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 b71de7601..c8fed3298 100644
--- a/docs_new/docs/hardware-platforms/ascend-npus/ascend_npu.mdx
+++ b/docs_new/docs/hardware-platforms/ascend-npus/ascend_npu.mdx
@@ -31,7 +31,7 @@ You can install SGLang using any of the methods below. Please go through `System
Obtain Images |
- | Pytorch Adapter |
+ TorchNPU |
26.0.0 |
link |
diff --git a/docs_new/docs/hardware-platforms/ascend-npus/ascend_npu_faq.mdx b/docs_new/docs/hardware-platforms/ascend-npus/ascend_npu_faq.mdx
index 47b9279a1..0babb06f9 100644
--- a/docs_new/docs/hardware-platforms/ascend-npus/ascend_npu_faq.mdx
+++ b/docs_new/docs/hardware-platforms/ascend-npus/ascend_npu_faq.mdx
@@ -69,7 +69,7 @@ Too many captured graphs cause a conflict in the graph mode update stream. Each
### Solution
-- CANN 8.5 + PTA 2.8 should have resolved this issue.
+- CANN 8.5 + TorchNPU 2.8 should have resolved this issue.
- If your versions do not match, reduce the number of captured graphs to 10 or fewer.
## 3. alloc_extend_kernel error
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 af02633e8..1cb391329 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
@@ -55,7 +55,7 @@ Before following this tutorial, complete the environment setup in the documents
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
+ It covers the component version mapping (CANN, TorchNPU, 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.
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 710cd9fd6..adaf95c09 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
@@ -54,7 +54,7 @@ Before following this tutorial, complete the environment setup in the documents
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
+ It covers the component version mapping (CANN, TorchNPU, 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.
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 1a48de030..9e132cf07 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
@@ -56,7 +56,7 @@ Before following this tutorial, complete the environment setup in the documents
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
+ It covers the component version mapping (CANN, TorchNPU, 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.
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 2c69eefb9..603fdcb44 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
@@ -56,7 +56,7 @@ Before following this tutorial, complete the environment setup in the documents
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
+ It covers the component version mapping (CANN, TorchNPU, 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.
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 ebfe2627c..c48513f29 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
@@ -53,7 +53,7 @@ Before following this tutorial, complete the environment setup in the documents
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
+ It covers the component version mapping (CANN, TorchNPU, 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.
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 0268e071b..a9d4d2b67 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
@@ -50,7 +50,7 @@ Before following this tutorial, complete the environment setup in the documents
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
+ It covers the component version mapping (CANN, TorchNPU, 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.
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 2d7a2d7d3..0462a3b23 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
@@ -56,7 +56,7 @@ Before following this tutorial, complete the environment setup in the documents
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
+ It covers the component version mapping (CANN, TorchNPU, 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.
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 4230ecf5c..fd6e296df 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
@@ -50,7 +50,7 @@ Before following this tutorial, complete the environment setup in the documents
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
+ It covers the component version mapping (CANN, TorchNPU, 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.
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 b6a1afcd9..808e918f4 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
@@ -48,7 +48,7 @@ Before following this tutorial, complete the environment setup in the documents
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
+ It covers the component version mapping (CANN, TorchNPU, 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.
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 e8d032125..ff7a213a5 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
@@ -53,7 +53,7 @@ Before following this tutorial, complete the environment setup in the documents
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
+ It covers the component version mapping (CANN, TorchNPU, 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.
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 cf9d2c1dc..5600c29eb 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
@@ -50,7 +50,7 @@ Before following this tutorial, complete the environment setup in the documents
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
+ It covers the component version mapping (CANN, TorchNPU, 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.
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 eef3048d1..3bf89235d 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
@@ -50,7 +50,7 @@ Before following this tutorial, complete the environment setup in the documents
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
+ It covers the component version mapping (CANN, TorchNPU, 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.
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 9d19e6140..6a70a5c4b 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
@@ -52,7 +52,7 @@ Before following this tutorial, complete the environment setup in the documents
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
+ It covers the component version mapping (CANN, TorchNPU, 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.