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[NPU] [DOC] Rename NPU hardware to Ascend A2/A3 Series product (#39389)

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amote-i
2026-09-15 10:33:14 +08:00
committed by GitHub
parent 5dde6e8f02
commit bdf8886ad3
66 changed files with 759 additions and 759 deletions
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docs/cookbook/diffusion/Wan/Wan2.1.mdx
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@@ -27,7 +27,7 @@ This section provides deployment configurations optimized for different hardware
### 3.1 Basic Configuration
The Wan2.1 series offers models in multiple sizes and resolutions. SGLang supports Wan2.1 deployment on NVIDIA B200, B300, H200, H100, and AMD MI300X, MI325X, MI355X GPUs and Ascend A2, A3 NPUs. The recommended launch configurations vary by hardware, model size, and memory headroom.
The Wan2.1 series offers models in multiple sizes and resolutions. SGLang supports Wan2.1 deployment on NVIDIA B200, B300, H200, H100, and AMD MI300X, MI325X, MI355X GPUs and Ascend A2/A3 Series NPUs. The recommended launch configurations vary by hardware, model size, and memory headroom.
**Interactive Command Generator**: Use the configuration selector below to automatically generate an appropriate deployment command for your model variant and options.
@@ -217,11 +217,11 @@ You can use the built-in SGLang diffusion benchmark script to evaluate Wan2.1 pe
```
</Tab>
<Tab title="Ascend A3">
<Tab title="Ascend A3 Series">
**Server Command**:
```bash Command
#One A3 card has 2 npu chips. Benchmark was did with two A3 cards
#One A3 Series card has 2 npu chips. Benchmark was done with two A3 Series cards
sglang serve \
--model-path /models/Wan-AI/Wan2.1-T2V-14B-Diffusers/ \
--tp-size 2 \
@@ -321,11 +321,11 @@ You can use the built-in SGLang diffusion benchmark script to evaluate Wan2.1 pe
```
</Tab>
<Tab title="Ascend A3">
<Tab title="Ascend A3 Series">
**Server Command**:
```bash Command
#One A3 card has 2 npu chips. Benchmark was did with two Atlas 3 cards
#One A3 Series card has 2 npu chips. Benchmark was done with two A3 Series cards
SGLANG_CACHE_DIT_FN=2 \
SGLANG_CACHE_DIT_BN=1 \
SGLANG_CACHE_DIT_WARMUP=4 \
docs/cookbook/diffusion/Wan/Wan2.2.mdx
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@@ -35,7 +35,7 @@ This section provides deployment configurations optimized for different hardware
The Wan2.2 series offers models in various sizes, architectures and input types, optimized for different hardware platforms. The recommended launch configurations vary by hardware and model size.
**Interactive Command Generator**: Use the configuration selector below to automatically generate the appropriate deployment command for your hardware platform, model size. SGLang supports serving Wan2.2 on NVIDIA B200, H200, AMD MI300X, MI325X, MI355X GPUs and Ascend A2, A3 NPUs.
**Interactive Command Generator**: Use the configuration selector below to automatically generate the appropriate deployment command for your hardware platform, model size. SGLang supports serving Wan2.2 on NVIDIA B200, H200, AMD MI300X, MI325X, MI355X GPUs and Ascend A2/A3 Series NPUs.
<Wan22Deployment />
@@ -297,10 +297,10 @@ Test Environment:
```
</Tab>
<Tab title="Ascend A3">
<Tab title="Ascend A3 Series">
**Server Command**:
```shell Command
#One A3 card has 2 npu chips. Using four A3 cards in benchmarking
#One A3 Series card has 2 npu chips. Using four A3 Series cards in benchmarking
sglang serve \
--model-path /models/Wan-AI/Wan2.2-T2V-A14B-Diffusers/ \
--tp-size 2 \
@@ -399,11 +399,11 @@ Test Environment:
```
</Tab>
<Tab title="Ascend A3">
<Tab title="Ascend A3 Series">
**Server Command**:
```shell Command
#One A3 card has 2 npu chips. Using four A3 cards in benchmarking
#One A3 Series card has 2 npu chips. Using four A3 Series cards in benchmarking
SGLANG_CACHE_DIT_FN=2 \
SGLANG_CACHE_DIT_BN=1 \
SGLANG_CACHE_DIT_WARMUP=4 \