edgetpu
Dual-Edge-TPU-Adapter
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edgetpu | Dual-Edge-TPU-Adapter | |
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34 | 10 | |
397 | 235 | |
3.8% | - | |
2.7 | 1.2 | |
over 2 years ago | about 1 year ago | |
C++ | ||
Apache License 2.0 | - |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
edgetpu
- The Pixel 8 Pro's Tensor G3 off-loads all generative AI tasks to the cloud
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Chromebook Plus: more performance and AI capabilities
I know the tensor power pixelbook was shutdown and I never heard the actual reason just a bunch of speculation about costs/profitability which is probably true.
It's a shame that there isn't more competition and development in the neural asic world to harness the power of llms/generative AI on a low power, cheap hardware platform like the pixelbook line. For someone that invented the TPU they have done a not so great job of ensuring it's commercialization and support. Both on the hardware and software side.
The coral edge tpu seemed to be the right high level idea but without proper execution.
https://github.com/google-coral/edgetpu/issues/668
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Show HN: RISC-V core written in 600 lines of C89
> even in the 80s I wanted an FPGA accelerators in every machine
Mostly unrelated, but I recently discovered that you can buy TPUs, right now, as a consumer product, from https://coral.ai.
The stock firmware already allows you to run these things so hard they overheat, which is amazing.
But yes, I also want FPGA accelerators.
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Another PCIe A+E card in place of wifi in M900 tiny
I'm looking at the coral.ai cards and they have a M.2 A+E card, same form factor as the wifi slot in the m900 tiny. Has anyone tried another card in that slot other than wifi?
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Sony backs Raspberry Pi with fresh funding, access to A.I. chips
Chips optimized to perform the type of calculations used for NN inference at high parallelism. A good example would be the google spinoff https://coral.ai/ (though their usecase is highly limited by sub-par software constraints)
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Any ML accelarator chips?
By no means an expert, but I have seen prototypes using a raspberry pi and a dongle from Coral Ai. They have PCIE and USB based modules.
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Is Google coral getting abandoned
Last news on https://coral.ai/ was on May 5 2022
Activity on the github project seems to have stopped. https://github.com/google-coral
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Ask HN: Worth it to buy 4x Nvidia Tesla K40 for AI?
https://coral.ai/
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How do you effectively test accuracy of your software product?
Your problem statement still needs more clarification. If the above applies, the best way is to evaluate your ML-based pattern matcher on high-level scenarios. One approach to speed up the evaluation is to lift and shift the execution of scenarios into cloud. Another approach is to use an AI accelerator, such as http://coral.ai or other.
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Cluster AIs - low cost (lower performance) super/minicomputing
You probably could but not with raspis. Maybe the TPUs they sell. https://coral.ai/
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 Iām 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
What are some alternatives?
yolov7 - Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
neural-engine - Everything we actually know about the Apple Neural Engine (ANE)
scrypted - Scrypted is a high performance home video integration and automation platform
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.
frigate - NVR with realtime local object detection for IP cameras
m2-module-jh-block-logger - Instruments HTML output to enable tools such as https://github.com/WeareJH/m2-dev-tools
PINTO_model_zoo - A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.
pycoral - Python API for ML inferencing and transfer-learning on Coral devices
yolov7_d2 - š„š„š„š„ (Earlier YOLOv7 not official one) YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! š„š„š„
Virtualization-Documentation - Place to store our documentation, code samples, etc for public consumption.
homebridge-wyze-connected-home-op - Wyze Connected Home plugin for Homebridge with support for the Wyze Outdoor Plug
project-birdfeeder