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[Doc] fix the nit in docs (#6826)

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Refresh the doc, fix the nit in the docs

- vLLM version: v0.15.0
- vLLM main:
83b47f67b1

Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>
This commit is contained in:
wangxiyuan
2026-02-27 11:50:27 +08:00
committed by GitHub
parent 981d803cb7
commit a95c0b8b82
30 changed files with 145 additions and 118 deletions
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6
docs/source/faqs.md
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@@ -9,7 +9,7 @@
### 1. What devices are currently supported?
Currently, **ONLY** Atlas A2 series (Ascend-cann-kernels-910b)，Atlas A3 series (Atlas-A3-cann-kernels) and Atlas 300I (Ascend-cann-kernels-310p) series are supported:
Currently, **ONLY** Atlas A2 series (Ascend-cann-kernels-910b), Atlas A3 series (Atlas-A3-cann-kernels) and Atlas 300I (Ascend-cann-kernels-310p) series are supported:
- Atlas A2 Training series (Atlas 800T A2, Atlas 900 A2 PoD, Atlas 200T A2 Box16, Atlas 300T A2)
- Atlas 800I A2 Inference series (Atlas 800I A2)
@@ -23,7 +23,7 @@ Below series are NOT supported yet:
- Atlas 200I A2 (Ascend-cann-kernels-310b) unplanned yet
- Ascend 910, Ascend 910 Pro B (Ascend-cann-kernels-910) unplanned yet
From a technical view, vllm-ascend support would be possible if torch-npu is supported. Otherwise, we have to implement it by using custom ops. We also welcome you to join us to improve together.
From a technical view, vllm-ascend supports devices if torch-npu is supported. Otherwise, we have to implement it by using custom ops. We also welcome you to join us to improve together.
### 2. How to get our docker containers?
@@ -108,7 +108,7 @@ If all above steps are not working, feel free to submit a GitHub issue.
### 8. Does vllm-ascend support Prefill Disaggregation feature?
Yes, vllm-ascend supports Prefill Disaggregation feature with Mooncake backend. Take [official tutorial](https://docs.vllm.ai/projects/ascend/en/latest/tutorials/pd_disaggregation_mooncake_multi_node.html) for example.
Yes, vllm-ascend supports Prefill Disaggregation feature with Mooncake backend. See the [official tutorial](https://docs.vllm.ai/projects/ascend/en/latest/tutorials/pd_disaggregation_mooncake_multi_node.html) for example.
### 9. Does vllm-ascend support quantization method?