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Updates based on feedback
Signed-off-by: James Sturtevant <[email protected]>
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content/en/docs/reference/command-line-tools-reference/feature-gates/windows-cpu-and-memory-affinity.md

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# Removed from Kubernetes
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title: WindowsCPUAndMemoryAffinity
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content_type: feature_gate
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content/en/docs/tasks/administer-cluster/cpu-management-policies.md

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{{< feature-state feature_gate_name="WindowsCPUAndMemoryAffinity" >}}
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The CPU Manager support can be enabled on Windows by using the `WindowsCPUAndMemoryAffinity` feature gate and requires a support in the container runtime.
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Once the feature gate is enabled, follow the steps below to configure the [CPU manager policy](#configuration).
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CPU Manager support can be enabled on Windows by using the `WindowsCPUAndMemoryAffinity` feature flag and requires support in the container runtime.
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Once feature is enabled follow the steps above to configure the [CPU Manager Policy](#configuration).
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### Configuration
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content/en/docs/tasks/administer-cluster/memory-manager.md

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{{< feature-state feature_gate_name="WindowsCPUAndMemoryAffinity" >}}
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Windows support can be enabled via the `WindowsCPUAndMemoryAffinity` feature gate and requires a support in the container runtime.
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Windows support can be enabled via the `WindowsCPUAndMemoryAffinity` feature gate and requires support in the container runtime.
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Only the [BestEffort Policy](#policy-best-effort) is supported on Windows.
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## Memory Manager configuration
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This policy is only supported on Windows.
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On Windows, NUMA node assignment works differently from Linux. There is no mechanism
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to ensure that memory access only comes from a specific NUMA node, instead the Windows
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scheduler will select the most optimal NUMA node based on the CPU assignments and it is
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possible that Windows might use other nodes if required or deemed optimal. For this
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reason this policy is best effort.
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On Windows, NUMA node assignment works differently than Linux.
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There is no mechanism to ensure that Memory access only comes from a specific NUMA node.
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Instead the Windows scheduler will select the most optimal NUMA node based on the CPU(s) assignments.
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It is possible that Windows might use other NUMA nodes if deemed optimal by the Windows scheduler.
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The policy does track the amount of memory available and requested through the internal
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[NodeMap][2] to make a best effort at ensuring that memory enough memory is available on
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a NUMA node before making the hint to assign it to the NODE. This means that in most cases, this should function as expected.
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The policy does track the amount of memory available and requested through the internal [NodeMap][2].
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The memory manager will make a best effort at ensuring that enough memory is available on
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a NUMA node before making the assignment.
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This means that in most cases memory assignment should function as expected.
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### Reserved memory flag
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