | Notes |
-|---|---:|---:|---:|---|
-| `fa` | ✅ | ✅ | ❌ | CUDA requires SM80+ and fp16/bf16. FlashAttention is only used when the required runtime is installed; otherwise it falls back to `torch_sdpa`. |
-| `torch_sdpa` | ✅ | ✅ | ✅ | Most compatible option across platforms. |
-| `sliding_tile_attn` | ✅ | ❌ | ❌ | CUDA-only. Requires `st_attn`. Configure via `--attention-backend-config`. |
-| `sage_attn` | ✅ | ❌ | ❌ | CUDA-only (optional dependency). |
-| `sage_attn_3` | ✅ | ❌ | ❌ | CUDA-only (optional dependency). |
-| `video_sparse_attn` | ✅ | ❌ | ❌ | CUDA-only. Requires `vsa`. Configure `sparsity` via `--attention-backend-config`. |
-| `vmoba_attn` | ✅ | ❌ | ❌ | CUDA-only. Requires `kernel.attn.vmoba_attn.vmoba`. Configure via `--attention-backend-config`. |
-| `aiter` | ✅ | ❌ | ❌ | Requires `aiter`. |
-| `sparse_video_gen_2_attn` | ✅ | ❌ | ❌ | CUDA-only. Requires `svg`. |
+| Backend | CUDA | ROCm | MPS | NPU | Notes |
+|---|---:|---:|---:|---:|---|
+| `fa` | ✅ | ✅ | ❌ | ❌ | CUDA requires SM80+ and fp16/bf16. FlashAttention is only used when the required runtime is installed; otherwise it falls back to `torch_sdpa`. |
+| `torch_sdpa` | ✅ | ✅ | ✅ | ✅ | Most compatible option across platforms. |
+| `sliding_tile_attn` | ✅ | ❌ | ❌ | ❌ | CUDA-only. Requires `st_attn`. Configure via `--attention-backend-config`. |
+| `sage_attn` | ✅ | ❌ | ❌ | ❌ | CUDA-only (optional dependency). |
+| `sage_attn_3` | ✅ | ❌ | ❌ | ❌ | CUDA-only (optional dependency). |
+| `video_sparse_attn` | ✅ | ❌ | ❌ | ❌ | CUDA-only. Requires `vsa`. Configure `sparsity` via `--attention-backend-config`. |
+| `vmoba_attn` | ✅ | ❌ | ❌ | ❌ | CUDA-only. Requires `kernel.attn.vmoba_attn.vmoba`. Configure via `--attention-backend-config`. |
+| `aiter` | ✅ | ❌ | ❌ | ❌ | Requires `aiter`. |
+| `sparse_video_gen_2_attn` | ✅ | ❌ | ❌ | ❌ | CUDA-only. Requires `svg`. |
 
 ## Usage