Dual-Edge-TPU-Adapter
Virtualization-Documentation
Dual-Edge-TPU-Adapter | Virtualization-Documentation | |
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10 | 6 | |
235 | 1,766 | |
- | 0.8% | |
1.2 | 8.5 | |
about 1 year ago | 8 days ago | |
PowerShell | ||
- | Creative Commons Attribution 4.0 |
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Dual-Edge-TPU-Adapter
- Google Coral TPU
- Did someone succeed install Dual edge TPU?
- Ultra popular Linus Tech Tips abruptly drops their sponsor, Eufy Home Security Cameras, when it's revealed that Eufy has been secretly uploading images of the home owner, despite explicitly stating that the product only stores images locally.
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5 PCIe devices on 10-12th gen mITX board?
M.2 Slot 4.0 x4 > This adapter that supports dual-bus E Key M.2 E Key dual Coral TPU
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About to try the Google Coral Dual TPU (just half for now, waiting for the proper adapter to arrive)
The Coral Dual TPU uses both the lines of the E-key standard, but everything else just uses one. So basically every E-key slot can only use half of it. the adapter that I’m waiting is handmade from a guy just for this module. THIS GUY
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M.2 E-Key to M-Key Adaptor with 2 PCIe Lanes for Dual Coral edge TPU?
while currently it is not in stock, this project provides various adapters for the dual coral (including a pcie adapter: https://github.com/magic-blue-smoke/Dual-Edge-TPU-Adapter)
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Meet Mr. Big: 4TB SSD (2TB useable), 12.5Gbps, 288TB Disk storage (215TB useable), 32 cores
Get in on this: https://github.com/magic-blue-smoke/Dual-Edge-TPU-Adapter
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Adding PCIe "Bifurcation" to an old Dell R720XD
Someone is trying to do this with these pcie-switch chips if you want to get on a waiting list for the adapter. Now I want to know if these pcie-switch chips can be chained...
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ML at the edge - Google Coral ML PCIe Accelerator and Server 2022 Hyper-V DDA
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
Virtualization-Documentation
- Different Graphics Card Virtualization
- Performance hit when enabling Hyper-V on Windows 11 Guest.
- Some ponderings on DDA on Windows 10/11 Pro
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ML at the edge - Google Coral ML PCIe Accelerator and Server 2022 Hyper-V DDA
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
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Apple ranks embarrassingly low and barely makes the top 20 in the Open Source Contributors Index. It's placed lower than NVidia, a company infamous for their lack of open source support.
All this ranking shows is that Microsoft uses github to document non-open source software.
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HOW TO: Activating Windows Server SKUs and Hyper-V VMs with AVMA.
Another method I haven't tried:Make a template VHD by running Convert-WindowsImage.ps1 on the evaluation ISO and then use DISM offline servicing to convert the edition to retail. You might even be able to preinstall the AMVA key afterward.
What are some alternatives?
edgetpu - Coral issue tracker (and legacy Edge TPU API source)
darwin-xnu - Legacy mirror of Darwin Kernel. Replaced by https://github.com/apple-oss-distributions/xnu
neural-engine - Everything we actually know about the Apple Neural Engine (ANE)
OSCI - Open Source Contributor Index
Apple-Silicon-Guide - Apple Silicon Guide. Learn all about the A17 Pro, A16 Bionic, R1, M1-series, M2-series, and M3-series chips. Along with all the Devices, Operating Systems, Tools, Gaming, and Software that Apple Silicon powers.
m2-module-jh-block-logger - Instruments HTML output to enable tools such as https://github.com/WeareJH/m2-dev-tools
pycoral - Python API for ML inferencing and transfer-learning on Coral devices
project-birdfeeder
openmiko - Open source firmware for Ingenic T20 based devices such as WyzeCam V2, Xiaomi Xiaofang 1S, iSmartAlarm's Spot+ and others.
tiny-training - On-Device Training Under 256KB Memory [NeurIPS'22]
frigate - NVR with realtime local object detection for IP cameras