Update document for Ascend NPU (#16214)
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You can install SGLang using any of the methods below. Please go through `System Settings` section to ensure the clusters are roaring at max performance. Feel free to leave an issue [here at sglang](https://github.com/sgl-project/sglang/issues) if you encounter any issues or have any problems.
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## Component Version Mapping For SGLang
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| Component | Version | Obtain Way |
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|-------------------|-------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
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| HDK | 25.2.1 | [link](https://support.huawei.com/carrier/productNewOffering?col=product&path=PBI1-262732867/PBI1-262735886/PBI1-262735910/PBI1-261410188/PBI1-252764743&pVR=PBI1-263550357&pC=PBI1-264360782&pSPC=PBI1-266220744&resTab=SW) |
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| CANN | 8.3.rc2 | [Obtain Images](#obtain-cann-image) |
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| Pytorch Adapter | 7.3.0 | [link](https://gitcode.com/Ascend/pytorch/releases) |
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| MemFabric | 0.1.0 | [link](https://gitcode.com/Ascend/memfabric_hybrid/releases) |
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| Triton | 3.2.0.dev2025112116 | [link](https://sglang-ascend.obs.cn-east-3.myhuaweicloud.com/sglang/triton_ascend/triton_ascend-3.2.0.dev2025112116-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl) |
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| Bisheng | 20251121 | [link](https://sglang-ascend.obs.cn-east-3.myhuaweicloud.com/sglang/triton_ascend/Ascend-BiSheng-toolkit_aarch64_20251121.run) |
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| SGLang NPU Kernel | NA | [link](https://github.com/sgl-project/sgl-kernel-npu/releases) |
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<a id="obtain-cann-image"></a>
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### Obtain CANN Image
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You can obtain the dependency of a specified version of CANN through an image.
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```shell
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# for Atlas 800I A3 and Ubuntu OS
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docker pull quay.io/ascend/cann:8.3.rc2-a3-ubuntu22.04-py3.11
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# for Atlas 800I A2 and Ubuntu OS
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docker pull quay.io/ascend/cann:8.3.rc2-910b-ubuntu22.04-py3.11
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```
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## Preparing the Running Environment
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### Method 1: Installing from source with prerequisites
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