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> [!CAUTION]
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> This article references CentOS, a Linux distribution that is nearing End Of Life (EOL) status. Please consider your use and plan accordingly. For more information, see the [CentOS End Of Life guidance](~/articles/virtual-machines/workloads/centos/centos-end-of-life.md).
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**Applies to:**:heavy_check_mark: Linux VMs :heavy_check_mark: Windows VMs :heavy_check_mark: Flexible scale sets :heavy_check_mark: Uniform scale sets
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**Applies to:**:heavy_check_mark: Linux VMs :heavy_check_mark: Windows VMs :heavy_check_mark: Flexible scale sets :heavy_check_mark: Uniform scale sets.
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Maximizing high performance compute (HPC) application performance on AMD EPYC requires a thoughtful approach memory locality and process placement. Below we outline the AMD EPYC architecture and our implementation of it on Azure for HPC applications. We use the term **pNUMA** to refer to a physical NUMA domain, and **vNUMA** to refer to a virtualized NUMA domain.
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| Orchestrator Support | CycleCloud, Batch, AKS; [cluster configuration options](sizes-hpc.md#cluster-configuration-options)|
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> [!NOTE]
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> Windows Server 2012 R2 is not supported on HBv2 and other VMs with more than 64 (virtual or physical) cores. See [Supported Windows guest operating systems for Hyper-V on Windows Server](/windows-server/virtualization/hyper-v/supported-windows-guest-operating-systems-for-hyper-v-on-windows) for more details.
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> Windows Server 2012 R2 is not supported on HBv2 and other VMs with more than 64 (virtual or physical) cores. For more details, see [Supported Windows guest operating systems for Hyper-V on Windows Server](/windows-server/virtualization/hyper-v/supported-windows-guest-operating-systems-for-hyper-v-on-windows).
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## Next steps
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-Learn more about [AMD EPYC architecture](https://bit.ly/2Epv3kC) and [multi-chip architectures](https://bit.ly/2GpQIMb). For more detailed information, see the [HPC Tuning Guide for AMD EPYC Processors](https://bit.ly/2T3AWZ9).
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-Read about the latest announcements, HPC workload examples, and performance results at the[Azure Compute Tech Community Blogs](https://techcommunity.microsoft.com/t5/azure-compute/bg-p/AzureCompute).
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-For more information about [AMD EPYC architecture](https://bit.ly/2Epv3kC) and [multi-chip architectures](https://bit.ly/2GpQIMb), see the [HPC Tuning Guide for AMD EPYC Processors](https://bit.ly/2T3AWZ9).
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-For latest announcements on HPC workload examples, and performance results see[Azure Compute Tech Community Blogs](https://techcommunity.microsoft.com/t5/azure-compute/bg-p/AzureCompute).
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- For a higher level architectural view of running HPC workloads, see [High Performance Computing (HPC) on Azure](/azure/architecture/topics/high-performance-computing/).
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