Docker container for running virtual machines using QEMU.
Web-based viewer to control the machine directly from your browser
Supports .iso, .img, .qcow2, .vhd, .vhdx, .vdi, .vmdk and .raw disk formats
High-performance options (like KVM acceleration, kernel-mode networking, IO threading, etc.) to achieve near-native speed
Via Docker Compose:
services: qemu: container_name: qemu image: qemux/qemu-docker environment: BOOT: "https://dl-cdn.alpinelinux.org/alpine/v3.19/releases/x86_64/alpine-virt-3.19.1-x86_64.iso" devices: - /dev/kvm cap_add: - NET_ADMIN ports: - 8006:8006 stop_grace_period: 2m
Via Docker CLI:
docker run -it --rm -e "BOOT=http://example.com/image.iso" -p 8006:8006 --device=/dev/kvm --cap-add NET_ADMIN qemux/qemu-docker
Via Kubernetes:
kubectl apply -f kubernetes.yml
Very simple! These are the steps:
Set the BOOT environment variable to the URL of any disk image you want to install.
Start the container and connect to port 8006 using your web browser.
You will see the screen and can now install the OS of your choice using your keyboard and mouse.
Enjoy your brand new machine, and don't forget to star this repo!
To change the storage location, include the following bind mount in your compose file:
volumes: - /var/qemu:/storage
Replace the example path /var/qemu with the desired storage folder.
To expand the default size of 16 GB, add the DISK_SIZE setting to your compose file and set it to your preferred capacity:
environment: DISK_SIZE: "128G"
[!TIP] This can also be used to resize the existing disk to a larger capacity without any data loss.
You can use a local image file directly, and skip the download altogether, by binding it in your compose file:
volumes: - /home/user/example.iso:/boot.iso
This way you can supply a boot.iso, boot.img or boot.qcow2 file.
[!NOTE] The URL of the
BOOTvariable will be ignored in this case.
You can use qemu-arm to run ARM64-based images.
Use dockur/windows instead, as it includes all the drivers required during installation, amongst many other features.
Use dockur/macos instead, as it uses all the right settings and automaticly downloads the installation files.
By default, the machine makes use of virtio-scsi drives for performance reasons, and even though most Linux kernels bundle the necessary driver for this device, that may not always be the case for other operating systems.
If your machine fails to detect the hard drive, you can modify your compose file to use virtio-blk instead:
environment: DISK_TYPE: "blk"
[!TIP] If it still fails to boot, you can set the value to
ideto emulate a IDE drive, which is slow but requires no drivers and is compatible with almost every system.
By default, the container will be allowed to use a maximum of 1 CPU core and 1 GB of RAM.
If you want to adjust this, you can specify the desired amount using the following environment variables:
environment: RAM_SIZE: "4G" CPU_CORES: "4"
To verify that your system supports KVM, run the following commands:
sudo apt install cpu-checker sudo kvm-ok
If you receive an error from kvm-ok indicating that KVM acceleration can't be used, please check whether:
the virtualization extensions (Intel VT-x or AMD SVM) are enabled in your BIOS.
you are running an operating system that supports them, like Linux or Windows 11 (macOS and Windows 10 do not unfortunately).
you enabled "nested virtualization" if you are running the container inside a virtual machine.
you are not using a cloud provider, as most of them do not allow nested virtualization for their VPS's.
If you didn't receive any error from kvm-ok at all, but the container still complains that /dev/kvm is missing, it might help to add privileged: true to your compose file (or --privileged to your run command), to rule out any permission issue.
By default, the container uses bridge networking, which shares the IP address with the host.
If you want to assign an individual IP address to the container, you can create a macvlan network as follows:
docker network create -d macvlan \ --subnet=192.168.0.0/24 \ --gateway=192.168.0.1 \ --ip-range=192.168.0.100/28 \ -o parent=eth0 vlan
Be sure to modify these values to match your local subnet.
Once you have created the network, change your compose file to look as follows:
services: qemu: container_name: qemu ..<snip>.. networks: vlan: ipv4_address: 192.168.0.100 networks: vlan: external: true
An added benefit of this approach is that you won't have to perform any port mapping anymore, since all ports will be exposed by default.
[!IMPORTANT] This IP address won't be accessible from the Docker host due to the design of macvlan, which doesn't permit communication between the two. If this is a concern, you need to create a second macvlan as a workaround.
After configuring the container for macvlan, it is possible for the VM to become part of your home network by requesting an IP from your router, just like a real PC.
To enable this mode, add the following lines to your compose file:
environment: DHCP: "Y" devices: - /dev/vhost-net device_cgroup_rules: - 'c *:* rwm'
[!NOTE] In this mode, the container and the VM will each have their own separate IPs.
To create additional disks, modify your compose file like this:
environment: DISK2_SIZE: "32G" DISK3_SIZE: "64G" volumes: - /home/example:/storage2 - /mnt/data/example:/storage3
It is possible to pass-through disk devices directly by adding them to your compose file in this way:
devices: - /dev/sdb:/disk1 - /dev/sdc:/disk2
Use /disk1 if you want it to become your main drive, and use /disk2 and higher to add them as secondary drives.
To pass-through a USB device, first lookup its vendor and product id via the lsusb command, then add them to your compose file like this:
environment: ARGUMENTS: "-device usb-host,vendorid=0x1234,productid=0x1234" devices: - /dev/bus/usb
You can create the ARGUMENTS environment variable to provide additional arguments to QEMU at runtime:
environment: ARGUMENTS: "-device usb-tablet"
The BOOT URL accepts files in any of the following formats:
| Extension | Format |
|---|---|
.img | Raw |
.raw | Raw |
.iso | Optical |
.qcow2 | QEMU |
.vmdk | VMware |
.vhd | VirtualPC |
.vhdx | Hyper-V |
.vdi | VirtualBox |
[!TIP] It will also accept
.img.gz,.qcow2.xz,.iso.zipand many more, as it automaticly extracts compressed files.


企业专属的AI法律顾问
iTerms是法大大集团旗下法律子品牌,基于最先进的大语言模型(LLM)、专业的法律知识库和强大的智能体架构,帮助企业扫清合规障碍,筑牢风控防线,成为您企业专属的AI法律顾问。


稳定高效的流量提升解决方案,助力品牌曝光
稳定高效的流量提升解决方案,助力品牌曝光


最新版Sora2模型免费使用, 一键生成无水印视频
最新版Sora2模型免费使用,一键生成无水印视频


实时语音翻译/同声传译工具
Transly是一个多场景的AI大语言模型驱动的同声传译、专业翻译助手,它拥有超精准的音频识别翻译能力,几乎零延迟的使用体验和支持多国语言可以让你带它走遍全球,无论你是留学生、商务人士、韩剧美剧爱好者,还是出国游玩、多国会议、跨国追星等等,都可以满足你所有需要同传的场景需求,线上线下通用,扫除语言障碍,让全世界的语言交流不再有国界。


选题、配图、成文,一站式创作,让内容运营更高效
讯飞绘文,一个AI集成平台,支持写作、选题、配图、排版和发布。高效生成适用于各类媒体的定制内容,加速品牌传播,提升内容营销效果。


AI辅助编程,代码自动修复
Trae是一种自适应的集成开发环境(IDE),通过自动化和多元协作改变开发流程。利用Trae,团队能够更快速、精确地编写和部署代码,从而提高编程效率和项目交付速度。Trae具备上下文感知和代码自动完成功能,是提升开发效率的理想工具。


最强AI数据分析助手
小浣熊家族Raccoon,您的AI智能助手,致力于通过先进的人工智能技术,为用户提供高效、便捷的智能服务。无论是日常咨询还是专业问题解答,小浣熊都能以快速、准确的响应满足您的需求,让您的生活更加智能便捷。


像人一样思考的AI智能体
imini 是一款超级AI智能体,能根据人类指令,自主思考、自主完成、并且交付结果的AI智能体。


AI数字人视频创作平台
Keevx 一款开箱即用的AI数字人视频创作平台,广泛适用于电商广告、企业培训与社媒宣传,让全球企业与个人创作者无需拍摄剪辑,就能快速生成多语言、高质量的专业视频。


一站式AI创作平台
提供 AI 驱动的图片、视频生成及数字人等功能,助力创意创作