---
# System prepended metadata

title: 安裝Tesla V100 for win server 2019 操作手冊
tags: [環境安裝, GPU]

---

# 安裝Tesla V100 for win server 2019 操作手冊

![](https://i.imgur.com/GDYMkPL.png)
![](https://i.imgur.com/NyMqSWz.png)

win srv 2019 tesla v100 driver download
https://www.nvidia.com/Download/Find.aspx
![](https://i.imgur.com/DUF4xUw.png)
安裝
![](https://i.imgur.com/Rm5cZzv.png)
因為解壓縮根本沒反應，所以手動7-zip執行
![](https://i.imgur.com/6mRA2w1.png)
![](https://i.imgur.com/SFKeleo.png)
![](https://i.imgur.com/HoSP1bA.png)
![](https://i.imgur.com/c8vCz67.png)
![](https://i.imgur.com/R5cg9tl.png)
安裝 anaconda 虛擬環境管理工具
https://www.anaconda.com/products/distribution
![](https://i.imgur.com/GCfi1tt.png)

# 安裝 GPU cuda 11.6
(先)安裝 visual studio comnumication 
https://developer.nvidia.com/cuda-11-6-0-download-archive?target_os=Windows&target_arch=x86_64&target_version=Server2019&target_type=exe_network
# 安裝 cudnn for cuda 11.6
登入 nvidia 下載 cudnn xxx .zip
解壓縮後放到 C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.6 路徑下
用 nvidia-smi 得到下圖 成功
![](https://i.imgur.com/7ikBvy5.png)

# 安裝 python
![](https://i.imgur.com/yBpm7x2.png)
```
python -m pip install --upgrade pip 
conda update -n base -c defaults conda
conda env list  # 列出python 虛擬環境清單
conda create --name py3.10 python=3.10  # 建立新python環境

Preparing transaction: done
Verifying transaction: done
Executing transaction: done
#
# To activate this environment, use
#
#     $ conda activate py3.10
#
# To deactivate an active environment, use
#
#     $ conda deactivate
conda activate py3.10
conda install -c anaconda git
cd c:\develop
git clone https://github.com/camenduru/stable-diffusion-webui-colab
pip install jupyter
jupyter notebook
```
成功開啟 jupyter notebook
![](https://i.imgur.com/HsoldyQ.png)

# 到目前為止都健康的，但是這個github裡面的程式都是for google colab的 .ipython 所以還是要在 google colab裡面執行

另外弄了一個，測試沒問題https://github.com/Belval/TextRecognitionDataGenerator
cd c:\develop\TextRecognitionDataGenerator\trdg
python run.py -c 10 -l cn -w 5 -sw 0 -or 1
![](https://i.imgur.com/jK0QX6O.png)








