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