Using cloud vGPUs: Difference between revisions

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<languages />
<languages />
<translate>
<translate>
<!--T:2-->
 
<!--T:84-->
This page describes how to  
This page describes how to  
* allocate virtual GPU (vGPU) resources to a virtual machine (VM),  
* allocate virtual GPU (vGPU) resources to a virtual machine (VM),  
Line 9: Line 10:
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.
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 == <!--T:23-->
== Supported flavors == <!--T:85-->


<!--T:3-->
<!--T:3-->
Line 18: Line 19:
* g1-16gb-c8-40gb
* g1-16gb-c8-40gb


<!-- ============ UPDATE PREPARATION DO NOT PUBLISH YET! ========================== -->
== Preparation of a VM running AlmaLinux 9 == <!--T:86-->  
<!--
== Preparation of a VM running Almalinux9 == <!--T:76-->  


<!--T:77-->
<!--T:87-->
Once the VM is available, make sure to update the OS to the latest available software, including the kernel.
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.
Then, reboot the VM to have the latest kernel running.


<!--T:88-->
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.
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.


Almalinux9 has per default a faulty nouveau driver which crashes the kernel as soon as the nvidia driver is mounted, the VM needs a few extra steps to prevent
<!--T:89-->
the loading of the nouveau driver when the system boots.
AlmaLinux 9 has by default a faulty <code>nouveau</code> driver which crashes the kernel as soon as the <code>nvidia</code> driver is mounted.
The VM needs a few extra steps to prevent the loading of the nouveau driver when the system boots.


</translate>
<pre>
<pre>
[root@almalinux9]# echo -e "blacklist nouveau\noptions nouveau modeset=0" >/etc/modprobe.d/blacklist-nouveau.conf
[root@almalinux9]# echo -e "blacklist nouveau\noptions nouveau modeset=0" >/etc/modprobe.d/blacklist-nouveau.conf
Line 36: Line 38:
[root@almalinux9]# dnf -y update && dnf -y install epel-release && reboot
[root@almalinux9]# dnf -y update && dnf -y install epel-release && reboot
</pre>
</pre>
<translate>


<!--T:78-->
<!--T:90-->
After the reboot of the VM, the Arbutus vGPU Cloud repository needs to be installed.  
After the reboot of the VM, the Arbutus vGPU Cloud repository needs to be installed.  


<!--T:79-->
</translate>
<pre>
<pre>
[root@almalinux9]# dnf install http://repo.arbutus.cloud.computecanada.ca/pulp/repos/alma9/Packages/a/arbutus-cloud-vgpu-repo-1.0-1.el9.noarch.rpm</pre>
[root@almalinux9]# dnf install http://repo.arbutus.cloud.computecanada.ca/pulp/repos/alma9/Packages/a/arbutus-cloud-vgpu-repo-1.0-1.el9.noarch.rpm</pre>
<translate>


<!--T:80-->
<!--T:91-->
The next step is to install the vGPU packages, which will install the required driver and user-space tools.
The next step is to install the vGPU packages, which will install the required driver and user-space tools.


<!--T:81-->
</translate>
<pre>
<pre>
[root@almalinux9]# dnf -y install nvidia-vgpu-gridd.x86_64 nvidia-vgpu-tools.x86_64 nvidia-vgpu-kmod.x86_64
[root@almalinux9]# dnf -y install nvidia-vgpu-gridd.x86_64 nvidia-vgpu-tools.x86_64 nvidia-vgpu-kmod.x86_64
</pre>
</pre>
<translate>


<!--T:82-->
<!--T:92-->
After a successful  installation, <b>nvidia-smi</b> can be used to verify the proper functionality.
After a successful  installation, <code>nvidia-smi</code> can be used to verify the proper functionality.


<!--T:83-->
</translate>
<pre>
<pre>
[root@almalinux9]# nvidia-smi  
[root@almalinux9]# nvidia-smi  
Line 79: Line 84:
+-----------------------------------------------------------------------------------------+
+-----------------------------------------------------------------------------------------+
</pre>
</pre>
<translate>


-->
== Preparation of a VM running AlmaLinux 8 == <!--T:93-->  


== Preparation of a VM running CentOS7 == <!--T:5-->
<!--T:94-->
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 EPEL repository is required.


<!--T:24-->
</translate>
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.
<pre>
[root@centos7]# yum -y update && reboot
</pre>
 
<!--T:25-->
Since the  proprietary NVIDIA drivers need to be compiled against the running kernel, the [https://en.wikipedia.org/wiki/Dynamic_Kernel_Module_Support DKMS package] is required from the [https://dl.fedoraproject.org/pub/epel/epel-release-latest-7.noarch.rpm EPEL repository].
 
<!--T:26-->
<pre>
[root@centos7]# yum -y install epel-release
</pre>
 
<!--T:27-->
Install the <b>Arbutus Cloud</b> [http://repo.arbutus.cloud.computecanada.ca/pulp/repos/centos/arbutus-cloud-vgpu-repo.el7.noarch.rpm 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.
<pre>
[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
</pre>
 
<!--T:28-->
The last step is to install the <b>NVIDIA vGPU packages</b>.
The kernel module package <code>nvidia-vgpu-kmod</code> will take a few minutes as it compiles the required kernel modules in the background.
<pre>
[root@centos7]# yum -y install nvidia-vgpu-kmod nvidia-vgpu-gridd nvidia-vgpu-tools
</pre>
 
<!--T:29-->
If your installation was successful, the vGPU will be accessible and licensed.
Test this by running <code>nvidia-smi</code>:
<pre>
[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                                                |
+-----------------------------------------------------------------------------+
 
<!--T:53-->
</pre>
 
<!--T:30-->
To check for the license status as well as other information about the vGPU:
 
<pre>
[root@centos7]# nvidia-smi -q |less
==============NVSMI LOG============== <!--T:54-->
 
<!--T:55-->
Timestamp                                : Tue Sep 21 17:41:48 2021
Driver Version                            : 460.91.03
CUDA Version                              : 11.2
 
<!--T:56-->
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
</pre>
 
<!-- ============ UPDATE PREPARATION DO NOT PUBLISH YET! ========================== -->
<!--
== Preparation of a VM running Almalinux8 == <!--T:76-->
 
<!--T:77-->
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.
<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
</pre>
</pre>
<translate>


<!--T:78-->
<!--T:95-->
After the reboot of the VM, the [http://repo.arbutus.cloud.computecanada.ca/pulp/repos/alma8/Packages/a/arbutus-cloud-vgpu-repo-1.0-1.el8.noarch.rpm Arbutus Cloud repository]
After the reboot of the VM, the Arbutus vGPU Cloud repository needs to be installed.
needs to be installed.


<!--T:79-->
</translate>
<pre>
<pre>
[root@almalinux8]# dnf install http://repo.arbutus.cloud.computecanada.ca/pulp/repos/alma8/Packages/a/arbutus-cloud-vgpu-repo-1.0-1.el8.noarch.rpm
[root@almalinux8]# dnf install http://repo.arbutus.cloud.computecanada.ca/pulp/repos/alma8/Packages/a/arbutus-cloud-vgpu-repo-1.0-1.el8.noarch.rpm
</pre>
</pre>
<translate>


<!--T:80-->
<!--T:96-->
The next step is to install the vGPU packages, which will install the required driver and user-space tools.
The next step is to install the vGPU packages, which will install the required driver and user-space tools.
 
</translate>
<!--T:81-->
<pre>
<pre>
[root@vgpu almalinux]# dnf -y install nvidia-vgpu-gridd.x86_64 nvidia-vgpu-tools.x86_64 nvidia-vgpu-kmod.x86_64
[root@vgpu almalinux]# dnf -y install nvidia-vgpu-gridd.x86_64 nvidia-vgpu-tools.x86_64 nvidia-vgpu-kmod.x86_64
</pre>
</pre>
<translate>


<!--T:82-->
<!--T:97-->
After a successful  installation, <b>nvidia-smi</b> can be used to verify the proper functionality.
After a successful  installation, <code>nvidia-smi</code> can be used to verify the proper functionality.


<!--T:83-->
</translate>
<pre>
<pre>
[root@almalinux8]# nvidia-smi  
[root@almalinux8]# nvidia-smi  
Tue Apr 23 16:37:31 2024     
+-----------------------------------------------------------------------------------------+
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 550.54.15              Driver Version: 550.54.15      CUDA Version: 12.4    |
| NVIDIA-SMI 550.54.15              Driver Version: 550.54.15      CUDA Version: 12.4    |
Line 256: Line 141:
+-----------------------------------------------------------------------------------------+
+-----------------------------------------------------------------------------------------+
</pre>
</pre>
-->
<translate>


== Preparation of a VM running Almalinux9 == <!--T:76-->  
== Preparation of a VM running Debian 11 == <!--T:98-->
Ensure that the latest packages are installed and the system has been booted with the latest stable kernel, as <b>DKMS</b> will request the latest one available from the Debian repositories.


<!--T:77-->
</translate>
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.
<pre>
<pre>
[root@vgpu almalinux]# dnf -y update && dnf -y install epel-release && reboot
root@debian11:~# apt-get update && apt-get -y dist-upgrade && reboot
</pre>
</pre>
<translate>


<!--T:78-->
<!--T:99-->
After the reboot of the VM, the [http://repo.arbutus.cloud.computecanada.ca/pulp/repos/alma9/Packages/a/arbutus-cloud-vgpu-repo-1.0-1.el9.noarch.rpm Arbutus Cloud repository]
After a successful reboot, the system should have the latest available kernel running and the repository can be installed, by installing the <code>arbutus-cloud-repo</code> package.
needs to be installed.
This package also contains the gpg key all packages are signed with.


<!--T:79-->
</translate>
<pre>
<pre>
[root@almalinux8]# dnf install http://repo.arbutus.cloud.computecanada.ca/pulp/repos/alma9/Packages/a/arbutus-cloud-vgpu-repo-1.0-1.el9.noarch.rpm
root@debian11:~# wget http://repo.arbutus.cloud.computecanada.ca/pulp/deb/deb11/pool/main/arbutus-cloud-repo_0.1_all.deb
root@debian11:~# apt-get install -y ./arbutus-cloud-repo_0.1_all.deb
</pre>
</pre>
<translate>


<!--T:80-->
<!--T:100-->
The next step is to install the vGPU packages, which will install the required driver and user-space tools.
Update the local apt cache and install the vGPU packages:


<!--T:81-->
</translate>
<pre>
<pre>
[root@vgpu almalinux]# dnf -y install nvidia-vgpu-gridd.x86_64 nvidia-vgpu-tools.x86_64 nvidia-vgpu-kmod.x86_64
root@debian11:~# apt-get update && apt-get -y install nvidia-vgpu-kmod nvidia-vgpu-tools nvidia-vgpu-gridd
</pre>
</pre>


<!--T:82-->
After a successful  installation, <b>nvidia-smi</b> can be used to verify the proper functionality.
<!--T:83-->
<pre>
<pre>
[root@almalinux9]# nvidia-smi  
root@debian11:~# nvidia-smi
Tue Apr 23 16:37:31 2024       
Tue Apr 23 18:55:18 2024       
+-----------------------------------------------------------------------------------------+
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 550.54.15              Driver Version: 550.54.15      CUDA Version: 12.4    |
| NVIDIA-SMI 550.54.15              Driver Version: 550.54.15      CUDA Version: 12.4    |
Line 311: Line 194:
+-----------------------------------------------------------------------------------------+
+-----------------------------------------------------------------------------------------+
</pre>
</pre>
<translate>


== Preparation of a VM running Debian12 == <!--T:64-->
== Preparation of a VM running Debian 12 == <!--T:101-->
Ensure that the latest packages are installed and the system has been booted with the latest stable kernel, as <b>DKMS</b> will request the latest one available from the Debian repositories.
Ensure that the latest packages are installed and the system has been booted with the latest stable kernel, as <b>DKMS</b> will request the latest one available from the Debian repositories.


<!--T:65-->
</translate>
<pre>
<pre>
root@debian12:~# apt-get update && apt-get -y dist-upgrade && reboot
root@debian12:~# apt-get update && apt-get -y dist-upgrade && reboot
</pre>  
</pre>  
<translate>


<!--T:66-->
<!--T:102-->
After a successful reboot, the system should have the latest available kernel running and the repository can be installed, by installing the <code>arbutus-cloud-repo</code> package.
After a successful reboot, the system should have the latest available kernel running and the repository can be installed, by installing the <code>arbutus-cloud-repo</code> package.
This package also contains the gpg key all packages are signed with.
This package also contains the gpg key all packages are signed with.


<!--T:67-->
</translate>
<pre>
<pre>
root@debian12:~# wget http://repo.arbutus.cloud.computecanada.ca/pulp/deb/deb12/pool/main/arbutus-cloud-repo_0.1+deb12_all.deb
root@debian12:~# wget http://repo.arbutus.cloud.computecanada.ca/pulp/deb/deb12/pool/main/arbutus-cloud-repo_0.1+deb12_all.deb
root@debian12:~# apt-get install -y ./arbutus-cloud-repo_0.1+deb12_all.deb
root@debian12:~# apt-get install -y ./arbutus-cloud-repo_0.1+deb12_all.deb
</pre>
</pre>
<translate>


<!--T:68-->
<!--T:103-->
Update the local apt cache and install the vGPU packages:
Update the local apt cache and install the vGPU packages:


<!--T:69-->
</translate>
<pre>
<pre>
root@debian12:~# apt-get update && apt-get -y install nvidia-vgpu-kmod nvidia-vgpu-tools nvidia-vgpu-gridd
root@debian12:~# apt-get update && apt-get -y install nvidia-vgpu-kmod nvidia-vgpu-tools nvidia-vgpu-gridd
Line 361: Line 247:
+-----------------------------------------------------------------------------------------+
+-----------------------------------------------------------------------------------------+
</pre>
</pre>
<translate>


== Preparation of a VM running Debian11 == <!--T:64-->
== Preparation of a VM running Ubuntu 22 == <!--T:104-->
Ensure that the latest packages are installed and the system has been booted with the latest stable kernel, as <b>DKMS</b> will request the latest one available from the Debian repositories.
 
<!--T:65-->
<pre>
root@debian11:~# apt-get update && apt-get -y dist-upgrade && reboot
</pre>
 
<!--T:66-->
After a successful reboot, the system should have the latest available kernel running and the repository can be installed, by installing the <code>arbutus-cloud-repo</code> package.
This package also contains the gpg key all packages are signed with.
 
<!--T:67-->
<pre>
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
</pre>
 
<!--T:68-->
Update the local apt cache and install the vGPU packages:
 
<!--T:69-->
<pre>
root@debian11:~# apt-get update && apt-get -y install nvidia-vgpu-kmod nvidia-vgpu-tools nvidia-vgpu-gridd
</pre>
 
<!-- ============ UPDATE PREPARATION DO NOT PUBLISH YET! ========================== -->
<!--
== Preparation of a VM running Ubuntu22 == <!--T:8-->
Ensure that the OS is up to date, that all the latest patches are installed, and that the latest stable kernel is running.
Ensure that the OS is up to date, that all the latest patches are installed, and that the latest stable kernel is running.


<!--T:48-->
</translate>
<pre>
<pre>
root@ubuntu22:~# apt-get update && apt-get -y dist-upgrade && reboot
root@ubuntu22:~# apt-get update && apt-get -y dist-upgrade && reboot
</pre>
</pre>
<translate>


<!--T:49-->
<!--T:105-->
After a successful reboot, the system should have the latest available kernel running.  
After a successful reboot, the system should have the latest available kernel running.  
Now the repository can be installed by installing the <code>arbutus-cloud-repo</code> package.
Now the repository can be installed by installing the <code>arbutus-cloud-repo</code> package.
This package also contains the gpg key all packages are signed with.
This package also contains the gpg key all packages are signed with.


<!--T:50-->
</translate>
<pre>
<pre>
root@ubuntu22:~# wget http://repo.arbutus.cloud.computecanada.ca/pulp/deb/ubnt22/pool/main/arbutus-cloud-repo_0.1_all.deb
root@ubuntu22:~# wget http://repo.arbutus.cloud.computecanada.ca/pulp/deb/ubnt22/pool/main/arbutus-cloud-repo_0.1_all.deb
root@ubuntu22:~# apt-get install ./arbutus-cloud-repo_0.1_all.deb
root@ubuntu22:~# apt-get install ./arbutus-cloud-repo_0.1_all.deb
</pre>
</pre>
<translate>


<!--T:51-->
<!--T:106-->
Update the local apt cache and install the vGPU packages:
Update the local apt cache and install the vGPU packages:
</translate>
<pre>
<pre>
root@ubuntu22:~# apt-get update && apt-get -y install nvidia-vgpu-kmod nvidia-vgpu-tools nvidia-vgpu-gridd
root@ubuntu22:~# apt-get update && apt-get -y install nvidia-vgpu-kmod nvidia-vgpu-tools nvidia-vgpu-gridd
</pre>
</pre>
<translate>


<!--T:52-->
<!--T:107-->
If your installation was successful, the vGPU will be accessible and licensed.
If your installation was successful, the vGPU will be accessible and licensed.


</translate>
<pre>
<pre>
root@ubuntu22:~# nvidia-smi  
root@ubuntu22:~# nvidia-smi  
Line 441: Line 305:
+-----------------------------------------------------------------------------------------+
+-----------------------------------------------------------------------------------------+
</pre>
</pre>
<translate>


-->
== Preparation of a VM running Ubuntu 20 == <!--T:108-->
 
== Preparation of a VM running Ubuntu20 == <!--T:8-->
Ensure that the OS is up to date, that all the latest patches are installed, and that the latest stable kernel is running.
Ensure that the OS is up to date, that all the latest patches are installed, and that the latest stable kernel is running.


<!--T:48-->
</translate>
<pre>
<pre>
root@ubuntu20:~# apt-get update && apt-get -y dist-upgrade && reboot
root@ubuntu20:~# apt-get update && apt-get -y dist-upgrade && reboot
</pre>
</pre>
<translate>


<!--T:49-->
<!--T:109-->
After a successful reboot, the system should have the latest available kernel running.  
After a successful reboot, the system should have the latest available kernel running.  
Now the repository can be installed by installing the <code>arbutus-cloud-repo</code> package.
Now the repository can be installed by installing the <code>arbutus-cloud-repo</code> package.
This package also contains the gpg key all packages are signed with.
This package also contains the gpg key all packages are signed with.


<!--T:50-->
</translate>
<pre>
<pre>
root@ubuntu20:~# wget http://repo.arbutus.cloud.computecanada.ca/pulp/deb/ubnt20/pool/main/arbutus-cloud-repo_0.1ubuntu20_all.deb
root@ubuntu20:~# wget http://repo.arbutus.cloud.computecanada.ca/pulp/deb/ubnt20/pool/main/arbutus-cloud-repo_0.1ubuntu20_all.deb
root@ubuntu20:~# apt-get install ./arbutus-cloud-repo_0.1ubuntu20_all.deb
root@ubuntu20:~# apt-get install ./arbutus-cloud-repo_0.1ubuntu20_all.deb
</pre>
</pre>
<translate>


<!--T:51-->
<!--T:110-->
Update the local apt cache and install the vGPU packages:
Update the local apt cache and install the vGPU packages:
</translate>
<pre>
<pre>
root@ubuntu20:~# apt-get update && apt-get -y install nvidia-vgpu-kmod nvidia-vgpu-tools nvidia-vgpu-gridd
root@ubuntu20:~# apt-get update && apt-get -y install nvidia-vgpu-kmod nvidia-vgpu-tools nvidia-vgpu-gridd
</pre>
</pre>
<translate>


<!--T:52-->
<!--T:111-->
If your installation was successful, the vGPU will be accessible and licensed.
If your installation was successful, the vGPU will be accessible and licensed.


</translate>
<pre>
<pre>
root@ubuntu20:~# nvidia-smi  
root@ubuntu20:~# nvidia-smi  
Line 496: Line 364:
</pre>
</pre>


== Preparation of a VM running Ubuntu20 == <!--T:8-->
Ensure that the OS is up to date, that all the latest patches are installed, and that the latest stable kernel is running.
<!--T:48-->
<pre>
root@ubuntu20:~# apt-get update && apt-get -y dist-upgrade && reboot
</pre>
<!--T:49-->
After a successful reboot, the system should have the latest available kernel running.
Now the repository can be installed by installing the <code>arbutus-cloud-repo</code> package.
This package also contains the gpg key all packages are signed with.
<!--T:50-->
<pre>
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
</pre>
<!--T:51-->
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:
<pre>
root@ubuntu20:~# apt-get update && apt-get -y install nvidia-vgpu-kmod nvidia-vgpu-tools nvidia-vgpu-gridd
</pre>
<!--T:52-->
If your installation was successful, the vGPU will be accessible and licensed.
Test this by running <code>nvidia-smi</code> as shown above for [[Using cloud vGPUs#Preparation_of_a_VM_running_CentOS7 | CentOS7]].
</translate>
[[Category:Cloud]]
[[Category:Cloud]]

Latest revision as of 18:42, 29 October 2024

Other languages:

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 AlmaLinux 9

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.

AlmaLinux 9 has by default a faulty nouveau driver which crashes the kernel as soon as the nvidia driver is mounted. The VM needs a few extra steps to prevent the loading of the nouveau driver when the system boots. 

[root@almalinux9]# echo -e "blacklist nouveau\noptions nouveau modeset=0" >/etc/modprobe.d/blacklist-nouveau.conf
[root@almalinux9]# dracut -fv --omit-drivers nouveau
[root@almalinux9]# dnf -y update && dnf -y install epel-release && reboot

After the reboot of the VM, the Arbutus vGPU Cloud repository needs to be installed. 

[root@almalinux9]# dnf install http://repo.arbutus.cloud.computecanada.ca/pulp/repos/alma9/Packages/a/arbutus-cloud-vgpu-repo-1.0-1.el9.noarch.rpm

The next step is to install the vGPU packages, which will install the required driver and user-space tools. 

[root@almalinux9]# 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@almalinux9]# nvidia-smi 
Tue Apr 23 16:37:31 2024       
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 550.54.15              Driver Version: 550.54.15      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  GRID V100D-8C                  On  |   00000000:00:06.0 Off |                    0 |
| N/A   N/A    P0             N/A /  N/A  |       0MiB /   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 AlmaLinux 8

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 vGPU Cloud repository needs to be installed. 

[root@almalinux8]# dnf install http://repo.arbutus.cloud.computecanada.ca/pulp/repos/alma8/Packages/a/arbutus-cloud-vgpu-repo-1.0-1.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 
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 550.54.15              Driver Version: 550.54.15      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  GRID V100D-8C                  On  |   00000000:00:06.0 Off |                    0 |
| N/A   N/A    P0             N/A /  N/A  |       0MiB /   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 Debian 11

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/deb11/pool/main/arbutus-cloud-repo_0.1_all.deb
root@debian11:~# apt-get install -y ./arbutus-cloud-repo_0.1_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

root@debian11:~# nvidia-smi
Tue Apr 23 18:55:18 2024       
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 550.54.15              Driver Version: 550.54.15      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  GRID V100D-8C                  On  |   00000000:00:06.0 Off |                    0 |
| N/A   N/A    P0             N/A /  N/A  |       0MiB /   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 Debian 12

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@debian12:~# 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@debian12:~# wget http://repo.arbutus.cloud.computecanada.ca/pulp/deb/deb12/pool/main/arbutus-cloud-repo_0.1+deb12_all.deb
root@debian12:~# apt-get install -y ./arbutus-cloud-repo_0.1+deb12_all.deb

Update the local apt cache and install the vGPU packages: 

root@debian12:~# apt-get update && apt-get -y install nvidia-vgpu-kmod nvidia-vgpu-tools nvidia-vgpu-gridd

root@debian12:~# nvidia-smi
Tue Apr 23 18:55:18 2024       
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 550.54.15              Driver Version: 550.54.15      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  GRID V100D-8C                  On  |   00000000:00:06.0 Off |                    0 |
| N/A   N/A    P0             N/A /  N/A  |       0MiB /   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 Ubuntu 22

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/ubnt22/pool/main/arbutus-cloud-repo_0.1_all.deb
root@ubuntu22:~# apt-get install ./arbutus-cloud-repo_0.1_all.deb

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. 

root@ubuntu22:~# nvidia-smi 
Wed Apr 24 14:37:52 2024       
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 550.54.15              Driver Version: 550.54.15      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  GRID V100D-8C                  On  |   00000000:00:06.0 Off |                    0 |
| N/A   N/A    P0             N/A /  N/A  |       0MiB /   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 Ubuntu 20

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/ubnt20/pool/main/arbutus-cloud-repo_0.1ubuntu20_all.deb
root@ubuntu20:~# apt-get install ./arbutus-cloud-repo_0.1ubuntu20_all.deb

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. 

root@ubuntu20:~# nvidia-smi 
Wed Apr 24 14:37:52 2024       
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 550.54.15              Driver Version: 550.54.15      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  GRID V100D-8C                  On  |   00000000:00:06.0 Off |                    0 |
| N/A   N/A    P0             N/A /  N/A  |       0MiB /   8192MiB |      0%      Default |
|                                         |                        |                  N/A |
+-----------------------------------------+------------------------+----------------------+
                                                                                         
+-----------------------------------------------------------------------------------------+
| Processes:                                                                              |
|  GPU   GI   CI        PID   Type   Process name                              GPU Memory |
|        ID   ID                                                               Usage      |
|=========================================================================================|
|  No running processes found                                                             |
+-----------------------------------------------------------------------------------------+
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