摆脱token限制：本地部署Ollama并通过Nginx代理实现外网简单调用
前言
最近写代码有点多，整体框架会用Gemini生成，后续自己修正想增加一点代码自动补全的功能，于是搜索了一下，得出的结论就是代码自动补全本身非常轻量，最高优先级是本地设备跑，延迟低，响应快，于是就抱着试试的态度自己在本地搭建Ollma。
最终选择在家庭NAS上面部署Ollma，选择相对轻量的 qwen2.5-coder 模型，并通过nginx反向代理，外网一样可以使用。
模型选择
速度方案：
qwen2.5-coder:1.5b( ⭐⭐⭐⭐)- 理由：15亿参数，速度快，准确度也行，应对日常的语法补全和短片段生成完全足够。
平衡方案：
qwen2.5-coder:3b( ⭐⭐⭐⭐⭐)- 理由：30 亿参数，逻辑能力和准确度比 1.5b 有质的飞跃，在相对好点的 CPU 上跑起来延迟能控制在 500ms 左右，属于准确度与速度的最佳甜点位。
准确度方案：
qwen2.5-coder:7b(谨慎 ⭐⭐⭐)- 理由：70 亿参数，准确度高，代码能力强悍。但是，响应慢，类似我的CPU i7-10700 响应时间在 1 秒左右，对于只是简单的代码补全功能，有点繁重了。
考量
模型依赖的都是GPU算力，正好家里还有一块GTX 1060的显卡，本想着插上使用来避免使用纯CPU造成的生成速度不够快的问题，但是看了一下各个平台的token费用，最终还是在电费上面选择妥协了。
一年估计有个一两百块电费，直接用来买token，像我这种轻量使用的话，一年都花不了几十块钱。
另外，国外有很多免费的可以使用，虽然大多数都被墙了，但是家里本来就可以访问，类似Groq，免费速度快，也不失为一个备选方案。
部署
Ollma的部署其实很简单，都不用多介绍，一行命令就可以搞定：
curl -fsSL https://ollama.com/install.sh | sh安装路径
默认的上面一行命令即可，这是改到我比较习惯的
/etc/ollama目录
默认是安装在 /usr/local 目录下，我更偏向直接安装在 /etc/ollama 目录下，并且模型下载到 /etc/ollama/models ，这样更方便管理，于是就直接更改它的 install.sh ，需要的可以文末自取。
确认并修改系统进程：
vim /etc/systemd/system/ollama.service内容应该如下：
[Unit]
Description=Ollama Service
After=network-online.target
[Service]
ExecStart=/etc/ollama/bin/ollama serve
User=ollama
Group=ollama
Restart=always
RestartSec=3 Environment="PATH=/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/snap/bin"
Environment="OLLAMA_HOST=0.0.0.0:11434" # 要加的配置：允许外部访问
Environment="OLLAMA_MODELS=/etc/ollama/models" # (可选) 如果下载的大模型文件也放在 /etc/ollama/data 下
[Install]
WantedBy=default.target
重载系统进程配置并启动：
systemctl daemon-reload
systemctl start ollama.service
systemctl status ollama.service
下载并部署模型
选择适合自己的就行：
ollama run qwen2.5-coder:1.5b # 我下载的这个
ollama run qwen2.5-coder:3b
ollama run qwen2.5-coder:7b下载完成后，按下键盘的 Ctrl + D 退出。
外网访问
创建 Nginx 配置文件
创建一个新的配置文件：
vim /etc/nginx/sites-available/ollama将以下配置直接粘贴进去（注意修改里面的自定义端口和 YOUR_SECRET_KEY ）：
server {
listen 8080;
server_name ollama.yourdomain.com;
#建议https，ssl自行配置即可。
location / {
# 【核心鉴权】：请求头 Authorization
# 把下面的 YOUR_SECRET_KEY 换成自己想设置的密码
if ($http_authorization != "Bearer YOUR_SECRET_KEY") {
return 401 "Unauthorized: Invalid API Key\n";
}
# 如果密码正确，将请求转发给本地的 Ollama 服务
proxy_pass http://127.0.0.1:11434;
# 传递原始请求信息
proxy_set_header Host $host;
proxy_set_header X-Real-IP $remote_addr;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
proxy_set_header X-Forwarded-Proto $scheme;
# 关闭缓冲，降低延迟
proxy_buffering off;
proxy_read_timeout 300;
}
}启用配置并重启 Nginx
# 创建软链接到 enabled 目录
sudo ln -s /etc/nginx/sites-available/ollama /etc/nginx/sites-enabled/
# 测试 Nginx 配置语法是否正确
sudo nginx -t
# 如果提示 syntax is ok, 重启 Nginx
sudo systemctl restart nginx现在，你的服务器已经在 8080 端口上提供带有 API Key 保护的 Ollama 服务了。
模型调用
根据使用的软件，进行相应配置。
比如我目前使用的是VS Code中 Continue 插件，打开 VS Code 的该插件的模型设置 config.yaml，增加模型的配置，内容如下：
YAML
name: Local Config
version: 1.0.0
schema: v1
models:
- name: Qwen Coder 1.5b (NAS）
provider: openai
model: qwen2.5-coder:1.5b
apiKey: "你在Nginx里配置的那个密码" # 例如: YOUR_SECRET_KEY
apiBase: "https://ollama.yourdomain.com:8080/v1" # 注意：端口是 Nginx 的端口，且末尾必须有 /v1
roles:
- chat # 对话，测试用，测试完把这一行删除，比较这个模型只能跑跑代码补全
- autocomplete # 自动补全
autocompleteOptions:
disable: false
debounceDelay: 400最终在边栏，通过chat问问问题，看看有没有报错，正常回答就说明ok了。
响应速度
即使部署了代码自动补全，但由于代码补全不像对话那么复杂，最看重的是响应速度，可以通过在服务器上运行以下命令：
sudo journalctl -u ollama -n 50 -f接着在 VS Code 中任意输入一些文字，回到服务器上查看跳出的数据：
我这台电脑延迟在800ms左右，只能算是中规中矩。
最后
Continue可以设置多个方案备选，比如本地部署的 qwen2.5-coder ，还可以再加个备选方案：Mistral 的 Codestral，Groq 的 Llama-3.1-8B 可以用作 chat 或者 edit 等等。
唯一的遗憾是国际壁垒，国内的模型目前可以说只有火山引擎在搞开发者活动，现在还是免费的，其他几家模型除了第一次注册的赠送额度外，基本上都要收费了。（关键是火山引擎的API接口，Continue插件还不适配，不过其他比如Obsidian这类文档插件可以使用。）国外的模型基本逃离不了被墙的命运。
附件
Ollama 更改安装地址为 /etc/ollama 的完整文件：
#!/bin/sh
# This script installs Ollama on Linux and macOS.
# It detects the current operating system architecture and installs the appropriate version of Ollama.
# Wrap script in main function so that a truncated partial download doesn't end
# up executing half a script.
main() {
set -eu
red="$( (/usr/bin/tput bold || :; /usr/bin/tput setaf 1 || :) 2>&-)"
plain="$( (/usr/bin/tput sgr0 || :) 2>&-)"
status() { echo ">>> $*" >&2; }
error() { echo "${red}ERROR:${plain} $*"; exit 1; }
warning() { echo "${red}WARNING:${plain} $*"; }
TEMP_DIR=$(mktemp -d)
cleanup() { rm -rf $TEMP_DIR; }
trap cleanup EXIT
available() { command -v $1 >/dev/null; }
require() {
local MISSING=''
for TOOL in $*; do
if ! available $TOOL; then
MISSING="$MISSING $TOOL"
fi
done
echo $MISSING
}
OS="$(uname -s)"
ARCH=$(uname -m)
case "$ARCH" in
x86_64) ARCH="amd64" ;;
aarch64|arm64) ARCH="arm64" ;;
*) error "Unsupported architecture: $ARCH" ;;
esac
VER_PARAM="${OLLAMA_VERSION:+?version=$OLLAMA_VERSION}"
###########################################
# macOS
###########################################
if [ "$OS" = "Darwin" ]; then
NEEDS=$(require curl unzip)
if [ -n "$NEEDS" ]; then
status "ERROR: The following tools are required but missing:"
for NEED in $NEEDS; do
echo " - $NEED"
done
exit 1
fi
DOWNLOAD_URL="https://ollama.com/download/Ollama-darwin.zip${VER_PARAM}"
if pgrep -x Ollama >/dev/null 2>&1; then
status "Stopping running Ollama instance..."
pkill -x Ollama 2>/dev/null || true
sleep 2
fi
if [ -d "/Applications/Ollama.app" ]; then
status "Removing existing Ollama installation..."
rm -rf "/Applications/Ollama.app"
fi
status "Downloading Ollama for macOS..."
curl --fail --show-error --location --progress-bar \
-o "$TEMP_DIR/Ollama-darwin.zip" "$DOWNLOAD_URL"
status "Installing Ollama to /Applications..."
unzip -q "$TEMP_DIR/Ollama-darwin.zip" -d "$TEMP_DIR"
mv "$TEMP_DIR/Ollama.app" "/Applications/"
if [ ! -L "/usr/local/bin/ollama" ] || [ "$(readlink "/usr/local/bin/ollama")" != "/Applications/Ollama.app/Contents/Resources/ollama" ]; then
status "Adding 'ollama' command to PATH (may require password)..."
mkdir -p "/usr/local/bin" 2>/dev/null || sudo mkdir -p "/usr/local/bin"
ln -sf "/Applications/Ollama.app/Contents/Resources/ollama" "/usr/local/bin/ollama" 2>/dev/null || \
sudo ln -sf "/Applications/Ollama.app/Contents/Resources/ollama" "/usr/local/bin/ollama"
fi
if [ -z "${OLLAMA_NO_START:-}" ]; then
status "Starting Ollama..."
open -a Ollama --args hidden
fi
status "Install complete. You can now run 'ollama'."
exit 0
fi
###########################################
# Linux
###########################################
[ "$OS" = "Linux" ] || error 'This script is intended to run on Linux and macOS only.'
IS_WSL2=false
KERN=$(uname -r)
case "$KERN" in
*icrosoft*WSL2 | *icrosoft*wsl2) IS_WSL2=true;;
*icrosoft) error "Microsoft WSL1 is not currently supported. Please use WSL2 with 'wsl --set-version <distro> 2'" ;;
*) ;;
esac
SUDO=
if [ "$(id -u)" -ne 0 ]; then
# Running as root, no need for sudo
if ! available sudo; then
error "This script requires superuser permissions. Please re-run as root."
fi
SUDO="sudo"
fi
NEEDS=$(require curl awk grep sed tee xargs)
if [ -n "$NEEDS" ]; then
status "ERROR: The following tools are required but missing:"
for NEED in $NEEDS; do
echo " - $NEED"
done
exit 1
fi
# Function to download and extract with fallback from zst to tgz
download_and_extract() {
local url_base="$1"
local dest_dir="$2"
local filename="$3"
# Check if .tar.zst is available
if curl --fail --silent --head --location "${url_base}/${filename}.tar.zst${VER_PARAM}" >/dev/null 2>&1; then
# zst file exists - check if we have zstd tool
if ! available zstd; then
error "This version requires zstd for extraction. Please install zstd and try again:
- Debian/Ubuntu: sudo apt-get install zstd
- RHEL/CentOS/Fedora: sudo dnf install zstd
- Arch: sudo pacman -S zstd"
fi
status "Downloading ${filename}.tar.zst"
curl --fail --show-error --location --progress-bar \
"${url_base}/${filename}.tar.zst${VER_PARAM}" | \
zstd -d | $SUDO tar -xf - -C "${dest_dir}"
return 0
fi
# Fall back to .tgz for older versions
status "Downloading ${filename}.tgz"
curl --fail --show-error --location --progress-bar \
"${url_base}/${filename}.tgz${VER_PARAM}" | \
$SUDO tar -xzf - -C "${dest_dir}"
}
for BINDIR in /usr/local/bin /usr/bin /bin; do
echo $PATH | grep -q $BINDIR && break || continue
done
# MODIFIED: Set custom installation directory
OLLAMA_INSTALL_DIR="/etc/ollama"
if [ -d "$OLLAMA_INSTALL_DIR/lib/ollama" ] ; then
status "Cleaning up old version at $OLLAMA_INSTALL_DIR/lib/ollama"
$SUDO rm -rf "$OLLAMA_INSTALL_DIR/lib/ollama"
fi
status "Installing ollama to $OLLAMA_INSTALL_DIR"
$SUDO install -o0 -g0 -m755 -d $BINDIR
$SUDO install -o0 -g0 -m755 -d "$OLLAMA_INSTALL_DIR/lib/ollama"
$SUDO install -o0 -g0 -m755 -d "$OLLAMA_INSTALL_DIR/bin"
download_and_extract "https://ollama.com/download" "$OLLAMA_INSTALL_DIR" "ollama-linux-${ARCH}"
if [ "$OLLAMA_INSTALL_DIR/bin/ollama" != "$BINDIR/ollama" ] ; then
status "Making ollama accessible in the PATH in $BINDIR"
# MODIFIED: Point symlink specifically to the nested bin directory
$SUDO ln -sf "$OLLAMA_INSTALL_DIR/bin/ollama" "$BINDIR/ollama"
fi
# Check for NVIDIA JetPack systems with additional downloads
if [ -f /etc/nv_tegra_release ] ; then
if grep R36 /etc/nv_tegra_release > /dev/null ; then
download_and_extract "https://ollama.com/download" "$OLLAMA_INSTALL_DIR" "ollama-linux-${ARCH}-jetpack6"
elif grep R35 /etc/nv_tegra_release > /dev/null ; then
download_and_extract "https://ollama.com/download" "$OLLAMA_INSTALL_DIR" "ollama-linux-${ARCH}-jetpack5"
else
warning "Unsupported JetPack version detected. GPU may not be supported"
fi
fi
install_success() {
status 'The Ollama API is now available at 127.0.0.1:11434.'
status 'Install complete. Run "ollama" from the command line.'
# MODIFIED: Added instruction notification for models directory
status 'Note: Models are configured to be downloaded to /etc/ollama/models'
status 'If running manually without systemd, remember to run: export OLLAMA_MODELS=/etc/ollama/models'
}
trap install_success EXIT
# Everything from this point onwards is optional.
configure_systemd() {
if ! id ollama >/dev/null 2>&1; then
status "Creating ollama user..."
# MODIFIED: Changed default home directory for user ollama to /etc/ollama
$SUDO useradd -r -s /bin/false -U -m -d /etc/ollama ollama
fi
if getent group render >/dev/null 2>&1; then
status "Adding ollama user to render group..."
$SUDO usermod -a -G render ollama
fi
if getent group video >/dev/null 2>&1; then
status "Adding ollama user to video group..."
$SUDO usermod -a -G video ollama
fi
status "Adding current user to ollama group..."
$SUDO usermod -a -G ollama $(whoami)
# MODIFIED: Ensure models directory exists and is owned by the ollama user
status "Setting up models directory at /etc/ollama/models..."
$SUDO mkdir -p /etc/ollama/models
$SUDO chown -R ollama:ollama /etc/ollama
status "Creating ollama systemd service..."
# MODIFIED: Added OLLAMA_MODELS environment variable to systemd config
cat <<EOF | $SUDO tee /etc/systemd/system/ollama.service >/dev/null
[Unit]
Description=Ollama Service
After=network-online.target
[Service]
ExecStart=$BINDIR/ollama serve
User=ollama
Group=ollama
Restart=always
RestartSec=3
Environment="PATH=$PATH"
Environment="OLLAMA_MODELS=/etc/ollama/models"
[Install]
WantedBy=default.target
EOF
SYSTEMCTL_RUNNING="$(systemctl is-system-running || true)"
case $SYSTEMCTL_RUNNING in
running|degraded)
status "Enabling and starting ollama service..."
$SUDO systemctl daemon-reload
$SUDO systemctl enable ollama
start_service() { $SUDO systemctl restart ollama; }
trap start_service EXIT
;;
*)
warning "systemd is not running"
if [ "$IS_WSL2" = true ]; then
warning "see https://learn.microsoft.com/en-us/windows/wsl/systemd#how-to-enable-systemd to enable it"
fi
;;
esac
}
if available systemctl; then
configure_systemd
fi
# WSL2 only supports GPUs via nvidia passthrough
# so check for nvidia-smi to determine if GPU is available
if [ "$IS_WSL2" = true ]; then
if available nvidia-smi && [ -n "$(nvidia-smi | grep -o "CUDA Version: [0-9]*\.[0-9]*")" ]; then
status "Nvidia GPU detected."
fi
install_success
exit 0
fi
# Don't attempt to install drivers on Jetson systems
if [ -f /etc/nv_tegra_release ] ; then
status "NVIDIA JetPack ready."
install_success
exit 0
fi
# Install GPU dependencies on Linux
if ! available lspci && ! available lshw; then
warning "Unable to detect NVIDIA/AMD GPU. Install lspci or lshw to automatically detect and install GPU dependencies."
exit 0
fi
check_gpu() {
# Look for devices based on vendor ID for NVIDIA and AMD
case $1 in
lspci)
case $2 in
nvidia) available lspci && lspci -d '10de:' | grep -q 'NVIDIA' || return 1 ;;
amdgpu) available lspci && lspci -d '1002:' | grep -q 'AMD' || return 1 ;;
esac ;;
lshw)
case $2 in
nvidia) available lshw && $SUDO lshw -c display -numeric -disable network | grep -q 'vendor: .* \[10DE\]' || return 1 ;;
amdgpu) available lshw && $SUDO lshw -c display -numeric -disable network | grep -q 'vendor: .* \[1002\]' || return 1 ;;
esac ;;
nvidia-smi) available nvidia-smi || return 1 ;;
esac
}
if check_gpu nvidia-smi; then
status "NVIDIA GPU installed."
exit 0
fi
if ! check_gpu lspci nvidia && ! check_gpu lshw nvidia && ! check_gpu lspci amdgpu && ! check_gpu lshw amdgpu; then
install_success
warning "No NVIDIA/AMD GPU detected. Ollama will run in CPU-only mode."
exit 0
fi
if check_gpu lspci amdgpu || check_gpu lshw amdgpu; then
download_and_extract "https://ollama.com/download" "$OLLAMA_INSTALL_DIR" "ollama-linux-${ARCH}-rocm"
install_success
status "AMD GPU ready."
exit 0
fi
CUDA_REPO_ERR_MSG="NVIDIA GPU detected, but your OS and Architecture are not supported by NVIDIA. Please install the CUDA driver manually https://docs.nvidia.com/cuda/cuda-installation-guide-linux/"
# ref: https://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html#rhel-7-centos-7
# ref: https://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html#rhel-8-rocky-8
# ref: https://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html#rhel-9-rocky-9
# ref: https://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html#fedora
install_cuda_driver_yum() {
status 'Installing NVIDIA repository...'
case $PACKAGE_MANAGER in
yum)
$SUDO $PACKAGE_MANAGER -y install yum-utils
if curl -I --silent --fail --location "https://developer.download.nvidia.com/compute/cuda/repos/$1$2/$(uname -m | sed -e 's/aarch64/sbsa/')/cuda-$1$2.repo" >/dev/null ; then
$SUDO $PACKAGE_MANAGER-config-manager --add-repo https://developer.download.nvidia.com/compute/cuda/repos/$1$2/$(uname -m | sed -e 's/aarch64/sbsa/')/cuda-$1$2.repo
else
error $CUDA_REPO_ERR_MSG
fi
;;
dnf)
if curl -I --silent --fail --location "https://developer.download.nvidia.com/compute/cuda/repos/$1$2/$(uname -m | sed -e 's/aarch64/sbsa/')/cuda-$1$2.repo" >/dev/null ; then
$SUDO $PACKAGE_MANAGER config-manager --add-repo https://developer.download.nvidia.com/compute/cuda/repos/$1$2/$(uname -m | sed -e 's/aarch64/sbsa/')/cuda-$1$2.repo
else
error $CUDA_REPO_ERR_MSG
fi
;;
esac
case $1 in
rhel)
status 'Installing EPEL repository...'
# EPEL is required for third-party dependencies such as dkms and libvdpau
$SUDO $PACKAGE_MANAGER -y install https://dl.fedoraproject.org/pub/epel/epel-release-latest-$2.noarch.rpm || true
;;
esac
status 'Installing CUDA driver...'
if [ "$1" = 'centos' ] || [ "$1$2" = 'rhel7' ]; then
$SUDO $PACKAGE_MANAGER -y install nvidia-driver-latest-dkms
fi
$SUDO $PACKAGE_MANAGER -y install cuda-drivers
}
# ref: https://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html#ubuntu
# ref: https://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html#debian
install_cuda_driver_apt() {
status 'Installing NVIDIA repository...'
if curl -I --silent --fail --location "https://developer.download.nvidia.com/compute/cuda/repos/$1$2/$(uname -m | sed -e 's/aarch64/sbsa/')/cuda-keyring_1.1-1_all.deb" >/dev/null ; then
curl -fsSL -o $TEMP_DIR/cuda-keyring.deb https://developer.download.nvidia.com/compute/cuda/repos/$1$2/$(uname -m | sed -e 's/aarch64/sbsa/')/cuda-keyring_1.1-1_all.deb
else
error $CUDA_REPO_ERR_MSG
fi
case $1 in
debian)
status 'Enabling contrib sources...'
$SUDO sed 's/main/contrib/' < /etc/apt/sources.list | $SUDO tee /etc/apt/sources.list.d/contrib.list > /dev/null
if [ -f "/etc/apt/sources.list.d/debian.sources" ]; then
$SUDO sed 's/main/contrib/' < /etc/apt/sources.list.d/debian.sources | $SUDO tee /etc/apt/sources.list.d/contrib.sources > /dev/null
fi
;;
esac
status 'Installing CUDA driver...'
$SUDO dpkg -i $TEMP_DIR/cuda-keyring.deb
$SUDO apt-get update
[ -n "$SUDO" ] && SUDO_E="$SUDO -E" || SUDO_E=
DEBIAN_FRONTEND=noninteractive $SUDO_E apt-get -y install cuda-drivers -q
}
if [ ! -f "/etc/os-release" ]; then
error "Unknown distribution. Skipping CUDA installation."
fi
. /etc/os-release
OS_NAME=$ID
OS_VERSION=$VERSION_ID
PACKAGE_MANAGER=
for PACKAGE_MANAGER in dnf yum apt-get; do
if available $PACKAGE_MANAGER; then
break
fi
done
if [ -z "$PACKAGE_MANAGER" ]; then
error "Unknown package manager. Skipping CUDA installation."
fi
if ! check_gpu nvidia-smi || [ -z "$(nvidia-smi | grep -o "CUDA Version: [0-9]*\.[0-9]*")" ]; then
case $OS_NAME in
centos|rhel) install_cuda_driver_yum 'rhel' $(echo $OS_VERSION | cut -d '.' -f 1) ;;
rocky) install_cuda_driver_yum 'rhel' $(echo $OS_VERSION | cut -c1) ;;
fedora) [ $OS_VERSION -lt '39' ] && install_cuda_driver_yum $OS_NAME $OS_VERSION || install_cuda_driver_yum $OS_NAME '39';;
amzn) install_cuda_driver_yum 'fedora' '37' ;;
debian) install_cuda_driver_apt $OS_NAME $OS_VERSION ;;
ubuntu) install_cuda_driver_apt $OS_NAME $(echo $OS_VERSION | sed 's/\.//') ;;
*) exit ;;
esac
fi
if ! lsmod | grep -q nvidia || ! lsmod | grep -q nvidia_uvm; then
KERNEL_RELEASE="$(uname -r)"
case $OS_NAME in
rocky) $SUDO $PACKAGE_MANAGER -y install kernel-devel kernel-headers ;;
centos|rhel|amzn) $SUDO $PACKAGE_MANAGER -y install kernel-devel-$KERNEL_RELEASE kernel-headers-$KERNEL_RELEASE ;;
fedora) $SUDO $PACKAGE_MANAGER -y install kernel-devel-$KERNEL_RELEASE ;;
debian|ubuntu) $SUDO apt-get -y install linux-headers-$KERNEL_RELEASE ;;
*) exit ;;
esac
NVIDIA_CUDA_VERSION=$($SUDO dkms status | awk -F: '/added/ { print $1 }')
if [ -n "$NVIDIA_CUDA_VERSION" ]; then
$SUDO dkms install $NVIDIA_CUDA_VERSION
fi
if lsmod | grep -q nouveau; then
status 'Reboot to complete NVIDIA CUDA driver install.'
exit 0
fi
$SUDO modprobe nvidia
$SUDO modprobe nvidia_uvm
fi
# make sure the NVIDIA modules are loaded on boot with nvidia-persistenced
if available nvidia-persistenced; then
$SUDO touch /etc/modules-load.d/nvidia.conf
MODULES="nvidia nvidia-uvm"
for MODULE in $MODULES; do
if ! grep -qxF "$MODULE" /etc/modules-load.d/nvidia.conf; then
echo "$MODULE" | $SUDO tee -a /etc/modules-load.d/nvidia.conf > /dev/null
fi
done
fi
status "NVIDIA GPU ready."
install_success
}
main本博客所有文章除特别声明外，均采用 CC BY-NC-SA 4.0 许可协议。转载请注明来源 Forever Study！
评论