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Source facts

\n

Azure’s HPC images contain preconfigured drivers, MPI libraries, and tuned HPC software. Microsoft documents an installed-component version index at /opt/azurehpc/component_versions.txt. MPI libraries and software packages are exposed as environment modules, with a module-load operation selecting the library or package for use. The image documentation also provides a supported VM-size matrix. Microsoft Learn.

\n

Applicability

\n

Use this review when reproducing a cluster job, comparing performance results, or moving an application to another HPC image version. Confirm the chosen VM family is supported and identify the specific MPI implementation expected by the application.

\n

DSE recommendation

\n

Tie each job’s selected MPI environment to the exact image and installed component inventory. Have the job owner make the module selection explicit in the reviewed launch procedure. Keep the build and runtime environment records together so a later investigation can determine which implementation was intended and actually used. Avoid replacing that evidence with a generic statement that the node runs an HPC image.

\n

Verification

\n

Capture the relevant installed versions and active module selection on representative nodes before running the approved test. Compare those records across the participating nodes and with the application requirements. Run a representative communication task and preserve its observed result alongside the environment evidence. Investigate unexplained differences before combining results from separate runs. Do not infer a performance improvement merely from the presence of a preconfigured library.

\n

Official references

\n

Microsoft Learn: Azure HPC/AI VM images. Source reviewed September 9, 2026.

", "content_text": "Source facts\nAzure’s HPC images contain preconfigured drivers, MPI libraries, and tuned HPC software. Microsoft documents an installed-component version index at /opt/azurehpc/component_versions.txt. MPI libraries and software packages are exposed as environment modules, with a module-load operation selecting the library or package for use. The image documentation also provides a supported VM-size matrix. Microsoft Learn.\nApplicability\nUse this review when reproducing a cluster job, comparing performance results, or moving an application to another HPC image version. Confirm the chosen VM family is supported and identify the specific MPI implementation expected by the application.\nDSE recommendation\nTie each job’s selected MPI environment to the exact image and installed component inventory. Have the job owner make the module selection explicit in the reviewed launch procedure. Keep the build and runtime environment records together so a later investigation can determine which implementation was intended and actually used. Avoid replacing that evidence with a generic statement that the node runs an HPC image.\nVerification\nCapture the relevant installed versions and active module selection on representative nodes before running the approved test. Compare those records across the participating nodes and with the application requirements. Run a representative communication task and preserve its observed result alongside the environment evidence. Investigate unexplained differences before combining results from separate runs. Do not infer a performance improvement merely from the presence of a preconfigured library.\nOfficial references\nMicrosoft Learn: Azure HPC/AI VM images. Source reviewed September 9, 2026.", "content_markdown": "## Source facts\n\nAzure’s HPC images contain preconfigured drivers, MPI libraries, and tuned HPC software. Microsoft documents an installed-component version index at /opt/azurehpc/component_versions.txt. MPI libraries and software packages are exposed as environment modules, with a module-load operation selecting the library or package for use. The image documentation also provides a supported VM-size matrix. [Microsoft Learn](https://learn.microsoft.com/en-us/azure/virtual-machines/azure-hpc-vm-images).\n\n## Applicability\n\nUse this review when reproducing a cluster job, comparing performance results, or moving an application to another HPC image version. Confirm the chosen VM family is supported and identify the specific MPI implementation expected by the application.\n\n## DSE recommendation\n\nTie each job’s selected MPI environment to the exact image and installed component inventory. Have the job owner make the module selection explicit in the reviewed launch procedure. Keep the build and runtime environment records together so a later investigation can determine which implementation was intended and actually used. Avoid replacing that evidence with a generic statement that the node runs an HPC image.\n\n## Verification\n\nCapture the relevant installed versions and active module selection on representative nodes before running the approved test. Compare those records across the participating nodes and with the application requirements. Run a representative communication task and preserve its observed result alongside the environment evidence. Investigate unexplained differences before combining results from separate runs. Do not infer a performance improvement merely from the presence of a preconfigured library.\n\n## Official references\n\n[Microsoft Learn: Azure HPC/AI VM images](https://learn.microsoft.com/en-us/azure/virtual-machines/azure-hpc-vm-images). 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Avoid replacing that evidence with a generic statement that the node runs an HPC image.\nVerification\nCapture the relevant installed versions and active module selection on representative nodes before running the approved test. Compare those records across the participating nodes and with the application requirements. Run a representative communication task and preserve its observed result alongside the environment evidence. Investigate unexplained differences before combining results from separate runs. Do not infer a performance improvement merely from the presence of a preconfigured library.\nOfficial references\nMicrosoft Learn: Azure HPC/AI VM images. 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