ML at the edge - Google Coral ML PCIe Accelerator and Server 2022 Hyper-V DDA

This page summarizes the projects mentioned and recommended in the original post on /r/HyperV
coral-tpu edge-ai tpu-acceleration tpu-benchmarks tpu

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  • Virtualization-Documentation

    Place to store our documentation, code samples, etc for public consumption.

    • You're totally right on the Graphics Adapters and NVMe Storage Devices... That's why I was thinking maybe a community Wiki would be nice to document what does actually work. I've had luck with USB 3.0 cards and non-supported graphics cards in lab environments. This script is very helpful for checking what is compatible with DDA: https://github.com/MicrosoftDocs/Virtualization-Documentation/blob/live/hyperv-tools/DiscreteDeviceAssignment/SurveyDDA.ps1

  • Dual-Edge-TPU-Adapter

    Dual Edge TPU Adapter to use it on a system with single PCIe port on m.2 A/B/E/M slot

    • Thanks so much for replying! Is the DDA working reliably? For some reason the Amazon links are not going through... I'm looking at picking up one of these too as my R530 doesn't support bifurcation: https://github.com/magic-blue-smoke/Dual-Edge-TPU-Adapter

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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