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feat: Install Nvidia DOCA on the servers post provisioning
Signed-off-by: Boris Glimcher <[email protected]>
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‎docs/source/InstallationGuides/InstallingProvisionTool/index.rst‎

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* Configures a docker registry to pull images from the internet and store them locally
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* Optionally installs OFED and CUDA
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* Optionally installs OFED, DOCA and CUDA
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.. toctree::
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‎docs/source/InstallationGuides/InstallingProvisionTool/installprovisiontool.rst‎

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* CUDA requires an additional reboot while being installed. While this is taken care of by Omnia, users are required to wait an additional few minutes when running the provision tool with CUDA installation for the target nodes to come up.
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**Installing DOCA**
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**Using the provision tool**
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* If ``nvidia_doca_path`` is provided in ``input/provision_config.yml`` and Nvidia DPUs are available on the target nodes, DOCA packages will be deployed post provisioning without user intervention.
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**Using the Network playbook**
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* DOCA can also be installed using `network.yml <../../Roles/Network/index.html>`_ after provisioning the servers (Assuming the provision tool did not install DOCA packages).
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.. note:: The DOCA package can be downloaded from `here <https://developer.nvidia.com/networking/doca>`_ .
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**Installing OFED**
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**Using the provision tool**

‎docs/source/InstallationGuides/InstallingProvisionTool/provisionparams.rst‎

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| ``string`` | |
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| Optional | |
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+----------------------------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
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| nvidia_doca_path | Absolute path to local copy of .rpm file containing DOCA packages. The doca rpm can be downloaded from https://developer.nvidia.com/networking/doca. DOCA will be installed post provisioning without any user intervention. Eg: nvidia_doca_path: "/root/doca-host-repo-rhel86-2.5.0-0.0.1.2.5.0108.1.el8.23.10.1.1.9.0.x86_64.rpm" |
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| ``string`` | |
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| Optional | |
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+----------------------------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
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.. note::
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‎docs/source/InstallationGuides/InstallingProvisionTool/provisionprereqs.rst‎

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.. [1] Ensure that control planes running RHEL have an active subscription or are configured to access local repositories. The following repositories should be enabled on the control plane: **AppStream**, **Code Ready Builder (CRB)**, **BaseOS**. For RHEL control planes running 8.5 and below, ensure that sshpass is additionally available to install or download to the control plane (from any local repository).
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* To **optionally** set up CUDA and OFED using the provisioning tool, download the required repositories to the control plane from here to deploy on the target nodes:
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* To **optionally** set up CUDA, DOCA and OFED using the provisioning tool, download the required repositories to the control plane from here to deploy on the target nodes:
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1. `For NVIDIA GPUs: <https://developer.nvidia.com/cuda-downloads/>`_: CUDA is a parallel computing platform and application programming interface that allows software to use certain types of graphics processing units for general purpose processing, an approach called general-purpose computing on GPUs.
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2. `For Mellanox <https://network.nvidia.com/products/infiniband-drivers/linux/mlnx_ofed/>`_: OFED (OpenFabrics Enterprise Distribution) is open-source software for RDMA and kernel bypass applications. OFED can be used in business, research and scientific environments that require highly efficient networks, storage connectivity and parallel computing.
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3. `For NVIDIA DPUs: <https://developer.nvidia.com/networking/doca/>`_: DOCA is ...
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* Ensure that all connection names under the network manager match their corresponding device names.
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To verify network connection names: ::
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‎docs/source/InstallationGuides/addinganewnode.rst‎

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- The operating system
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- CUDA
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- OFED
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- DOCA
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A new node can be added using the following ways:
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‎docs/source/InstallationGuides/reprovisioningthecluster.rst‎

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- The operating system
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- CUDA
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- OFED
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- DOCA
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Omnia can re-provision the cluster by running the following command: ::
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‎docs/source/Overview/SupportMatrix/omniainstalledsoftware.rst‎

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+------------------------------------+------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
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| MLNX-OFED | BSD License | MLNX_OFED is an NVIDIA tested and packaged version of OFED that supports two interconnect types using the same RDMA (remote DMA) and kernel bypass APIs called OFED verbs – InfiniBand and Ethernet. |
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+------------------------------------+------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
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| NVIDIA DOCA | NVIDIA License | The NVIDIA® DOCA® is the key to unlocking the potential of the NVIDIA® BlueField® networking platform to offload, accelerate, and isolate data center workloads. |
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+------------------------------------+------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
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| ansible pylibssh | LGPL 2.1 | Python bindings to client functionality of libssh specific to Ansible use case. |
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+------------------------------------+------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
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| perl-DBD-Pg | GNU General Public License v3 | DBD::Pg - PostgreSQL database driver for the DBI module |

‎docs/source/Roles/Network/index.rst‎

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2. Infiniband switch configuration
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To install OFED drivers, enter all required parameters in ``input/network_config.yml``:
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3. Nvidia DOCA
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To install OFED and DOCA drivers, enter all required parameters in ``input/network_config.yml``:
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+------------------------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
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| | * ``false`` <- Default |
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| | * ``true`` |
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+------------------------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
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| nvidia_doca_offline_path | Absolute path to local copy of rpm file containing DOCA package. The package can be downloaded from https://developer.nvidia.com/networking/doca/. |
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| [optional] | |
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| ``string`` | |
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+------------------------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
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| nvidia_doca_version | Indicates the version of DOCA to be downloaded. If ``nvidia_doca_offline_path`` is not given, declaring this variable is mandatory. |
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| [optional] | |
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| ``string`` | **Default value**: 2.5.0-0.0.1.23.10.1.1.9.0 |
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+------------------------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
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To run the script: ::
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‎docs/source/Tables/bmc.csv‎

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``string``
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Optional","Absolute path to local copy of .rpm file containing CUDA packages. The cuda rpm can be downloaded from https://developer.nvidia.com/cuda-downloads. CUDA will be installed post provisioning without any user intervention. Eg: cuda_toolkit_path: ""/root/cuda-repo-rhel8-12-0-local-12.0.0_525.60.13-1.x86_64.rpm"""
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"**nvidia_doca_path**
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``string``
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Optional","Absolute path to local copy of .rpm file containing DOCA packages. The doca rpm can be downloaded from https://developer.nvidia.com/networking/doca. DOCA will be installed post provisioning without any user intervention. Eg: nvidia_doca_path: ""/root/doca-host-repo-rhel86-2.5.0-0.0.1.2.5.0108.1.el8.23.10.1.1.9.0.x86_64.rpm"""
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"**apptainer_support**
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``boolean`` [1]_

‎docs/source/Tables/mapping.csv‎

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Optional","Absolute path to local copy of .rpm file containing CUDA packages. The cuda rpm can be downloaded from https://developer.nvidia.com/cuda-downloads. CUDA will be installed post provisioning without any user intervention. Eg: cuda_toolkit_path: ""/root/cuda-repo-rhel8-12-0-local-12.0.0_525.60.13-1.x86_64.rpm"""
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"**nvidia_doca_path**
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``string``
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Optional","Absolute path to local copy of .rpm file containing DOCA packages. The doca rpm can be downloaded from https://developer.nvidia.com/networking/doca. DOCA will be installed post provisioning without any user intervention. Eg: nvidia_doca_path: ""/root/doca-host-repo-rhel86-2.5.0-0.0.1.2.5.0108.1.el8.23.10.1.1.9.0.x86_64.rpm"""
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"**apptainer_support**
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``boolean`` [1]_

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