13f33b85ef
Per recent updates, updating use of 'compute' node to be 'worker' node. StarlingX uses worker nodes, and a 'compute' node is a specialization of a worker node (OpenStack compute label applied). - Update narrative text to use worker node - Update shell scripts to use NODE instead of COMPUTE Updated non-versioned content and R3 installation guides. Change-Id: Ia3c5d354468f18efb79c823e5bfddf17e34998a9 Signed-off-by: Kristal Dale <kristal.dale@intel.com>
78 lines
2.4 KiB
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78 lines
2.4 KiB
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Kubernetes Intel GPU Device Plugin Configuration
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================================================
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This document describes how to enable the Intel GPU device plugin in StarlingX
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and schedule pods on nodes with an Intel GPU.
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------------------------------
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Enable Intel GPU device plugin
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------------------------------
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You can pre-install the ``intel-gpu-plugin`` daemonset as follows:
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#. Launch the ``intel-gpu-plugin`` daemonset.
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Add the following lines to the ``localhost.yaml`` file before playing the
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Ansible bootstrap playbook to configure the system.
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::
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k8s_plugins:
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intel-gpu-plugin: intelgpu=enabled
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#. Assign the ``intelgpu`` label to each node that should have the Intel GPU
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plugin enabled. This will make any GPU devices on a given node available for
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scheduling to containers. The following example assigns the ``intelgpu``
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label to the worker-0 node.
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::
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$ NODE=worker-0
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$ system host-lock $NODE
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$ system host-label-assign $NODE intelgpu=enabled
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$ system host-unlock $NODE
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#. After the node becomes available, verify the GPU device plugin is registered
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and that the available GPU devices on the node have been discovered and reported.
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::
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$ kubectl describe node $NODE | grep gpu.intel.com
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gpu.intel.com/i915: 1
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gpu.intel.com/i915: 1
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-------------------------------------
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Schedule pods on nodes with Intel GPU
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-------------------------------------
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Add a ``resources.limits.gpu.intel.com`` to your container specification in order
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to request an available GPU device for your container.
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::
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...
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spec:
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containers:
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- name: ...
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...
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resources:
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limits:
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gpu.intel.com/i915: 1
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The pods will be scheduled to the nodes with available Intel GPU devices. A GPU
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device will be allocated to the container and the available GPU devices will be
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updated.
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::
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$ kubectl describe node $NODE | grep gpu.intel.com
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gpu.intel.com/i915: 1
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gpu.intel.com/i915: 0
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For more details, refer to the following examples:
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* `Kubernetes manifest file example <https://github.com/intel/intel-device-plugins-for-kubernetes/blob/master/demo/intelgpu-job.yaml>`_
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* `Scheduling pods on nodes with Intel GPU example <https://github.com/intel/intel-device-plugins-for-kubernetes/blob/master/cmd/gpu_plugin/README.md#test-gpu-device-plugin>`_
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