apps/FastDeploy
1
0
Fork 0
mirror of https://github.com/PaddlePaddle/FastDeploy.git synced 2025-12-24 13:28:13 +08:00
Code Issues Actions 2 Packages Projects Releases Wiki Activity

fix typos (#4176)

Browse Source 
* fix typos

* fix
This commit is contained in:
co63oc
2025-09-22 14:27:17 +08:00
committed by GitHub
parent 0b62648924
commit c4830ef24c
10 changed files with 34 additions and 50 deletions
Download Patch File Download Diff File Expand all files Collapse all files

2
docs/get_started/installation/nvidia_gpu.md
View File

@@ -10,7 +10,7 @@ The following installation methods are available when your environment meets the
## 1. Pre-built Docker Installation (Recommended)
**Notice**: The pre-built image only supports SM80/90 GPU(e.g. H800/A800)，if you are deploying on SM86/89GPU(L40/4090/L20), please reinstall ```fastdpeloy-gpu``` after you create the container.
**Notice**: The pre-built image only supports SM80/90 GPU(e.g. H800/A800)，if you are deploying on SM86/89GPU(L40/4090/L20), please reinstall ```fastdeploy-gpu``` after you create the container.
```shell
docker pull ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlepaddle/fastdeploy-cuda-12.6:2.2.0