Using cloud vGPUs: Difference between revisions

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== Preparation of a VM running Almalinux8 ==  
== Preparation of a VM running Almalinux8 == <!--T:76-->


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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 epel repository is required.
To have access to the [https://en.wikipedia.org/wiki/Dynamic_Kernel_Module_Support DKMS] package, the epel repository is required.
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After the reboot of the VM, the [http://repo.arbutus.cloud.computecanada.ca/pulp/repos/centos/8/x86_64/Packages/a/arbutus-cloud-vgpu-repo-1.0-1.el8.noarch.rpm Arbutus Cloud repository]  
After the reboot of the VM, the [http://repo.arbutus.cloud.computecanada.ca/pulp/repos/centos/8/x86_64/Packages/a/arbutus-cloud-vgpu-repo-1.0-1.el8.noarch.rpm Arbutus Cloud repository]  
needs to be installed.
needs to be installed.


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[root@almalinux8]# dnf install http://repo.arbutus.cloud.computecanada.ca/pulp/repos/centos/8/x86_64/Packages/a/arbutus-cloud-vgpu-repo-1.0-1.el8.noarch.rpm
[root@almalinux8]# dnf install http://repo.arbutus.cloud.computecanada.ca/pulp/repos/centos/8/x86_64/Packages/a/arbutus-cloud-vgpu-repo-1.0-1.el8.noarch.rpm
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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.


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[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
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After a successful  installation, <b>nvidia-smi</b> can be used to verify the proper functionality.
After a successful  installation, <b>nvidia-smi</b> can be used to verify the proper functionality.


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[root@almalinux8]# nvidia-smi  
[root@almalinux8]# nvidia-smi  
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