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在云中使用GPU

这是一个示例工作流程，说明如何使用云中的 GPU，通过 EC2 实例渲染你的视频。

🌐 Here is an example workflow for how to use the GPU in the cloud to render your videos using EC2 instances.

更新 Remotion​

🌐 Update Remotion

确保你使用的是 Remotion v4.0.248 或更高版本，以使本指南有效。

🌐 Ensure you are using Remotion v4.0.248 or later for this guide to work.

启动一个 EC2 实例​

🌐 Launch an EC2 instance

1
 确保你被允许使用 GPU

你可能需要向AWS申请提高GPU数量的使用限制。 你可以在AWS控制台里实现这一点。 访问“服务配额” -> “AWS 服务” -> “亚马逊弹性计算云（Amazon EC2）” -> “按需运行 G 和 VT 实例” -> “账户层请求增加”。 你也可以点击[这里]（https://us-east-1.console.aws.amazon.com/servicequotas/home/services/ec2/quotas/L-DB2E81BA）直接进入“us-east-1”区域的页面。

🌐 You might need to ask AWS for a limit increase for the number of GPUs you can use.
You can do this in the AWS console.
Go to "Service Quotas" -> "AWS Services" -> "Amazon Elastic Compute Cloud (Amazon EC2)" -> "Running On-Demand G and VT instances" -> "Request increase at account-level".
You may also click here to go to the page directly for the us-east-1 region.

2
 启动一个 EC2 实例

点击此处在 us-east-1 上启动 EC2 实例。

选择“浏览更多 AMI”，搜索 ami-06a1f46caddb5669e，选择“社区 AMI”选项卡并选择具有正确 AMI (ubuntu/images/hvm-ssd/ubuntu-jammy-22.04-amd64-server-20230608) 的镜像。

🌐 Select "Browse more AMIs", search for ami-06a1f46caddb5669e, select the "Community AMIs" tab and select the image with the right AMI (ubuntu/images/hvm-ssd/ubuntu-jammy-22.04-amd64-server-20230608).

note

搜索可能需要长达30秒才能找到AMI，并且它不是第一个结果。

我们推荐 g4dn.xlarge 尺寸 - 请注意，此实例的默认配置每月费用为 $375。 如果你收到“订阅 AMI 正在花费比预期更长的时间”的信息，这是正常的。你可能需要等待几分钟。

🌐 We recommend the g4dn.xlarge size - note that this instance costs $375 per month with the default configuration.
If you get a message "Subscribing to AMI is taking longer than expected", it is normal. You may need to wait a few minutes.

3
 配置实例:

一旦你连接到实例，运行以下命令：

🌐 Once you connected to the instance, run the following commands:

Upgrade the Linux Kernel to v6
sudo bash -c "apt update && export DEBIAN_FRONTEND=noninteractive && export NEEDRESTART_MODE=a && apt upgrade -y && reboot"

该实例将重启，因此会断开连接。请稍等片刻，然后重新连接。

🌐 The instance will restart and therefore disconnect. Wait a few moments and then reconnect.

为 Remotion 安装 Linux 依赖：

🌐 Install the Linux Dependencies for Remotion:

Install Linux Dependencies
sudo apt install -y \
  libnss3 \
  libdbus-1-3 \
  libatk1.0-0 \
  libasound2 \
  libxrandr2 \
  libxkbcommon-dev \
  libxfixes3 \
  libxcomposite1 \
  libxdamage1 \
  libcups2 \
  libgbm-dev \
  libpangocairo-1.0-0 \
  libatk-bridge2.0-0

安装 GPU 驱动程序：

🌐 Set up GPU drivers:

Install libvulkan
sudo apt install -y build-essential libvulkan1
Install GPU drivers
DRIVER_URL="https://us.download.nvidia.com/tesla/535.104.12/NVIDIA-Linux-x86_64-535.104.12.run"
DRIVER_NAME="NVIDIA-Linux-driver.run"
wget -O "$DRIVER_NAME" "$DRIVER_URL"
sudo sh "$DRIVER_NAME" --disable-nouveau --silent
rm "$DRIVER_NAME"
Configure startup service
echo '[Unit]
Description=Run nvidia-smi at system startup

[Service]
ExecStart=/usr/bin/nvidia-smi
Type=oneshot
RemainAfterExit=yes

[Install]
WantedBy=multi-user.target' | sudo tee /etc/systemd/system/nvidia-smi.service
sudo systemctl enable nvidia-smi.service
sudo systemctl start nvidia-smi.service
Install Node.js
sudo mkdir -p /etc/apt/keyrings
curl -fsSL https://deb.nodesource.com/gpgkey/nodesource-repo.gpg.key | sudo gpg --dearmor -o /etc/apt/keyrings/nodesource.gpg

NODE_MAJOR=20
echo "deb [signed-by=/etc/apt/keyrings/nodesource.gpg] https://deb.nodesource.com/node_$NODE_MAJOR.x nodistro main" | sudo tee /etc/apt/sources.list.d/nodesource.list

sudo apt-get update
sudo apt-get install nodejs -y

使用 GPU 渲染视频

Clone a Remotion GPU demo
git clone https://github.com/remotion-dev/gpu-scene
cd gpu-scene
npm i
npx remotion gpu --chrome-mode="chrome-for-testing" --gl=vulkan # Verify content is hardware accelerated
npx remotion render --chrome-mode="chrome-for-testing" --gl=vulkan # Render a test video

使用 --chrome-mode="chrome-for-testing" 时，Chrome 的一个版本会模拟显示器，从而可以使用 GPU。
使用 --gl=vulkan 时，Chrome 则使用正确的 OpenGL 渲染器。

🌐 With --chrome-mode="chrome-for-testing", a flavor of Chrome is used that emulates a display, which can make use of the GPU.
With --gl=vulkan, Chrome uses the right OpenGL renderer.

note

可能会出现诸如 vkCreateInstance() failed: -7 和 Failed to create and initialize Vulkan implementation. 的警告，然而，渲染速度应该会显著更快。

另请参阅​

🌐 See also

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