在docker PVE中使用nVIDIA vGPU
前言
众所周知,PVE的一大乐趣就是拿着nVidia显卡开vGPU
docker PVE自然也是具备开vGPU的能力
没有GPU加速的虚拟机感觉鼠标移动都是卡的
本篇实际上是以下两篇文章的补充,在阅读本文前请先阅读下面两文
在飞牛私有云fnOS公测版中使用docker跑PVE
以PVE作为宿主机,在fnOS使用vGPU
本文不构成医疗建议,不构成任何投资建议,也不作为任何法律法规、监管政策的依据。
折腾有风险,操作需谨慎。
环境配置
示例环境说明
本次示例使用的系统是基于Debian12的fnOS 0.8.20
内核版本:Linux fnOS 6.6.38-trim #34 SMP PREEMPT_DYNAMIC Wed Sep 25 16:22:17 CST 2024 x86_64 GNU/Linux
nVidia显卡是NVIDIA GeForce RTX 2080 Ti
CPU是Intel(R) Core(TM) i9-9900KS CPU @ 4.00GHz
bios中开启虚拟化与IOMMU
本文虽然是以fnOS作为例子
但只要配置好宿主机驱动、iommu等配置
是可以在其他系统上(如x86_64的openwrt)重现该操作的
如果你使用的是其他系统,请根据实际情况自行调整
vfio
使用如下命令将配置写入/etc/modules
即可
- echo -e "vfio\nvfio_iommu_type1\nvfio_pci\nvfio_virqfd" >> /etc/modules
grub中加入iommu相关参数
本例中使用的内核未默认开启iommu,需要自行配置内核的cmdline以启用该特性
使用如下命令打开vim编辑器
- vim /etc/default/grub
在GRUB_CMDLINE_LINUX_DEFAULT
加入intel_iommu=on iommu=pt
就像下面这样
- GRUB_CMDLINE_LINUX_DEFAULT="quiet i915.force_probe=7d55 intel_iommu=on iommu=pt spectre_v2=off"
如果你的系统使用的不是grub引导,请根据实际情况选择其他方案
systemd-boot需要修改/etc/kernel/cmdline
如果你使用的是AMD平台,请将开启iommu的参数修改为对应平台的
更新grub
让妙妙屋出现我们必须要念奇妙的咒语
在终端输入并执行以下命令
- update-grub && update-initramfs -u -k all && reboot
等待更新grub与重启
重启后验证内核cmdline
使用如下命令检查内核cmdline
- cat /proc/cmdline
如果你的回显像下面这样,有出现intel_iommu=on iommu=pt
说明内核cmdline修改成功
- root@fnOS:~# cat /proc/cmdline
- BOOT_IMAGE=/boot/vmlinuz-6.6.38-trim root=UUID=800335a8-8496-44a9-ba84-1df17424f553 ro modprobe.blacklist=pcspkr quiet i915.force_probe=7d55 intel_iommu=on iommu=pt spectre_v2=off
载入nVidia vGPU驱动
首先需要按如下文章,配置好nVidia驱动
才能继续接下来的操作
加载nvidia-vgpu-vfio.ko
使用如下命令,加载模块即可
- modprobe vfio-pci
- modprobe vfio
- modprobe mdev
- insmod /usr/games/6.6.38-trim_nvidia/nvidia-vgpu-vfio.ko
重载vGPU服务
使用如下命令,重载vGPU相关服务
- mkdir -p /etc/vgpu_unlock
- echo '' >> /etc/vgpu_unlock/profile_override.toml
- systemctl restart {nvidia-vgpud.service,nvidia-vgpu-mgr.service}
- systemctl status {nvidia-vgpud.service,nvidia-vgpu-mgr.service}
systemctl status的回显大概会像下面这样
- root@fnOS:~# systemctl status {nvidia-vgpud.service,nvidia-vgpu-mgr.service}
- ○ nvidia-vgpud.service - NVIDIA vGPU Daemon
- Loaded: loaded (/lib/systemd/system/nvidia-vgpud.service; enabled; preset: enabled)
- Active: inactive (dead) since Thu 2024-10-11 00:01:32 CST; 1s ago
- Process: 470457 ExecStart=/usr/bin/nvidia-vgpud (code=exited, status=0/SUCCESS)
- Main PID: 470457 (code=exited, status=0/SUCCESS)
- CPU: 160ms
-
- Oct 10 19:26:32 fnOS nvidia-vgpud[470457]: Encoder Capacity: 0x64
- Oct 10 19:26:32 fnOS nvidia-vgpud[470457]: BAR1 Length: 0x100
- Oct 10 19:26:32 fnOS nvidia-vgpud[470457]: Frame Rate Limiter enabled: 0x1
- Oct 10 19:26:32 fnOS nvidia-vgpud[470457]: Number of Displays: 1
- Oct 10 19:26:32 fnOS nvidia-vgpud[470457]: Max pixels: 1310720
- Oct 10 19:26:32 fnOS nvidia-vgpud[470457]: Display: width 1280, height 1024
- Oct 10 19:26:32 fnOS nvidia-vgpud[470457]: Multi-vGPU Exclusive supported: 0x1
- Oct 10 19:26:32 fnOS nvidia-vgpud[470457]: License: GRID-Virtual-Apps,3.0
- Oct 10 19:26:32 fnOS systemd[1]: nvidia-vgpud.service: Deactivated successfully.
- Oct 10 19:26:32 fnOS systemd[1]: Finished nvidia-vgpud.service - NVIDIA vGPU Daemon.
-
- ● nvidia-vgpu-mgr.service - NVIDIA vGPU Manager Daemon
- Loaded: loaded (/lib/systemd/system/nvidia-vgpu-mgr.service; enabled; preset: enabled)
- Active: active (running) since Thu 2024-10-11 00:01:32 CST; 1s ago
- Process: 470458 ExecStart=/usr/bin/nvidia-vgpu-mgr (code=exited, status=0/SUCCESS)
- Tasks: 7 (limit: 38293)
- Memory: 54.0M
- CPU: 10ms
- CGroup: /system.slice/nvidia-vgpu-mgr.service
- ├─357369 vgpu
- ├─469518 /usr/bin/nvidia-vgpu-mgr
- └─470460 /usr/bin/nvidia-vgpu-mgr
-
- Oct 10 19:26:32 fnOS nvidia-vgpu-mgr[470460]: NvA081CtrlVgpuConfigGetVgpuTypeInfoParams: NvA081CtrlVgpuConfigGetVgpuTypeInfoParams {
- vgpu_type: 442,
- vgpu_type_info: NvA081CtrlVgpuInfo {
- vgpu_type: 442,
- vgpu_name: "GRID RTX6000-8A",
- vgpu_class: "NVS",
- vgpu_signature: [],
- license: "GRID-Virtual-Apps,3.0",
- max_instance: 3,
- num_heads: 1,
- max_resolution_x: 1280,
- max_resolution_y: 1024,
- max_pixels: 1310720,
- frl_config: 60,
- cuda_enabled: 0,
- ecc_supported: 0,
- gpu_instance_size: 0,
- multi_vgpu_supported: 0,
- vdev_id: 0x1e30143e,
- pdev_id: 0x1e30,
- profile_size: 0x200000000,
- fb_length: 0x1dc000000,
- gsp_heap_size: 0x0,
- fb_reservation: 0x24000000,
- mappable_video_size: 0x400000,
- encoder_capacity: 0x64,
- bar1_length: 0x100,
- frl_enable: 1,
- adapter_name: "GRID RTX6000-8A",
- adapter_name_unicode: "GRID RTX6000-8A",
- short_gpu_name_string: "TU102-A",
- licensed_product_name: "NVIDIA Virtual Applications",
- vgpu_extra_params: [],
- ftrace_enable: 0,
- gpu_direct_supported: 0,
- nvlink_p2p_supported: 0,
- multi_vgpu_exclusive: 1,
- exclusive_type: 0,
- exclusive_size: 1,
- gpu_instance_profile_id: 4294967295,
- },
- }
列出mdev类型
首先使用apt安装mdevctl
- apt update && apt install mdevctl -y
随后使用下面这个命令,查看可以创建的mdev类型
- mdevctl types
以下这个例子仅供参考
- root@fnOS:~# mdevctl types
- 0000:01:00.0
- nvidia-256
- Available instances: 23
- Device API: vfio-pci
- Name: GRID RTX6000-1Q
- Description: num_heads=4, frl_config=60, framebuffer=1024M, max_resolution=5120x2880, max_instance=24
- nvidia-257
- Available instances: 0
- Device API: vfio-pci
- Name: GRID RTX6000-2Q
- Description: num_heads=4, frl_config=60, framebuffer=2048M, max_resolution=7680x4320, max_instance=12
- nvidia-258
- Available instances: 0
- Device API: vfio-pci
- Name: GRID RTX6000-3Q
- Description: num_heads=4, frl_config=60, framebuffer=3072M, max_resolution=7680x4320, max_instance=8
- nvidia-259
- Available instances: 0
- Device API: vfio-pci
- Name: GRID RTX6000-4Q
- Description: num_heads=4, frl_config=60, framebuffer=4096M, max_resolution=7680x4320, max_instance=6
docker PVE启动!
docker PVE相关详细内容可以参考这篇文章
创建持久化目录
本次的例子是在/vol1/1000/pve/目录下分别创建两个文件夹
用于存放虚拟机配置与虚拟机磁盘文件
具体文件夹如图所示
/vol1/1000/pve/pve-cluster
/vol1/1000/pve/vz
docker-compose部署docker PVE
本文提供的yaml有许多冗余部分,使用时可以自行删减
如果要使用与我不一样的持久化目录,请自行修改
使用如下的yaml
- services:
- pve:
- image: makedie/proxmox_ve:8.2.7
- container_name: pve-8.2.7
- tty: true
- environment:
- root_password: "root"
- devices:
- - /dev/dri
- - /dev/fuse
- - /dev/kvm
- #- /dev/vfio
- - /dev/nvidia0
- - /dev/nvidiactl
- - /dev/nvidia-uvm
- - /dev/nvidia-uvm-tools
- - /dev/nvidia-vgpu1
- cap_add:
- - SYS_ADMIN
- - NET_ADMIN
- ports:
- - 8006:8006
- volumes:
- #- /sys/fs/cgroup:/sys/fs/cgroup:ro
- #- /sys/fs/cgroup/systemd:/sys/fs/cgroup/systemd
- - /sys/fs/fuse:/sys/fs/fuse
- - /vol1/1000/pve/pve-cluster:/var/lib/pve-cluster
- - /vol1/1000/pve/vz:/var/lib/vz
- - /dev/vfio:/dev/vfio
- tmpfs:
- - /tmp
- - /var/run
- - /var/cache
- - /run/lock
- extra_hosts:
- - "shop.maurer-it.com:127.0.0.1"
- hostname: pve
- stop_grace_period: 2m
- privileged: true
点击完成后,等待容器创建运行
此图是后截的,图中的资源占用是已经在运行虚拟机的情况
查看容器详细信息,可以看见一些compose内配置的参数
配置虚拟机
准备好一个可用的虚拟机
此步骤略去,与正常PVE安装系统并无区别
直通mdev设备
与正常PVE一样,在添加PCI设备处选择nVidia显卡
随后选择mdev类型
配置完成后如图所示,点击添加即可
启动虚拟机
正常使用PVE,启动虚拟机并打上对应的guest驱动即可
nvidia-smi查看信息
使用命令在终端查看,可见vGPU与fnOS的转码任务同时运行
- root@fnOS:~# uname -a && nvidia-smi && nvidia-smi vgpu
- Linux fnOS 6.6.38-trim #34 SMP PREEMPT_DYNAMIC Wed Sep 25 16:22:17 CST 2024 x86_64 GNU/Linux
- Thu Oct 11 00:16:54 2024
- +-----------------------------------------------------------------------------------------+
- | NVIDIA-SMI 550.90.07 Driver Version: 550.90.07 CUDA Version: 12.4 |
- |-----------------------------------------+------------------------+----------------------+
- | GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC |
- | Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. |
- | | | MIG M. |
- |=========================================+========================+======================|
- | 0 NVIDIA GeForce RTX 2080 Ti On | 00000000:01:00.0 Off | N/A |
- | 0% 33C P2 73W / 300W | 1832MiB / 11264MiB | 0% Default |
- | | | N/A |
- +-----------------------------------------+------------------------+----------------------+
-
- +-----------------------------------------------------------------------------------------+
- | Processes: |
- | GPU GI CI PID Type Process name GPU Memory |
- | ID ID Usage |
- |=========================================================================================|
- | 0 N/A N/A 31095 C+G vgpu 1012MiB |
- | 0 N/A N/A 332351 C /usr/trim/bin/mediasrv 816MiB |
- +-----------------------------------------------------------------------------------------+
- Thu Oct 11 00:16:54 2024
- +-----------------------------------------------------------------------------+
- | NVIDIA-SMI 550.90.07 Driver Version: 550.90.07 |
- |---------------------------------+------------------------------+------------+
- | GPU Name | Bus-Id | GPU-Util |
- | vGPU ID Name | VM ID VM Name | vGPU-Util |
- |=================================+==============================+============|
- | 0 NVIDIA GeForce RTX 208... | 00000000:01:00.0 | 0% |
- | 3251634248 GRID RTX600... | c269... windows10,debug-... | 0% |
- +---------------------------------+------------------------------+------------+
持久化
编辑/usr/games/6.6.38-trim_nvidia/load-nv-grid.sh
加入新增的几行即可
- root@fnOS:~# cat /usr/games/6.6.38-trim_nvidia/load-nv-grid.sh
- #!/bin/bash
- modprobe video
- modprobe drm
- modprobe drm_kms_helper
- insmod /usr/games/6.6.38-trim_nvidia/nvidia.ko
- insmod /usr/games/6.6.38-trim_nvidia/nvidia-uvm.ko
- insmod /usr/games/6.6.38-trim_nvidia/nvidia-modeset.ko
- insmod /usr/games/6.6.38-trim_nvidia/nvidia-drm.ko
- modprobe vfio-pci
- modprobe vfio
- modprobe mdev
- nvidia-smi -pm 1
- insmod /usr/games/6.6.38-trim_nvidia/nvidia-vgpu-vfio.ko
- systemctl restart nvidia-gridd
- systemctl restart {nvidia-vgpud.service,nvidia-vgpu-mgr.service}
结束语
还是PVE好用,希望fnOS后面做的虚拟机也能跟PVE一样好用吧
不过我看一时半会他们那虚拟机这大招是憋不出来了
开虚拟机还得是靠自己
作者:Intel
链接:https://foxi.buduanwang.vip/virtualization/pve/3354.html/
文章版权归作者所有,未经允许请勿转载
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前言
环境配置
示例环境说明
vfio
grub中加入iommu相关参数
更新grub
重启后验证内核cmdline
载入nVidia vGPU驱动
加载nvidia-vgpu-vfio.ko
重载vGPU服务
列出mdev类型
docker PVE启动!
创建持久化目录
docker-compose部署docker PVE
配置虚拟机
准备好一个可用的虚拟机
直通mdev设备
启动虚拟机
nvidia-smi查看信息
持久化
结束语
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