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阿里云国内75折回扣微信号：monov8

阿里云国际，腾讯云国际，低至75折。AWS 93折免费开户实名账号代冲值优惠多多微信号：monov8 飞机：@monov6

硬件准备:

8g以上显存的显卡(3060Ti以上)、16g以上内存、cpu是x86_64架构且支持avx2指令集、电源500w以上、1T的磁盘

free -g看内存

cat /proc/cpuinfo | grep avx2查指令集

资源准备

磁盘扩容

我扩大根目录

sudo lvextend -l +100%FREE /dev/mapper/ubuntu--vg-ubuntu--lv

sudo resize2fs /dev/mapper/ubuntu--vg-ubuntu--lv

docker及compose安装

准备install.sh运行

install.sh的内容如下

echo "1.install nvidia-container-runtime ..."
sudo curl -s -L https://nvidia.github.io/nvidia-container-runtime/gpgkey |
sudo apt-key add -
distribution=$(. /etc/os-release;echo $ID$VERSION_ID)
sudo 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 -y install nvidia-container-runtime
which nvidia-container-runtime-hook

echo "2.install docker ..."
sudo apt-get -y install apt-transport-https ca-certificates curl software-properties-common
curl -fsSL http://mirrors.aliyun.com/docker-ce/linux/ubuntu/gpg | sudo apt-key add -
sudo add-apt-repository "deb [arch=amd64] http://mirrors.aliyun.com/docker-ce/linux/ubuntu $(lsb_release -cs) stable"

sudo apt-get -y update
sudo apt-get -y install docker-ce
sudo docker -v

echo "3.install docker-compose ..."

sudo cp /rongqi/docker/docker-compose /usr/local/bin/docker-compose
sudo chmod +x /usr/local/bin/docker-compose
sudo docker-compose -v

echo "5.set docker daemon.json file ..."
sudo cat > /etc/docker/daemon.json <<EOF
{
"runtimes": {
"nvidia": {
"path": "nvidia-container-runtime",
"runtimeArgs": []
}
},
"registry-mirrors": [
"https://mirror.ccs.tencentyun.com"
]
}
EOF

显卡驱动及cuda安装

rongqi目录上一步已经给大家上传了

#安装显卡驱动
sudo apt-get update
sudo apt-get install gcc
sudo apt-get install make
cp /rongqi/xianka/NVIDIA-Linux-x86_64-535.98.run /home/自己的用户目录/NVIDIA-Linux-x86_64-535.98.run

sudo sh NVIDIA-Linux-x86_64-535.98.run
nvidia-smi
sudo apt purge nvidia-driver*
sudo apt install nvidia-driver-535
cp /rongqi/xianka/cuda_12.2.1_535.86.10_linux.run /home/自己的用户目录/cuda_12.2.1_535.86.10_linux.run
sudo sh cuda_12.2.1_535.86.10_linux.run --silent --toolkit
sudo sh cuda_12.2.1_535.86.10_linux.run
nvcc -V