Document Details
Azure Stack Edge Gpu Deploy Iot Edge Gpu Sharing
❌
This page contains Windows bias
About This Page
This page is part of the Azure documentation. It contains code examples and configuration instructions for working with Azure services.
Bias Analysis
Bias Types:
⚠️
powershell_heavy
⚠️
windows_first
⚠️
missing_linux_example
⚠️
windows_tools
Summary:
The documentation page demonstrates a strong Windows bias. All command-line examples and device interactions are shown using PowerShell, with explicit references to Windows paths (e.g., C:\Users\<username>\.kube), and no Linux or cross-platform equivalents are provided. The instructions for connecting to the device, managing Kubernetes config files, and running kubectl commands are all shown from a Windows environment. There is no mention of how to perform these steps from a Linux or macOS client, nor are there any bash or shell examples. Windows-specific tools and patterns (such as PowerShell cmdlets and Windows directory structures) are used exclusively throughout the guide.
Recommendations:
- Provide equivalent Linux/macOS instructions and examples for all steps, including connecting to the device, managing Kubernetes config files, and running kubectl commands.
- Include bash or shell command examples alongside PowerShell examples, especially for kubectl and file operations.
- Mention Linux and macOS as supported client platforms where applicable, and link to any prerequisites or setup guides for those systems.
- Show Linux file paths (e.g., ~/.kube/config) in addition to Windows paths when instructing users where to save configuration files.
- If device management cmdlets are only available on Windows, explicitly state this limitation and, if possible, suggest alternatives for Linux/macOS users.
Create pull request
Scan History
| Date | Scan ID | Status | Bias Status |
|---|---|---|---|
| 2025-08-17 00:01 | #83 | in_progress | ✅ Clean |
| 2025-07-13 21:37 | #48 | completed | ❌ Biased |
| 2025-07-09 13:09 | #3 | cancelled | ✅ Clean |
| 2025-07-08 04:23 | #2 | cancelled | ❌ Biased |
Flagged Code Snippets
PS C:\WINDOWS\system32> kubectl -n iotedge --kubeconfig C:\GPU-sharing\kubeconfigs\configiotuser1 logs cuda-sample1-869989578c-ssng8 cuda-sample1
Run "nbody -benchmark [-numbodies=<numBodies>]" to measure performance.
==============// snipped //===================// snipped //=============
> 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: 170171.531 ms
= 98.590 billion interactions per second
= 1971.801 single-precision GFLOP/s at 20 flops per interaction
no-op
PS C:\WINDOWS\system32>
[10.100.10.10]: PS>Start-HcsGpuMPS
K8S-1HXQG13CL-1HXQG13:
Set compute mode to EXCLUSIVE_PROCESS for GPU 0000191E:00:00.0.
All done.
Created nvidia-mps.service
[10.100.10.10]: PS>
[10.100.10.10]: PS>Grant-HcsKubernetesNamespaceAccess -Namespace iotedge -UserName iotedgeuser
[10.100.10.10]: PS>
PS C:\WINDOWS\system32> kubectl get pods -n iotedge --kubeconfig C:\GPU-sharing\kubeconfigs\configiotuser1
NAME READY STATUS RESTARTS AGE
cuda-sample1-869989578c-ssng8 2/2 Running 0 5s
cuda-sample2-6db6d98689-d74kb 2/2 Running 0 4s
edgeagent-79f988968b-7p2tv 2/2 Running 0 6d21h
edgehub-d6c764847-l8v4m 2/2 Running 0 24h
iotedged-55fdb7b5c6-l9zn8 1/1 Running 1 6d21h
PS C:\WINDOWS\system32>
[10.100.10.10]: PS>Get-HcsGpuNvidiaSmi
K8S-1HXQG13CL-1HXQG13:
Thu Mar 4 12:59:44 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 54C P0 69W / 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 56832 M+C /tmp/nbody 107MiB |
| 0 N/A N/A 56900 M+C /tmp/nbody 107MiB |
| 0 N/A N/A 122792 C nvidia-cuda-mps-server 25MiB |
+-----------------------------------------------------------------------------+
[10.100.10.10]: PS>Get-HcsGpuNvidiaSmi