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Merge branch 'main' of https://github.com/MicrosoftDocs/azure-docs-pr into rolyon-rbac-troubleshoot-limits-note-increase
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‎articles/virtual-machines/hbv4-performance.md

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@@ -20,7 +20,7 @@ Performance expectations using common HPC microbenchmarks are as follows:
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| Workload | HBv4 |
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|-------------------------------------------------|-------------------------------------------------------------------|
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| STREAM Triad | 750-780 GB/s |
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| STREAM Triad | 750-780 GB/s of DDR5, up to 5.7 TB/s of 3D V-Cache bandwidth |
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| High-Performance Linpack (HPL) | Up to 7.6 TF (Rpeak, FP64) for 144-core VM size |
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| RDMA latency & bandwidth | < 2 microseconds (1 byte), 400 Gb/s (one-way) |
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| FIO on local NVMe SSDs (RAID0) | 12 GB/s reads, 7 GB/s writes; 186k IOPS reads, 201k IOPS writes |
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sh build_stream.sh
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sh stream_run_script.sh $PWD “hbrs_v4”
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```
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## Compute performance test
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The HPL benchmark can be run using the script in this github repository.
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- Review the performance and scalability results of HPC applications on the HBv4 VMs at the [TechCommunity article](https://techcommunity.microsoft.com/t5/azure-compute/hpc-performance-and-scalability-results-with-azure-hbv4-vms/bc-p/2235843).
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- Read about the latest announcements, HPC workload examples, and performance results at the [Azure HPC Microsoft Community Hub](https://techcommunity.microsoft.com/t5/azure-high-performance-computing/bg-p/AzureHighPerformanceComputingBlog).
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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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‎articles/virtual-machines/hbv4-series-overview.md

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![lstopo output for HBv4-176 VM](./media/hpc/architecture/hbv4/hbv4-176-lstopo.png)
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</details>
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<details>
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<summary>Click to view lstopo output for Standard_HB176-144rs_v4</summary>
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![lstopo output for HBv4-144 VM](./media/hpc/architecture/hbv4/hbv4-144-lstopo.png)
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</details>
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<details>
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<summary>Click to view lstopo output for Standard_HB176-96rs_v4</summary>
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![lstopo output for HBv4-64 VM](./media/hpc/architecture/hbv4/hbv4-96-lstopo.png)
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</details>
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<details>
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<summary>Click to view lstopo output for Standard_HB176-48rs_v4</summary>
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![lstopo output for HBv4-32 VM](./media/hpc/architecture/hbv4/hbv4-48-lstopo.png)
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</details>
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<details>
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<summary>Click to view lstopo output for Standard_HB176-24rs_v4</summary>
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![lstopo output for HBv4-16 VM](./media/hpc/architecture/hbv4/hbv4-24-lstopo.png)
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</details>
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| Orchestrator Support | Azure CycleCloud, Azure Batch, AKS; [cluster configuration options](sizes-hpc.md#cluster-configuration-options) |
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> [!NOTE]
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> These VMs support only Generation 2.
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> There is no official kernel level support from AMD on CentOS. Support starts at RHEL 8.6 and a derivative of RHEL which is AlmaLinux 8.6.
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> Windows Server 2012 R2 is not supported on HBv4 and other VMs with more than 64 (virtual or physical) cores. For more information, 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). Windows Server 2022 is required for 144 and 176 core sizes, Windows Server 2016 also works for 24, 48, and 96 core sizes, Windows Server works for only 24 and 48 core sizes.
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> * These VMs support only Generation 2.
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> * There is no official kernel level support from AMD on CentOS. Support starts at RHEL 8.6 and a derivative of RHEL which is AlmaLinux 8.6.
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> * Windows Server 2012 R2 is not supported on HBv4 and other VMs with more than 64 (virtual or physical) cores. For more information, 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). Windows Server 2022 is required for 144 and 176 core sizes, Windows Server 2016 also works for 24, 48, and 96 core sizes, Windows Server works for only 24 and 48 core sizes.
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> [!IMPORTANT]
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> Recommended image URN: almalinux:almalinux-hpc:8_7-hpc-gen2:8.7.2023060101, To deploy this image over Azure CLI, esnure the following parameters are included **--plan 8_7-hpc-gen2 --product almalinux-hpc --publisher almalinux**. For scaling tests please use the recommended URN along with the new [HPC-X tarball] (https://github.com/Azure/azhpc-images/blob/c8db6de3328a691812e58ff56acb5c0661c4d488/alma/alma-8.x/alma-8.6-hpc/install_mpis.sh#L16).
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> Recommended image URN: almalinux:almalinux-hpc:8_7-hpc-gen2:8.7.2023060101, To deploy this image over Azure CLI, ensure the following parameters are included **--plan 8_7-hpc-gen2 --product almalinux-hpc --publisher almalinux**. For scaling tests please use the recommended URN along with the new [HPC-X tarball](https://github.com/Azure/azhpc-images/blob/c8db6de3328a691812e58ff56acb5c0661c4d488/alma/alma-8.x/alma-8.6-hpc/install_mpis.sh#L16).
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> [!NOTE]
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> * NDR support is added in UCX 1.13 or later. Older UCX versions will report the above runtime error. UCX Error: Invalid active speed `[1677010492.951559] [updsb-vm-0:2754 :0] ib_iface.c:1549 UCX ERROR Invalid active_speed on mlx5_ib0:1: 128`.
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> * Ibstat shows low speed (SDR): Older Mellanox OFED (MOFED) versions do not support NDR and it may report slower IB speeds. Please use MOFED versions MOFED 5.6-1.0.3.3 or above.
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## Next steps
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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 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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‎articles/virtual-machines/hx-performance.md

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| Workload | HX |
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|-------------------------------------------------|-------------------------------------------------------------------|
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| STREAM Triad | 750-780GB/s |
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| STREAM Triad | 750-780GB/s of DDR5, up to 5.7 TB/s of 3D-V Cache bandwidth |
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| High-Performance Linpack (HPL) | Up to 7.6 TF (Rpeak, FP64) for 144-core VM size |
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| RDMA latency & bandwidth | < 2 microseconds (1 byte), 400 Gb/s (one-way) |
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| FIO on local NVMe SSDs (RAID0) | 12 GB/s reads, 7 GB/s writes; 186k IOPS reads, 201k IOPS writes |
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sh build_stream.sh
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sh stream_run_script.sh $PWD “hbrs_v4”
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```
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## Compute performance test
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The HPL benchmark can be run using the script in this GitHub repository.
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- Review the performance and scalability results of HPC applications on the HX VMs at the [TechCommunity article](https://techcommunity.microsoft.com/t5/azure-compute/hpc-performance-and-scalability-results-with-azure-hbv4-vms/bc-p/2235843).
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- Read about the latest announcements, HPC workload examples, and performance results at the [Azure HPC Microsoft Community Hub](https://techcommunity.microsoft.com/t5/azure-high-performance-computing/bg-p/AzureHighPerformanceComputingBlog).
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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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