> For the complete documentation index, see [llms.txt](https://docs.emc.network/emc/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.emc.network/emc/zhong-wen/emc-network/emc-jie-dian-bu-shu.md).

# EMC节点部署

## 要求

EMC 测试网络目前优先考虑来自 EPN（EdgeMatrix 合作伙伴网络）合作伙伴的 GPU 提供商。

如果您代表 IDC 或计算中心，请考虑加入 EPN 计划，\
如果您是能够为 AI 应用和客户提供稳定计算能力的个人节点运营商，**请在进行部署/质押代币到节点前先与我们联系以加入测试网络的白名单。请联系** [**Discord**](https://discord.gg/bAPhdTcEXw) **上的管理员以获取更多详细信息。**

## 系统要求

    操作系统：Ubuntu 22.04

    显卡驱动 535版本、显存>=12G

## 一、安装Docker、Nvidia Virtualization

```
# 1.安装依赖
sudo apt-get update
sudo apt-get install ca-certificates curl gnupg
sudo install -m 0755 -d /etc/apt/keyrings
curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo gpg --dearmor -o /etc/apt/keyrings/docker.gpg
sudo chmod a+r /etc/apt/keyrings/docker.gpg
# 2.配置软件源
echo \
  "deb [arch=$(dpkg --print-architecture) signed-by=/etc/apt/keyrings/docker.gpg] https://download.docker.com/linux/ubuntu \
  $(. /etc/os-release && echo "$VERSION_CODENAME") stable" | \
  sudo tee /etc/apt/sources.list.d/docker.list > /dev/null
# 3.安装Docker
sudo apt update
sudo apt-get install docker-ce docker-ce-cli containerd.io docker-buildx-plugin docker-compose-plugin
# 4.安装NVIDIA GPU Docker Virtualization
distribution=$(. /etc/os-release;echo $ID$VERSION_ID) \
      && 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/$distribution/libnvidia-container.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
sudo apt-get update
sudo apt-get install -y nvidia-container-toolkit
sudo systemctl restart docker
sudo nvidia-ctk runtime configure --runtime=docker
sudo systemctl restart docker
# 5.验证部署
sudo docker run --rm --gpus=all nvidia/cuda:11.8.0-base-ubuntu22.04 nvidia-smi
```

## 二、部署EMC及EMC Cloud云控

```bash
# Linux
curl -s https://install.edgematrix.pro/setup_linux.sh |sh #初始化EMC
curl -s https://install.edgematrix.pro/setup_cloud_linux.sh |sh #初始化EMC CLOUD
# 启动节点
cd emc
./start.sh
# 启动EMC CLOUD
cd ../cloud
./cloud_client.sh

```

## 三、注册节点奖励钱包

```
# 其中的xxxxxx替换为你的Arb链钱包地址
./edge-matrix node register --commit set --node computing --owner xxxxxx
```

## 四、节点绑定钱包及质押

完成注册后，需要对节点进行绑定钱包，并进行质押EMC操作才能正常获取任务奖励。

**请在质押前先到** [**Discord**](https://discord.gg/3WhxEBPcac) **与官方人员确定节点白名单相关细节**

绑定及质押地址：<https://dashboard.edgematrix.pro/#/nodes/xxxxxx>

注意：请将质押地址中的xxxxxx替换为你自己的Node ID。（在启动EMC CLOUD时会有输出Node ID，以及第五节中辅助脚本也能查看到）

### 五、辅助验证及查看脚本

<pre><code><strong># 查询版本
</strong><strong>./edge-matrix version
</strong># 查询节点ID
./edge-matrix secrets output --data-dir edge_data
# 查询节点状态
./edge-matrix node status
</code></pre>

验证节点和路由节点需要质押 EMC token，因此大部分普通用户主要登记为算力节点，如需登记为验证节点或路由节点，请联系我们。

## 重装

如果需要重新安装，那么请先备份好emc/edge\_data目录。它可以确保依然使用原始nodeID和钱包地址。

```
# 1.杀掉emc的进程
sudo pkill edge-matrix 
sudo pkill nomad
# 2.备份emc/edge_data目录
cd emc
sudo cp -r edge_data ../
# 3.删除emc和cloud文件夹, 删除emc_cloud_linux_64.tgz和emc_linux_64.tgz文件
cd ..
sudo rm -rf emc cloud emc_cloud_linux_64.tgz emc_linux_64.tgz
# 3.再重新安装一遍EMC节点
# 4.当安装完成后再把edge_data目录还原回来覆盖
sudo cp -rf edge_data emc/
```

如果您有任何问题，您可以去 [Telegram](https://t.me/emc_network) 或 [Discord](https://discord.gg/Yj6vyv8D48) 留言。


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