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waveshare

waveshare Hailo-8 M.2 AI Accelerator Module, Compatible with Raspberry Pi 5, Supports Linux/Windows Systems, Based On The 26TOPS Hailo-8 AI Processor, Module Only

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Availability: In Stock.
Fulfilled by Amazon
Arrives Sunday, May 10
Order within 14 hours and 32 minutes
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Features

  • Powered by 26 Tera-Operations Per Second (TOPS) Hailo-8 AI Processor. 2.5W typical power consumption
  • Scalable, enabling simultaneous processing of multi-streams & multi-models
  • Enabling real-time, low latency and high-efficiency AI inferencing on the edge devices
  • Supports TensorFlow, TensorFlow Lite, ONNX, Keras, Pytorch frameworks
  • Supports Linux and Windows. Supports the temperature range of -40C to 85C
  • Rich WiKi Resources We provide official Wiki resources, please contact us for more information.

Brand: waveshare


Model Name: Hailo-8


Connectivity Technology: PCIe


Included Components: Hailo-8 AI M.2 Module ×1


Operating System: Linux, Windows


Connectivity Technology: PCIe


Operating System: Linux, Windows


Processor Brand: HAILO


Compatible Devices: Raspberry Pi 5


RAM Memory Technology: LPDDR4


Brand: waveshare


Model Name: Hailo-8


Built-In Media: Hailo-8 AI M.2 Module ×1


Model Number: Hailo-8


Mfr Part Number: Hailo-8


Manufacturer: Waveshare


Warranty Description: 1 year


Unit Count: 1.0 Count


Frequently asked questions

If you place your order now, the estimated arrival date for this product is: Sunday, May 10

Yes, absolutely! You may return this product for a full refund within 30 days of receiving it.

To initiate a return, please visit our Returns Center.

View our full returns policy here.

  • Klarna Financing
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  • Affirm Financing
  • Afterpay Financing
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  • Financing through Apple Pay
Leasing options through Acima may also be available during checkout.

Learn more about financing & leasing here.

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So far I am happy with this and Frigate. I was running BlueIris on a PC with a GTX1050 where inference times were around 120-175ms on my cameras. I wanted to switch to Frigate and use the GPU for something else. It's reporting 10-20ms inference times and is noticably faster on notifications. Thats even using the full 2k stream on 2 of my cameras and it identifies people much further away. I had read in forums that people were able to use this with a usb-c adapter but I wasn't able to get that working. I had to swap drives since the mini PC only had 1 nvme and 1 SATA m.2 slot, and this will only work in the nvme slot. Overall I'm happy with it so far. ... show more
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