Using cloud vGPUs: Difference between revisions

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<translate>
<!--T:2-->
This guide describes how to allocate vGPU resources to a virtual machine (VM), installing the necessary drivers and checking whether the vGPU can be used. Repository access as well as access to the vGPUs, is currently only available within [https://arbutus.cloud.computecanada.ca Arbutus Cloud].


== Supported flavors == <!--T:23-->
<!--T:84-->
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 [https://arbutus.cloud.computecanada.ca Arbutus Cloud]. Please note that the documentation below only covers the vGPU driver installation. The [https://developer.nvidia.com/cuda-toolkit-archive CUDA toolkit] is not pre-installed but you can install it directly from  NVIDIA or load it from [[Accessing_CVMFS|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 == <!--T:85-->


<!--T:3-->
<!--T:3-->
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.
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.


<!--T:4-->
<!--T:4-->
* vgpu1-c18-56gb
* g1-8gb-c4-22gb
* g1-16gb-c8-40gb
 
== Preparation of a VM running AlmaLinux 9 == <!--T:86-->
 
<!--T:87-->
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.
 
<!--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.
 
<!--T:89-->
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>
[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
</pre>
<translate>
 
<!--T:90-->
After the reboot of the VM, the Arbutus vGPU Cloud repository needs to be installed.
 
</translate>
<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:91-->
The next step is to install the vGPU packages, which will install the required driver and user-space tools.
 
</translate>
<pre>
[root@almalinux9]# dnf -y install nvidia-vgpu-gridd.x86_64 nvidia-vgpu-tools.x86_64 nvidia-vgpu-kmod.x86_64
</pre>
<translate>


== Preparation of a VM running CentOS7 == <!--T:5-->
<!--T:92-->
After a successful  installation, <code>nvidia-smi</code> can be used to verify the proper functionality.


Once the VM is available, make sure to update the OS to the latest available software, including the kernel and reboot the VM to have the latest kernel running.
</translate>
<pre>
<pre>
[root@centos7]# yum -y update && reboot
[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                                                            |
+-----------------------------------------------------------------------------------------+
</pre>
</pre>
<translate>
== Preparation of a VM running AlmaLinux 8 == <!--T:93-->
<!--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.
</translate>
<pre>
[root@vgpu almalinux]# dnf -y update && dnf -y install epel-release && reboot
</pre>
<translate>
<!--T:95-->
After the reboot of the VM, the Arbutus vGPU Cloud repository needs to be installed.
</translate>
<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
</pre>
<translate>
<!--T:96-->
The next step is to install the vGPU packages, which will install the required driver and user-space tools.
</translate>
<pre>
[root@vgpu almalinux]# dnf -y install nvidia-vgpu-gridd.x86_64 nvidia-vgpu-tools.x86_64 nvidia-vgpu-kmod.x86_64
</pre>
<translate>
<!--T:97-->
After a successful  installation, <code>nvidia-smi</code> can be used to verify the proper functionality.
</translate>
<pre>
[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                                                            |
+-----------------------------------------------------------------------------------------+
</pre>
<translate>


Since the proprietary nvidia drivers need to be compiled against the running kernel, the package '''dkms''' is required from the [https://dl.fedoraproject.org/pub/epel/epel-release-latest-7.noarch.rpm EPEL Repository]
== 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.


</translate>
<pre>
<pre>
[root@centos7]# yum -y install https://dl.fedoraproject.org/pub/epel/epel-release-latest-7.noarch.rpm
root@debian11:~# apt-get update && apt-get -y dist-upgrade && reboot
</pre>
</pre>
<translate>
<!--T:99-->
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.


Install the '''Arbutus Cloud''' [http://repo.arbutus.cloud.computecanada.ca/pulp/repos/centos/arbutus-cloud-vgpu-repo.el7.noarch.rpm repository], it also installs the public key the package are signed with to ensure their authenticity, since these drivers and
</translate>
userspace tools are carefully tested first against the infrastructure, before they are made available.
<pre>
<pre>
[root@centos7]# yum -y install http://repo.arbutus.cloud.computecanada.ca/pulp/repos/centos/arbutus-cloud-vgpu-repo.el7.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:100-->
Update the local apt cache and install the vGPU packages:


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.
</translate>
<pre>
<pre>
yum -y install nvidia-vgpu-kmod nvidia-vgpu-gridd nvidia-vgpu-tools
root@debian11:~# apt-get update && apt-get -y install nvidia-vgpu-kmod nvidia-vgpu-tools nvidia-vgpu-gridd
</pre>
</pre>


After the successful installation, the vGPU is a now accessible and licensed.
<pre>
<pre>
[root@centos7]# nvidia-smi        
root@debian11:~# nvidia-smi
Mon Jun  1 16:03:27 2020        
Tue Apr 23 18:55:18 2024        
+-----------------------------------------------------------------------------+
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 440.56      Driver Version: 440.56      CUDA Version: 10.2     |
| 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 |
| GPU  Name                 Persistence-M | Bus-Id         Disp.A | Volatile Uncorr. ECC |
| Fan  Temp Perf Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
| Fan  Temp   Perf         Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
|===============================+======================+======================|
|                                        |                        |              MIG M. |
|  0  GRID V100D-8C       On  | 00000000:00:05.0 Off |                    0 |
|=========================================+========================+======================|
| N/A  N/A    P0   N/A /  N/A |   560MiB / 8192MiB |      0%      Default |
|  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 Memory |
                                                                                       
|  GPU       PID  Type  Process name                             Usage      |
+-----------------------------------------------------------------------------------------+
|=============================================================================|
| Processes:                                                                             |
|  No running processes found                                                 |
|  GPU   GI  CI        PID  Type  Process name                             GPU Memory |
+-----------------------------------------------------------------------------+
|        ID  ID                                                              Usage      |
|=========================================================================================|
|  No running processes found                                                             |
+-----------------------------------------------------------------------------------------+
</pre>
</pre>
<translate>


To check for the license status as well as other information for the vGPU.
== 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.


</translate>
<pre>
<pre>
[root@centos7]# nvidia-smi -q |less
root@debian12:~# apt-get update && apt-get -y dist-upgrade && reboot
==============NVSMI LOG==============
</pre>
<translate>


Timestamp                          : Mon Jun  1 16:06:59 2020
<!--T:102-->
Driver Version                      : 440.56
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.
CUDA Version                        : 10.2
This package also contains the gpg key all packages are signed with.
 
</translate>
<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:~# apt-get install -y ./arbutus-cloud-repo_0.1+deb12_all.deb
</pre>
<translate>


Attached GPUs                      : 1
<!--T:103-->
GPU 00000000:00:05.0
Update the local apt cache and install the vGPU packages:
    Product Name                    : GRID V100D-8C
    Product Brand                  : Grid
    Display Mode                    : Enabled
    Display Active                  : Disabled
    Persistence Mode                : Enabled
    Accounting Mode                : Disabled
    Accounting Mode Buffer Size    : 4000
    Driver Model
        Current                    : N/A
        Pending                    : N/A
    Serial Number                  : N/A
    GPU UUID                        : GPU-315b585a-a41e-11ea-a63b-4ed0221b4f99
    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
    GRID Licensed Product
        Product Name                : NVIDIA vComputeServer
        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
        Sub System Id              : 0x139610DE


</translate>
<pre>
root@debian12:~# apt-get update && apt-get -y install nvidia-vgpu-kmod nvidia-vgpu-tools nvidia-vgpu-gridd
</pre>
</pre>


== Preparation of a VM running CentOS8 == <!--T:6-->
Once the VM is available, make sure to update the OS to the latest available software, including the kernel and reboot the VM to have the latest kernel running.
<pre>
<pre>
[root@centos8]# dnf -y update && reboot
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                                                            |
+-----------------------------------------------------------------------------------------+
</pre>
</pre>
<translate>


Since the proprietary nvidia drivers need to be compiled against the running kernel, the package '''dkms''' is required from the [https://dl.fedoraproject.org/pub/epel/epel-release-latest-8.noarch.rpm EPEL Repository]
== Preparation of a VM running Ubuntu 22 ==  <!--T:104-->
Ensure that the OS is up to date, that all the latest patches are installed, and that the latest stable kernel is running.


</translate>
<pre>
<pre>
[root@centos8]# dnf -y install https://dl.fedoraproject.org/pub/epel/epel-release-latest-8.noarch.rpm
root@ubuntu22:~# apt-get update && apt-get -y dist-upgrade && reboot
</pre>
</pre>
<translate>
<!--T:105-->
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.


Install the '''Arbutus Cloud''' [http://repo.arbutus.cloud.computecanada.ca/pulp/repos/centos/arbutus-cloud-vgpu-repo.el8.noarch.rpm repository], it also installs the public key the package are signed with to ensure their authenticity, since these drivers and
</translate>
userspace tools are carefully tested first against the infrastructure, before they are made available.
<pre>
<pre>
[root@centos8]# dnf -y install http://repo.arbutus.cloud.computecanada.ca/pulp/repos/centos/arbutus-cloud-vgpu-repo.el8.noarch.rpm
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
</pre>
</pre>
<translate>


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


After the successful installation, the vGPU is a now accessible and licensed.
<!--T:107-->
To check on the status, the same '''nvidia-smi''' commands can be used as seen above for Centos7.
If your installation was successful, the vGPU will be accessible and licensed.


== Preparation of a VM running Debian10 == <!--T:7-->
</translate>
in progress....
<pre>
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                                                            |
+-----------------------------------------------------------------------------------------+
</pre>
<translate>


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


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


<!--T:109-->
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.


</translate>
</translate>
<pre>
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
</pre>
<translate>
<!--T:110-->
Update the local apt cache and install the vGPU packages:
</translate>
<pre>
root@ubuntu20:~# apt-get update && apt-get -y install nvidia-vgpu-kmod nvidia-vgpu-tools nvidia-vgpu-gridd
</pre>
<translate>
<!--T:111-->
If your installation was successful, the vGPU will be accessible and licensed.
</translate>
<pre>
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                                                            |
+-----------------------------------------------------------------------------------------+
</pre>
[[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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