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Azure Stack Edge Gpu Deploy Kubernetes Gpu Sharing
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Sad Tux - Windows bias detected
This page contains Windows bias

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This page is part of the Azure documentation. It contains code examples and configuration instructions for working with Azure services.
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Bias Analysis

Detected Bias Types
powershell_heavy
windows_first
missing_linux_example
windows_tools
Summary
The documentation demonstrates a strong Windows bias. All command-line examples are shown in PowerShell, with explicit references to Windows paths (e.g., C:\gpu-sharing\...), and all screenshots and outputs are from PowerShell sessions. There are no Linux shell (bash) equivalents, nor are there any references to Linux tools or terminal environments. The documentation assumes the use of Windows clients and PowerShell for all management tasks, and device management commands (e.g., Get-HcsGpuNvidiaSmi, Start-HcsGpuMPS) are only shown in PowerShell, with no mention of Linux alternatives or how to perform these tasks from a Linux client.
Recommendations
  • Provide equivalent Linux shell (bash) command examples alongside PowerShell commands for all kubectl and file operations.
  • Include Linux path examples (e.g., /home/user/gpu-sharing/k8-gpusharing.yaml) in addition to Windows paths.
  • Clarify whether device management commands (e.g., Get-HcsGpuNvidiaSmi, Start-HcsGpuMPS) are available from Linux clients, and if so, provide Linux usage instructions.
  • If device management is only possible from Windows, explicitly state this limitation and suggest workarounds for Linux users (such as using a Windows VM or container).
  • Add screenshots or terminal outputs from Linux environments to balance the visual representation.
  • Update the prerequisites to explicitly mention supported Linux shells and tools, and provide guidance for Linux users.
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Scan History

Date Scan Status Result
2026-01-14 00:00 #250 in_progress Biased Biased
2026-01-13 00:00 #246 completed Biased Biased
2026-01-11 00:00 #240 completed Biased Biased
2026-01-10 00:00 #237 completed Biased Biased
2026-01-09 00:34 #234 completed Biased Biased
2026-01-08 00:53 #231 completed Biased Biased
2026-01-06 18:15 #225 cancelled Clean Clean
2025-08-17 00:01 #83 cancelled Clean Clean
2025-07-13 21:37 #48 completed Clean Clean
2025-07-09 13:09 #3 cancelled Clean Clean
2025-07-08 04:23 #2 cancelled Biased Biased

Flagged Code Snippets

    PS C:\WINDOWS\system32> kubectl logs -n mynamesp1 cuda-sample2-db9vx
    Run "nbody -benchmark [-numbodies=<numBodies>]" to measure performance.
    ===========// CUT //===================// CUT //=====================
    > Windowed mode
    > Simulation data stored in video memory
    > Single precision floating point simulation
    > 1 Devices used for simulation
    GPU Device 0: "Turing" with compute capability 7.5
    
    > Compute 7.5 CUDA device: [Tesla T4]
    40960 bodies, total time for 10000 iterations: 170368.859 ms
    = 98.476 billion interactions per second
    = 1969.517 single-precision GFLOP/s at 20 flops per interaction
    PS C:\WINDOWS\system32>    
    
    Get-HcsGpuNvidiaSmi
    
    PS C:\WINDOWS\system32> kubectl get pods -n mynamesp1
    No resources found.
    
    PS C:\WINDOWS\system32> kubectl get pods -n mynamesp1
    NAME                 READY   STATUS    RESTARTS   AGE
    cuda-sample1-27srm   1/1     Running   0          70s
    cuda-sample2-db9vx   1/1     Running   0          69s
    PS C:\WINDOWS\system32>
    
    PS C:\WINDOWS\system32> kubectl get pods -n mynamesp1
    NAME                 READY   STATUS      RESTARTS   AGE
    cuda-sample1-27srm   0/1     Completed   0          2m54s
    cuda-sample2-db9vx   0/1     Completed   0          2m53s
    PS C:\WINDOWS\system32>
    
    [10.100.10.10]: PS>Start-HcsGpuMPS
    K8S-1HXQG13CL-1HXQG13:
    
    Set compute mode to EXCLUSIVE_PROCESS for GPU 00002C74:00:00.0.
    All done.
    Created nvidia-mps.service
    [10.100.10.10]: PS>    
    
    PS>Get-HcsGpuNvidiaSmi
    K8S-1HXQG13CL-1HXQG13:
    
    Mon Mar  3 21:54:50 2021
    +-----------------------------------------------------------------------------+
    | NVIDIA-SMI 460.32.03    Driver Version: 460.32.03    CUDA Version: 11.2     |
    |-------------------------------+----------------------+----------------------+
    | GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
    | Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
    |                               |                      |               MIG M. |
    |===============================+======================+======================|
    |   0  Tesla T4            On   | 0000E00B:00:00.0 Off |                    0 |
    | N/A   45C    P0    68W /  70W |    242MiB / 15109MiB |    100%   E. Process |
    |                               |                      |                  N/A |
    +-------------------------------+----------------------+----------------------+
    
    +-----------------------------------------------------------------------------+
    | Processes:                                                                  |
    |  GPU   GI   CI        PID   Type   Process name                  GPU Memory |
    |        ID   ID                                                   Usage      |
    |=============================================================================|
    |    0   N/A  N/A    144377    M+C   /tmp/nbody                        107MiB |
    |    0   N/A  N/A    144379    M+C   /tmp/nbody                        107MiB |
    |    0   N/A  N/A    144443      C   nvidia-cuda-mps-server             25MiB |
    +-----------------------------------------------------------------------------+
    
        PS C:\WINDOWS\system32> kubectl get pods -n mynamesp1
        NAME                 READY   STATUS      RESTARTS   AGE
        cuda-sample1-vcznt   0/1     Completed   0          5m44s
        cuda-sample2-zkx4w   0/1     Completed   0          5m44s
        PS C:\WINDOWS\system32> kubectl logs -n mynamesp1 cuda-sample1-vcznt
        Run "nbody -benchmark [-numbodies=<numBodies>]" to measure performance.
        ===========// CUT //===================// CUT //=====================    
        > Windowed mode
        > Simulation data stored in video memory
        > Single precision floating point simulation
        > 1 Devices used for simulation
        GPU Device 0: "Turing" with compute capability 7.5
        
        > Compute 7.5 CUDA device: [Tesla T4]
        40960 bodies, total time for 10000 iterations: 154979.453 ms
        = 108.254 billion interactions per second
        = 2165.089 single-precision GFLOP/s at 20 flops per interaction


        PS C:\WINDOWS\system32> kubectl logs -n mynamesp1 cuda-sample2-zkx4w
        Run "nbody -benchmark [-numbodies=<numBodies>]" to measure performance.
        ===========// CUT //===================// CUT //=====================
        > Windowed mode
        > Simulation data stored in video memory
        > Single precision floating point simulation
        > 1 Devices used for simulation
        GPU Device 0: "Turing" with compute capability 7.5
        
        > Compute 7.5 CUDA device: [Tesla T4]
        40960 bodies, total time for 10000 iterations: 154986.734 ms
        = 108.249 billion interactions per second
        = 2164.987 single-precision GFLOP/s at 20 flops per interaction
        PS C:\WINDOWS\system32>
    
    PS C:\WINDOWS\system32> kubectl get pods -n mynamesp1
    NAME                 READY   STATUS    RESTARTS   AGE
    cuda-sample1-27srm   1/1     Running   0          28s
    cuda-sample2-db9vx   1/1     Running   0          27s
    PS C:\WINDOWS\system32>
    
PS C:\WINDOWS\system32> kubectl delete -f 'C:\gpu-sharing\k8-gpusharing.yaml' -n mynamesp1
deployment.apps "cuda-sample1" deleted
deployment.apps "cuda-sample2" deleted
PS C:\WINDOWS\system32>

    [10.100.10.10]: PS>Get-HcsGpuNvidiaSmi
    K8S-1HXQG13CL-1HXQG13:
    
    Wed Mar  3 12:24:27 2021
    +-----------------------------------------------------------------------------+
    | NVIDIA-SMI 460.32.03    Driver Version: 460.32.03    CUDA Version: 11.2     |
    |-------------------------------+----------------------+----------------------+
    | GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
    | Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
    |                               |                      |               MIG M. |
    |===============================+======================+======================|
    |   0  Tesla T4            On   | 00002C74:00:00.0 Off |                    0 |
    | N/A   34C    P8     9W /  70W |      0MiB / 15109MiB |      0%      Default |
    |                               |                      |                  N/A |
    +-------------------------------+----------------------+----------------------+
    
    +-----------------------------------------------------------------------------+
    | Processes:                                                                  |
    |  GPU   GI   CI        PID   Type   Process name                  GPU Memory |
    |        ID   ID                                                   Usage      |
    |=============================================================================|
    |  No running processes found                                                 |
    +-----------------------------------------------------------------------------+
    [10.100.10.10]: PS> 
    
    PS C:\WINDOWS\system32> kubectl apply -f -n mynamesp1 C:\gpu-sharing\k8-gpusharing.yaml
    job.batch/cuda-sample1 created
    job.batch/cuda-sample2 created
    PS C:\WINDOWS\system32>
    
    PS C:\WINDOWS\system32> kubectl -n mynamesp1 describe job.batch/cuda-sample1;  kubectl -n mynamesp1 describe job.batch/cuda-sample2
    Name:           cuda-sample1
    Namespace:      mynamesp1
    Selector:       controller-uid=22783f76-6af1-490d-b6eb-67dd4cda0e1f
    Labels:         controller-uid=22783f76-6af1-490d-b6eb-67dd4cda0e1f
                    job-name=cuda-sample1
    Annotations:    kubectl.kubernetes.io/last-applied-configuration:
                      {"apiVersion":"batch/v1","kind":"Job","metadata":{"annotations":{},"name":"cuda-sample1","namespace":"mynamesp1"},"spec":{"backoffLimit":1...
    Parallelism:    1
    Completions:    1
    Start Time:     Wed, 03 Mar 2021 12:25:34 -0800
    Pods Statuses:  1 Running / 0 Succeeded / 0 Failed
    Pod Template:
      Labels:  controller-uid=22783f76-6af1-490d-b6eb-67dd4cda0e1f
               job-name=cuda-sample1
      Containers:
       cuda-sample-container1:
        Image:      nvidia/samples:nbody
        Port:       <none>
        Host Port:  <none>
        Command:
          /tmp/nbody
        Args:
          -benchmark
          -i=10000
        Environment:
          NVIDIA_VISIBLE_DEVICES:  0
        Mounts:                    <none>
      Volumes:                     <none>
    Events:
      Type    Reason            Age   From            Message
      ----    ------            ----  ----            -------
      Normal  SuccessfulCreate  60s   job-controller  Created pod: cuda-sample1-27srm
    Name:           cuda-sample2
    Namespace:      mynamesp1
    Selector:       controller-uid=e68c8d5a-718e-4880-b53f-26458dc24381
    Labels:         controller-uid=e68c8d5a-718e-4880-b53f-26458dc24381
                    job-name=cuda-sample2
    Annotations:    kubectl.kubernetes.io/last-applied-configuration:
                      {"apiVersion":"batch/v1","kind":"Job","metadata":{"annotations":{},"name":"cuda-sample2","namespace":"mynamesp1"},"spec":{"backoffLimit":1...
    Parallelism:    1
    Completions:    1
    Start Time:     Wed, 03 Mar 2021 12:25:35 -0800
    Pods Statuses:  1 Running / 0 Succeeded / 0 Failed
    Pod Template:
      Labels:  controller-uid=e68c8d5a-718e-4880-b53f-26458dc24381
               job-name=cuda-sample2
      Containers:
       cuda-sample-container2:
        Image:      nvidia/samples:nbody
        Port:       <none>
        Host Port:  <none>
        Command:
          /tmp/nbody
        Args:
          -benchmark
          -i=10000
        Environment:
          NVIDIA_VISIBLE_DEVICES:  0
        Mounts:                    <none>
      Volumes:                     <none>
    Events:
      Type    Reason            Age   From            Message
      ----    ------            ----  ----            -------
      Normal  SuccessfulCreate  60s   job-controller  Created pod: cuda-sample2-db9vx
    PS C:\WINDOWS\system32>
    
    [10.100.10.10]: PS>Get-HcsGpuNvidiaSmi
    K8S-1HXQG13CL-1HXQG13:
    
    Wed Mar  3 12:26:41 2021
    +-----------------------------------------------------------------------------+
    | NVIDIA-SMI 460.32.03    Driver Version: 460.32.03    CUDA Version: 11.2     |
    |-------------------------------+----------------------+----------------------+
    | GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
    | Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
    |                               |                      |               MIG M. |
    |===============================+======================+======================|
    |   0  Tesla T4            On   | 00002C74:00:00.0 Off |                    0 |
    | N/A   64C    P0    69W /  70W |    221MiB / 15109MiB |    100%      Default |
    |                               |                      |                  N/A |
    +-------------------------------+----------------------+----------------------+
    
    +-----------------------------------------------------------------------------+
    | Processes:                                                                  |
    |  GPU   GI   CI        PID   Type   Process name                  GPU Memory |
    |        ID   ID                                                   Usage      |
    |=============================================================================|
    |    0   N/A  N/A    197976      C   /tmp/nbody                        109MiB |
    |    0   N/A  N/A    198051      C   /tmp/nbody                        109MiB |
    +-----------------------------------------------------------------------------+
    [10.100.10.10]: PS>    
    
    PS C:\WINDOWS\system32> kubectl logs -n mynamesp1 cuda-sample1-27srm
    Run "nbody -benchmark [-numbodies=<numBodies>]" to measure performance.
    ===========// CUT //===================// CUT //=====================  
    > Windowed mode
    > Simulation data stored in video memory
    > Single precision floating point simulation
    > 1 Devices used for simulation
    GPU Device 0: "Turing" with compute capability 7.5
    
    > Compute 7.5 CUDA device: [Tesla T4]
    40960 bodies, total time for 10000 iterations: 170398.766 ms
    = 98.459 billion interactions per second
    = 1969.171 single-precision GFLOP/s at 20 flops per interaction
    PS C:\WINDOWS\system32>
    
    [10.100.10.10]: PS>Get-HcsGpuNvidiaSmi
    K8S-1HXQG13CL-1HXQG13:
    
    Wed Mar  3 12:32:52 2021
    +-----------------------------------------------------------------------------+
    | NVIDIA-SMI 460.32.03    Driver Version: 460.32.03    CUDA Version: 11.2     |
    |-------------------------------+----------------------+----------------------+
    | GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
    | Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
    |                               |                      |               MIG M. |
    |===============================+======================+======================|
    |   0  Tesla T4            On   | 00002C74:00:00.0 Off |                    0 |
    | N/A   38C    P8     9W /  70W |      0MiB / 15109MiB |      0%      Default |
    |                               |                      |                  N/A |
    +-------------------------------+----------------------+----------------------+
    
    +-----------------------------------------------------------------------------+
    | Processes:                                                                  |
    |  GPU   GI   CI        PID   Type   Process name                  GPU Memory |
    |        ID   ID                                                   Usage      |
    |=============================================================================|
    |  No running processes found                                                 |
    +-----------------------------------------------------------------------------+
    [10.100.10.10]: PS>
    
    PS C:\WINDOWS\system32> kubectl -n mynamesp1 delete -f C:\gpu-sharing\k8-gpusharing.yaml
    job.batch "cuda-sample1" deleted
    job.batch "cuda-sample2" deleted
    PS C:\WINDOWS\system32> kubectl get pods -n mynamesp1
    No resources found.
    PS C:\WINDOWS\system32> kubectl -n mynamesp1 apply -f C:\gpu-sharing\k8-gpusharing.yaml
    job.batch/cuda-sample1 created
    job.batch/cuda-sample2 created
    PS C:\WINDOWS\system32> kubectl get pods -n mynamesp1
    NAME                 READY   STATUS    RESTARTS   AGE
    cuda-sample1-vcznt   1/1     Running   0          21s
    cuda-sample2-zkx4w   1/1     Running   0          21s
    PS C:\WINDOWS\system32> kubectl -n mynamesp1 describe job.batch/cuda-sample1;  kubectl -n mynamesp1 describe job.batch/cuda-sample2
    Name:           cuda-sample1
    Namespace:      mynamesp1
    Selector:       controller-uid=ed06bdf0-a282-4b35-a2a0-c0d36303a35e
    Labels:         controller-uid=ed06bdf0-a282-4b35-a2a0-c0d36303a35e
                    job-name=cuda-sample1
    Annotations:    kubectl.kubernetes.io/last-applied-configuration:
                      {"apiVersion":"batch/v1","kind":"Job","metadata":{"annotations":{},"name":"cuda-sample1","namespace":"mynamesp1"},"spec":{"backoffLimit":1...
    Parallelism:    1
    Completions:    1
    Start Time:     Wed, 03 Mar 2021 21:51:51 -0800
    Pods Statuses:  1 Running / 0 Succeeded / 0 Failed
    Pod Template:
      Labels:  controller-uid=ed06bdf0-a282-4b35-a2a0-c0d36303a35e
               job-name=cuda-sample1
      Containers:
       cuda-sample-container1:
        Image:      nvidia/samples:nbody
        Port:       <none>
        Host Port:  <none>
        Command:
          /tmp/nbody
        Args:
          -benchmark
          -i=10000
        Environment:
          NVIDIA_VISIBLE_DEVICES:  0
        Mounts:                    <none>
      Volumes:                     <none>
    Events:
      Type    Reason            Age   From            Message
      ----    ------            ----  ----            -------
      Normal  SuccessfulCreate  46s   job-controller  Created pod: cuda-sample1-vcznt
    Name:           cuda-sample2
    Namespace:      mynamesp1
    Selector:       controller-uid=6282b8fa-e76d-4f45-aa85-653ee0212b29
    Labels:         controller-uid=6282b8fa-e76d-4f45-aa85-653ee0212b29
                    job-name=cuda-sample2
    Annotations:    kubectl.kubernetes.io/last-applied-configuration:
                      {"apiVersion":"batch/v1","kind":"Job","metadata":{"annotations":{},"name":"cuda-sample2","namespace":"mynamesp1"},"spec":{"backoffLimit":1...
    Parallelism:    1
    Completions:    1
    Start Time:     Wed, 03 Mar 2021 21:51:51 -0800
    Pods Statuses:  1 Running / 0 Succeeded / 0 Failed
    Pod Template:
      Labels:  controller-uid=6282b8fa-e76d-4f45-aa85-653ee0212b29
               job-name=cuda-sample2
      Containers:
       cuda-sample-container2:
        Image:      nvidia/samples:nbody
        Port:       <none>
        Host Port:  <none>
        Command:
          /tmp/nbody
        Args:
          -benchmark
          -i=10000
        Environment:
          NVIDIA_VISIBLE_DEVICES:  0
        Mounts:                    <none>
      Volumes:                     <none>
    Events:
      Type    Reason            Age   From            Message
      ----    ------            ----  ----            -------
      Normal  SuccessfulCreate  47s   job-controller  Created pod: cuda-sample2-zkx4w
    PS C:\WINDOWS\system32>
    
    PS>Get-HcsGpuNvidiaSmi
    K8S-1HXQG13CL-1HXQG13:
    
    Mon Mar  3 21:59:55 2021
    +-----------------------------------------------------------------------------+
    | NVIDIA-SMI 460.32.03    Driver Version: 460.32.03    CUDA Version: 11.2     |
    |-------------------------------+----------------------+----------------------+
    | GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
    | Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
    |                               |                      |               MIG M. |
    |===============================+======================+======================|
    |   0  Tesla T4            On   | 0000E00B:00:00.0 Off |                    0 |
    | N/A   37C    P8     9W /  70W |     28MiB / 15109MiB |      0%   E. Process |
    |                               |                      |                  N/A |
    +-------------------------------+----------------------+----------------------+
    
    +-----------------------------------------------------------------------------+
    | Processes:                                                                  |
    |  GPU   GI   CI        PID   Type   Process name                  GPU Memory |
    |        ID   ID                                                   Usage      |
    |=============================================================================|
    |    0   N/A  N/A    144443      C   nvidia-cuda-mps-server             25MiB |
    +-----------------------------------------------------------------------------+