Using cloud vGPUs: Difference between revisions
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Once the VM is available, make sure to update the OS to the latest available software, including the kernel. Then, reboot the VM to have the latest kernel running. | Once the VM is available, make sure to update the OS to the latest available software, including the kernel. Then, reboot the VM to have the latest kernel running. | ||
To have access to the [https://en.wikipedia.org/wiki/Dynamic_Kernel_Module_Support DKMS package], the [https://dl.fedoraproject.org/pub/epel EPEL repository] is required. | To have access to the [https://en.wikipedia.org/wiki/Dynamic_Kernel_Module_Support DKMS package], the [https://dl.fedoraproject.org/pub/epel/epel-release-latest-7.noarch.rpm EPEL repository] is required. | ||
<pre> | <pre> | ||
[root@vgpu almalinux]# dnf -y update && dnf -y install epel-release && reboot | [root@vgpu almalinux]# dnf -y update && dnf -y install epel-release && reboot | ||
Revision as of 20:44, 21 May 2024
This page describes how to
- allocate virtual GPU (vGPU) resources to a virtual machine (VM),
- install the necessary drivers and
- check whether the vGPU can be used.
Access to repositories as well as to the vGPUs is currently only available within Arbutus Cloud. Please note that the documentation below only covers the vGPU driver installation. The CUDA toolkit is not pre-installed but you can install it directly from NVIDIA or load it from the CVMFS software stack. If you choose to install the toolkit directly from NVIDIA, please ensure that the vGPU driver is not overwritten with the one from the CUDA package.
Supported flavors
To use a vGPU within a VM, the instance needs to be deployed on one of the flavors listed below. The vGPU will be available to the operating system via the PCI bus.
- g1-8gb-c4-22gb
- g1-16gb-c8-40gb
Preparation of a VM running CentOS7
Once the VM is available, make sure to update the OS to the latest available software, including the kernel. Then reboot the VM to have the latest kernel running.
[root@centos7]# yum -y update && reboot
Since the proprietary NVIDIA drivers need to be compiled against the running kernel, the DKMS package is required from the EPEL repository.
[root@centos7]# yum -y install epel-release
Install the Arbutus Cloud repository. This also installs the public key the packages are signed with, to ensure their authenticity. These drivers and user-space tools are carefully tested against the infrastructure before they are made available.
[root@centos7]# yum -y install http://repo.arbutus.cloud.computecanada.ca/pulp/repos/centos/7/x86_64/Packages/a/arbutus-cloud-vgpu-repo-1.1-1.el7.noarch.rpm
The last step is to install the NVIDIA vGPU packages.
The kernel module package nvidia-vgpu-kmod will take a few minutes as it compiles the required kernel modules in the background.
[root@centos7]# yum -y install nvidia-vgpu-kmod nvidia-vgpu-gridd nvidia-vgpu-tools
If your installation was successful, the vGPU will be accessible and licensed.
Test this by running nvidia-smi:
[root@centos7]# nvidia-smi
Tue Sep 21 17:40:33 2021
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 460.91.03 Driver Version: 460.91.03 CUDA Version: 11.2 |
|-------------------------------+----------------------+----------------------+
| 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 GRID V100D-8C On | 00000000:00:05.0 Off | N/A |
| N/A N/A P0 N/A / N/A | 560MiB / 8192MiB | 0% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=============================================================================|
| No running processes found |
+-----------------------------------------------------------------------------+
To check for the license status as well as other information about the vGPU:
[root@centos7]# nvidia-smi -q |less
==============NVSMI LOG==============
Timestamp : Tue Sep 21 17:41:48 2021
Driver Version : 460.91.03
CUDA Version : 11.2
Attached GPUs : 1
GPU 00000000:00:05.0
Product Name : GRID V100D-8C
Product Brand : NVIDIA Virtual Compute Server
Display Mode : Enabled
Display Active : Disabled
Persistence Mode : Enabled
MIG Mode
Current : N/A
Pending : N/A
Accounting Mode : Disabled
Accounting Mode Buffer Size : 4000
Driver Model
Current : N/A
Pending : N/A
Serial Number : N/A
GPU UUID : GPU-c6d5d6c1-1b00-11ec-b031-a89a79e5169c
Minor Number : 0
VBIOS Version : 00.00.00.00.00
MultiGPU Board : No
Board ID : 0x5
GPU Part Number : N/A
Inforom Version
Image Version : N/A
OEM Object : N/A
ECC Object : N/A
Power Management Object : N/A
GPU Operation Mode
Current : N/A
Pending : N/A
GPU Virtualization Mode
Virtualization Mode : VGPU
Host VGPU Mode : N/A
vGPU Software Licensed Product
Product Name : NVIDIA Virtual Compute Server
License Status : Licensed
IBMNPU
Relaxed Ordering Mode : N/A
PCI
Bus : 0x00
Device : 0x05
Domain : 0x0000
Device Id : 0x1DB610DE
Bus Id : 00000000:00:05.0
Preparation of a VM running Almalinux8
Once the VM is available, make sure to update the OS to the latest available software, including the kernel. Then, reboot the VM to have the latest kernel running. To have access to the DKMS package, the EPEL repository is required.
[root@vgpu almalinux]# dnf -y update && dnf -y install epel-release && reboot
After the reboot of the VM, the Arbutus Cloud repository needs to be installed.
[root@almalinux8]# dnf install http://repo.arbutus.cloud.computecanada.ca/pulp/repos/centos/8/x86_64/Packages/a/arbutus-cloud-vgpu-repo-1.2-1.el8.noarch.rpm
The next step is to install the vGPU packages, which will install the required driver and user-space tools.
[root@vgpu almalinux]# dnf -y install nvidia-vgpu-gridd.x86_64 nvidia-vgpu-tools.x86_64 nvidia-vgpu-kmod.x86_64
After a successful installation, nvidia-smi can be used to verify the proper functionality.
[root@almalinux8]# nvidia-smi
Wed Apr 5 15:07:23 2023
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 470.182.03 Driver Version: 470.182.03 CUDA Version: 11.4 |
|-------------------------------+----------------------+----------------------+
| 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 GRID V100D-8C On | 00000000:00:06.0 Off | 0 |
| N/A N/A P0 N/A / N/A | 560MiB / 8192MiB | 0% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=============================================================================|
| No running processes found |
+-----------------------------------------------------------------------------+
Preparation of a VM running Debian10
Ensure that the latest packages are installed and the system has been booted with the latest stable kernel, as DKMS will request the latest one available from the Debian repositories.
root@debian10:~# apt-get update && apt-get -y dist-upgrade && reboot
After a successful reboot, the system should have the latest available kernel running and the repository can be installed, by installing the arbutus-cloud-repo package.
This package also contains the gpg key all packages are signed with.
root@debian10:~# apt-get -y install gnupg root@debian10:~# wget http://repo.arbutus.cloud.computecanada.ca/pulp/deb/debian/pool/main/arbutus-cloud-repo_0.3_all.deb root@debian10:~# dpkg -i arbutus-cloud-repo_0.3_all.deb
The installation of the package will display a warning, since the key is directly imported (for convenience) via the package's post-installation procedure.
Setting up arbutus-cloud-repo (0.1) ... Warning: apt-key should not be used in scripts (called from postinst maintainerscript of the package arbutus-cloud-repo) OK
Update the local apt cache and install the vGPU packages:
root@debian10:~# apt-get update && apt-get -y install nvidia-vgpu-kmod nvidia-vgpu-tools nvidia-vgpu-gridd
If your installation was successful, the vGPU will be accessible and licensed.
Test this by running nvidia-smi as shown above for CentOS7.
Preparation of a VM running Debian11
Ensure that the latest packages are installed and the system has been booted with the latest stable kernel, as DKMS will request the latest one available from the Debian repositories.
root@debian11:~# apt-get update && apt-get -y dist-upgrade && reboot
After a successful reboot, the system should have the latest available kernel running and the repository can be installed, by installing the arbutus-cloud-repo package.
This package also contains the gpg key all packages are signed with.
root@debian11:~# wget http://repo.arbutus.cloud.computecanada.ca/pulp/deb/debian11/pool/main/arbutus-cloud-repo_0.2_all.deb root@debian11:~# apt-get install -y ./arbutus-cloud-repo_0.2_all.deb
Update the local apt cache and install the vGPU packages:
root@debian11:~# apt-get update && apt-get -y install nvidia-vgpu-kmod nvidia-vgpu-tools nvidia-vgpu-gridd
Preparation of a VM running Ubuntu22
Ensure that the OS is up to date, that all the latest patches are installed, and that the latest stable kernel is running.
root@ubuntu22:~# apt-get update && apt-get -y dist-upgrade && reboot
After a successful reboot, the system should have the latest available kernel running.
Now the repository can be installed by installing the arbutus-cloud-repo package.
This package also contains the gpg key all packages are signed with.
root@ubuntu22:~# wget http://repo.arbutus.cloud.computecanada.ca/pulp/deb/ubuntu22/pool/main/arbutus-cloud-repo_0.2_all.deb root@ubuntu22:~# dpkg -i arbutus-cloud-repo_0.2_all.deb
A warning will be displayed since the signature key is added in the post-install stage; this warning can be ignored. Update the local apt cache and install the vGPU packages:
root@ubuntu22:~# apt-get update && apt-get -y install nvidia-vgpu-kmod nvidia-vgpu-tools nvidia-vgpu-gridd
If your installation was successful, the vGPU will be accessible and licensed.
Test this by running nvidia-smi as shown above for CentOS7.
Preparation of a VM running Ubuntu20
Ensure that the OS is up to date, that all the latest patches are installed, and that the latest stable kernel is running.
root@ubuntu20:~# apt-get update && apt-get -y dist-upgrade && reboot
After a successful reboot, the system should have the latest available kernel running.
Now the repository can be installed by installing the arbutus-cloud-repo package.
This package also contains the gpg key all packages are signed with.
root@ubuntu20:~# wget http://repo.arbutus.cloud.computecanada.ca/pulp/deb/ubuntu/pool/main/arbutus-cloud-repo_0.2ubuntu20_all.deb root@ubuntu20:~# dpkg -i arbutus-cloud-repo_0.2ubuntu20_all.deb
A warning will be displayed since the signature key is added in the post-install stage; this warning can be ignored. Update the local apt cache and install the vGPU packages:
root@ubuntu20:~# apt-get update && apt-get -y install nvidia-vgpu-kmod nvidia-vgpu-tools nvidia-vgpu-gridd
If your installation was successful, the vGPU will be accessible and licensed.
Test this by running nvidia-smi as shown above for CentOS7.