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2024-02-21 15:23:39 +08:00 · 2024-02-21 15:23:39 +08:00 · 0dc37c3e7e
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--- a/README.md
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+
+
+
+
+## 基础环境(ubuntu)
+
+
+
+```bash 
+
+sudo apt update && sudo  apt install nvidia-driver-535 curl neovim -y && curl -SLs get.docker.com | sudo bash 
+
+sudo systemctl enable docker
+sudo systemctl start docker
+sudo groupadd docker
+sudo gpasswd -a ${USER} docker
+sudo chmod a+rw /var/run/docker.sock
+
+curl -s -L https://nvidia.github.io/nvidia-container-runtime/gpgkey | \
+  sudo apt-key add -
+distribution=$(. /etc/os-release;echo $ID$VERSION_ID)
+curl -s -L https://nvidia.github.io/nvidia-container-runtime/$distribution/nvidia-container-runtime.list | \
+  sudo tee /etc/apt/sources.list.d/nvidia-container-runtime.list
+sudo apt-get update
+
+sudo apt-get install nvidia-container-runtime
+sudo reboot
+```
+
+
+
+## CPU挖矿
+
+运行挖矿程序
+
+```
+docker run -itd --name qubic-cpu --restart=always \
+	-e name=矿机名称 \
+	-e token="钱包地址"  \
+	-e num=使用线程数  \
+	qubic-GPU:latest
+```
+
+## GPU 挖矿
+
+运行挖矿程序
+
+```bash 
+docker run -itd --name qubic-gpu  --gpus all --restart=always \
+	-e name=矿机名称 \
+	-e token="钱包地址"  \
+	-e num=使用线程数  \
+	qubic-GPU:latest
+```
+
+## 卸载挖矿
+
+###  cpu
+
+```bash
+docker rm -f qubic-cpu
+```
+
+
+
+### gpu
+
+```bash
+docker rm -f qubic-gpu
+```
+
+
+
+
+
+
+
--- a/30
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+# 使用 nvidia/cuda 作为基础镜像
+FROM nvidia/cuda:12.3.1-base-ubuntu22.04
+USER root
+
+# 设置环境变量
+ARG version=1.8.6
+ENV name="dockerworker" 
+ENV num=1 
+ENV token="HDPLAFMDTZKMSEIGRGCCPPYNYVRBNOXMCSAGXENGODMWPLKJXSAJKUGGETMN"
+
+
+# 换源为清华源并更新源，创建目录并下载解压qli-Client，更改appsettings.json
+RUN mv /etc/apt/sources.list /etc/apt/sources.list.bak && \
+    echo "deb https://mirrors.tuna.tsinghua.edu.cn/ubuntu/ jammy main restricted universe multiverse" >> /etc/apt/sources.list && \
+    echo "deb https://mirrors.tuna.tsinghua.edu.cn/ubuntu/ jammy-updates main restricted universe multiverse" >>/etc/apt/sources.list && \
+    echo "deb https://mirrors.tuna.tsinghua.edu.cn/ubuntu/ jammy-backports main restricted universe multiverse" >>/etc/apt/sources.list && \
+    echo "deb http://security.ubuntu.com/ubuntu/ jammy-security main restricted universe multiverse" >>/etc/apt/sources.list && \
+    apt-get update && apt-get install -y libc6 libicu-dev wget curl g++-11 && \
+    rm -rf /var/lib/apt/lists/* && \
+    mkdir /q && \
+    wget -O /q/qli-Client-${version}-Linux-x64.tar.gz https://dl.qubic.li/downloads/qli-Client-${version}-Linux-x64.tar.gz && \
+    tar -xzvf /q/qli-Client-${version}-Linux-x64.tar.gz -C /q/ && \
+    rm /q/qli-Client-${version}-Linux-x64.tar.gz && \
+    mv /q/qli-Client /q/trainer
+
+# 设置工作目录
+WORKDIR /q
+
+# 在容器启动时运行命令
+CMD sh -c "echo '{ \"Settings\": { \"baseUrl\": \"https://mine.qubic.li/\", \"amountOfThreads\": \"$num\", \"alias\": \"$name\", \"payoutId\":"${token}", \"accessToken\": null, \"autoupdateEnabled\": false} }' > appsettings.json && ./trainer"
--- a/gpu.dockerfile
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+# 使用 nvidia/cuda 作为基础镜像
+FROM nvidia/cuda:12.3.1-base-ubuntu22.04
+USER root
+
+# 设置环境变量
+ARG version=1.8.6
+ENV name="1" 
+ENV num=1
+ENV token="MUHHZYNAUSWPQAPQVEEDPWVOIQTBJBBZFAJKZURUGBAIKFAPHRUYPUMFGFEG"
+ENV url="https://mine.qubic.li/"
+
+
+# 换源为清华源并更新源，创建目录并下载解压qli-Client，更改appsettings.json
+RUN mv /etc/apt/sources.list /etc/apt/sources.list.bak && \
+  echo "deb https://mirrors.tuna.tsinghua.edu.cn/ubuntu/ jammy main restricted universe multiverse" >> /etc/apt/sources.list && \
+  echo "deb https://mirrors.tuna.tsinghua.edu.cn/ubuntu/ jammy-updates main restricted universe multiverse" >>/etc/apt/sources.list && \
+  echo "deb https://mirrors.tuna.tsinghua.edu.cn/ubuntu/ jammy-backports main restricted universe multiverse" >>/etc/apt/sources.list && \
+  echo "deb http://security.ubuntu.com/ubuntu/ jammy-security main restricted universe multiverse" >>/etc/apt/sources.list && \
+  apt-get update && apt-get install -y libicu-dev wget && \
+  rm -rf /var/lib/apt/lists/* && \
+  mkdir /q && \
+  wget -O /q/qli-Client-${version}-Linux-x64.tar.gz https://dl.qubic.li/downloads/qli-Client-${version}-Linux-x64.tar.gz && \
+  tar -xzvf /q/qli-Client-${version}-Linux-x64.tar.gz -C /q/ && \ 
+  rm /q/qli-Client-${version}-Linux-x64.tar.gz && \   
+  mv /q/qli-Client /q/trainer
+
+# 设置工作目录
+WORKDIR /q
+
+# 在容器启动时运行命令
+CMD sh -c "echo '{\"Settings\": {\"baseUrl\": \"$url\",\"amountOfThreads\": $num,\"payoutId\": \"$token\",\"accessToken\": null,\"overwrites\": {\"CUDA\": \"12\"},\"allowHwInfoCollect\": true,\"alias\": \"$name\"}}' > appsettings.json && ./trainer"