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Using cloud vGPUs: Difference between revisions
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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), | ||
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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 == | == Supported flavors == <!--T:85--> | ||
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* g1-16gb-c8-40gb | * g1-16gb-c8-40gb | ||
== Preparation of a VM running AlmaLinux 9 == | == Preparation of a VM running AlmaLinux 9 == <!--T:86--> | ||
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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. | ||
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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. | ||
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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. | 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. | The VM needs a few extra steps to prevent the loading of the nouveau driver when the system boots. | ||
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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. | ||
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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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After a successful installation, <code>nvidia-smi</code> can be used to verify the proper functionality. | After a successful installation, <code>nvidia-smi</code> can be used to verify the proper functionality. | ||
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== Preparation of a VM running AlmaLinux 8 == | == Preparation of a VM running AlmaLinux 8 == <!--T:93--> | ||
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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 Arbutus vGPU Cloud repository needs to be installed. | After the reboot of the VM, the Arbutus vGPU Cloud repository needs to be installed. | ||
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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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After a successful installation, <code>nvidia-smi</code> can be used to verify the proper functionality. | After a successful installation, <code>nvidia-smi</code> can be used to verify the proper functionality. | ||
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== Preparation of a VM running Debian 11 == | == 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. | 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. | ||
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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. | ||
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Update the local apt cache and install the vGPU packages: | Update the local apt cache and install the vGPU packages: | ||
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== Preparation of a VM running Debian 12 == | == 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. | ||
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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. | ||
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Update the local apt cache and install the vGPU packages: | Update the local apt cache and install the vGPU packages: | ||
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== Preparation of a VM running Ubuntu 22 == | == 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. | Ensure that the OS is up to date, that all the latest patches are installed, and that the latest stable kernel is running. | ||
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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. | ||
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Update the local apt cache and install the vGPU packages: | Update the local apt cache and install the vGPU packages: | ||
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If your installation was successful, the vGPU will be accessible and licensed. | If your installation was successful, the vGPU will be accessible and licensed. | ||
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== Preparation of a VM running Ubuntu 20 == | == 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. | Ensure that the OS is up to date, that all the latest patches are installed, and that the latest stable kernel is running. | ||
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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. | ||
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Update the local apt cache and install the vGPU packages: | Update the local apt cache and install the vGPU packages: | ||
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If your installation was successful, the vGPU will be accessible and licensed. | If your installation was successful, the vGPU will be accessible and licensed. | ||