Document Details

Azure Stack Edge Gpu Modify Fpga Modules Gpu
Home / Scan #2 / Azure Stack Edge Gpu Modify Fpga Modules Gpu
Sad Tux - Windows bias detected
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.
GitHub View on GitHub 📚 View on Microsoft Learn

Bias Analysis

Detected Bias Types
windows_tools
windows_first
powershell_heavy
Summary
The documentation demonstrates some Windows bias by referencing the PowerShell interface as a primary method for querying module status and IP addresses, without providing equivalent Linux CLI examples. The mention of 'Connect to the PowerShell interface' appears before any alternative, and no Linux-native commands or tools are suggested for these management tasks. The rest of the documentation is largely OS-agnostic, focusing on Docker/Kubernetes JSON configurations, but the management and troubleshooting guidance leans toward Windows/PowerShell.
Recommendations
  • Provide Linux CLI (e.g., bash) equivalents for all PowerShell-based instructions, especially for querying module status and IP addresses.
  • When referencing management interfaces, mention both Windows (PowerShell) and Linux (bash/CLI) options together, or list Linux first if the device is recommended to run Linux.
  • Include example commands using standard Linux tools (e.g., kubectl, iotedge CLI) for monitoring and troubleshooting modules.
  • Clarify that the PowerShell interface is optional and provide guidance for users who may not have access to Windows environments.
  • Audit other sections for subtle Windows-first language or assumptions, and ensure parity in tooling and examples.
GitHub Create Pull Request

Scan History

Date Scan Status Result
2026-01-14 00:00 #250 in_progress Clean Clean
2026-01-13 00:00 #246 completed Clean Clean
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 Biased Biased
2025-07-09 13:09 #3 cancelled Clean Clean
2025-07-08 04:23 #2 cancelled Biased Biased

Flagged Code Snippets

{
  "HostConfig": 
  {
   "Binds": 
    [
     "<Host storage path for Edge local share>:<Module storage path>"
    ]
   }
}

However, to query the IP address assigned to your module, you can use the Kubernetes dashboard as described in [Get IP address for services or modules](azure-stack-edge-gpu-monitor-kubernetes-dashboard.md#get-ip-address-for-services-or-modules). 

Alternatively, you can [Connect to the PowerShell interface of the device](azure-stack-edge-gpu-connect-powershell-interface.md#connect-to-the-powershell-interface) and use the `iotedge` list command to list all the modules running on your device. The [Command output](azure-stack-edge-gpu-connect-powershell-interface.md#debug-kubernetes-issues-related-to-iot-edge) will also indicate the external IPs associated with the module.


## Resource usage 

With the Kubernetes-based IoT Edge setups on GPU devices, the resources such as hardware acceleration, memory, and CPU requirements are specified differently than on the FPGA devices. 

#### Compute acceleration usage

To deploy modules on FPGA, use the container create options <!--with Device Bindings--> as shown in the following config: <!--not sure where are device bindings in this config-->