188 lines
4.9 KiB
Markdown
188 lines
4.9 KiB
Markdown
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---
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#领域/未知
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#复盘/0 #临时/备忘 #状态/待处理
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20260312-备忘-主题名-文件内容
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## 一句话描述
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[________]
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---
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向日葵：
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设备码：289 699 930
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密码：cyfx-510
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## Ubuntu
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```bash
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sudo apt update && sudo apt upgrade
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sudo apt install openssh-server
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```
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服务器配置
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静态IP 192.168.0.151
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用户名 nyt
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密码: 123456
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## 1Panel
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在线文档: [在线安装](https://1panel.cn/docs/v2/installation/online_installation/#2)
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```bash
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# 安装 1Panel
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sudo apt install curl -y
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sudo bash -c "$(curl -sSL https://resource.fit2cloud.com/1panel/package/v2/quick_start.sh)"
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```
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### 配置信息
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安装路径: /opt
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1Panel 端口: 8000
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安全入口: cyfx
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用户名：admin
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密码：admin123456
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内部地址：http://192.168.0.151:8000/cyfx
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## NVIDIA 驱动
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```bash
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# 检测 GPU 硬件
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lspci | grep -i nvidia
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sudo apt install ubuntu-drivers-common -y
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# 查看推荐驱动版本
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ubuntu-drivers devices
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# driver : nvidia-driver-580-open - distro non-free recommended
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sudo apt install nvidia-driver-580-open -y
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reboot
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nvidia-smi
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```
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```bash
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nyt@nyt-LEGION-REN7000K-26IRX:~/workspace$ nvidia-smi
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Thu Mar 12 16:44:04 2026
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+-----------------------------------------------------------------------------------------+
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| NVIDIA-SMI 580.126.09 Driver Version: 580.126.09 CUDA Version: 13.0 |
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+-----------------------------------------+------------------------+----------------------+
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| GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC |
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| Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. |
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| | | MIG M. |
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|=========================================+========================+======================|
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| 0 NVIDIA GeForce RTX 3060 Off | 00000000:01:00.0 Off | N/A |
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| 0% 35C P8 10W / 170W | 152MiB / 12288MiB | 0% Default |
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| | | N/A |
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+-----------------------------------------+------------------------+----------------------+
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+-----------------------------------------------------------------------------------------+
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| Processes: |
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| GPU GI CI PID Type Process name GPU Memory |
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| ID ID Usage |
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|=========================================================================================|
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| 0 N/A N/A 1386 G /usr/lib/xorg/Xorg 52MiB |
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| 0 N/A N/A 1655 G /usr/bin/gnome-shell 76MiB |
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+-----------------------------------------------------------------------------------------+
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```
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## 安装 NVIDIA docker Container Toolkit
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```bash
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sudo usermod -aG docker $USER
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# 配置 NVIDIA Container Toolkit 仓库
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curl -fsSL https://nvidia.github.io/libnvidia-container/gpgkey | sudo gpg --dearmor -o /usr/share/keyrings/nvidia-container-toolkit-keyring.gpg && curl -s -L https://nvidia.github.io/libnvidia-container/stable/deb/nvidia-container-toolkit.list | sed 's#deb https://#deb [signed-by=/usr/share/keyrings/nvidia-container-toolkit-keyring.gpg] https://#g' | sudo tee /etc/apt/sources.list.d/nvidia-container-toolkit.list
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# 更新包列表
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sudo apt-get update
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# 安装 NVIDIA Container Toolkit
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sudo apt-get install -y nvidia-container-toolkit
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# 重启 Docker
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sudo systemctl restart docker
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# 配置 Docker 守护进程以使用 NVIDIA 运行时
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sudo nvidia-ctk runtime configure --runtime=docker
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# 重启 Docker 使配置生效
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sudo systemctl restart docker
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```
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## Ollama
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端口：8001
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拉取：qwen3.5:0.8b
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## 安装 Dify
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```bash
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git clone https://github.com/langgenius/dify.git
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cd dify/docker
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# 复制环境配置示例文件(根据实际文件名调整)
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cp .env.example .env
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# 测试bug：修改配置文件后，长时间初始加载，使用默认配置成功安装登录
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```
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```yaml
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# API 服务绑定地址，默认 0.0.0.0 表示所有地址都可访问
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DIFY_BIND_ADDRESS=0.0.0.0
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# API 服务绑定端口，默认 5001
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DIFY_PORT=8004
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CONSOLE_API_URL=http://192.168.0.151
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CONSOLE_WEB_URL=http://192.168.0.151
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SERVICE_API_URL=http://192.168.0.151
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TRIGGER_URL=http://192.168.0.151
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APP_API_URL=http://192.168.0.151
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APP_WEB_URL=http://192.168.0.151
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FILES_URL=http://192.168.0.151
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# HTTP 端口
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NGINX_PORT=80
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# 暴露的 Nginx 端口
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EXPOSE_NGINX_PORT=8005
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EXPOSE_NGINX_SSL_PORT=443
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```
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```yaml
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# 暴露的 Nginx 端口
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EXPOSE_NGINX_PORT=8005
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``` |