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Features At A Glance

• Hailo-8 AI M.2 module
• 
  
• Powered by 26 Tera-Operations Per Second (TOPS) Hailo-8 AI Processor
• 2.5W typical power consumption
• Scalable,enabling simultaneous processingof 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 -40°C to 85°C
• PCIe To M.2 adapter
• 
  
• Onboard power monitoring chip and EEPROM, supports real-time monitoring of device power status for more stable operation
• Raspberry Pi HAT+ compliant
• Reserved airflow vent, supports installing cooling fan for better heat dissipation of the AI module to improve performance
• Immersion gold process design, anti-oxidation and more durable

Hailo-8 AI M.2 Module Parameters
AI performance: 26 TOPS
Form Factor: M.2 Key M
Power supply: 3.3V ± 5%
Power consumption: 2.5W (Typ.) 8.65W (Max.)
Interface: PCIe Gen3, 4-lane
Certificate: CE, FCC Class A
Storage temperature: -40 ~ 85°C
Operating temperature: -40 ~ 85°C
Operating humidity: 5% ~ 90%RH (no frosting)
Dimensions: 22×80mm with breakable extensions to22×42mmand 22×60mm


Equipped with Hailo-8 AI Accelerator to Step Up Your Edge Product Performance
The Hailo-8 M.2 module is an AI accelerator module for AI
applications, based on the 26 tera-operations per second (TOPS) Hailo-8
AI processor with high power efficiency. The M.2 AI accelerator features
a full PCIe Gen-3.0 4-lane interface, delivering unprecedented AI
performance for edge devices.


The M.2 module can be plugged into an existing edge device with
M.2 socket to provide low-power deep neural network inferencing.
Leveraging Hailo’s comprehensive Dataflow Compiler and its support for
standard AI frameworks, customers can easily port their Neural Network
models to the Hailo-8 and introduce high-performance AI products to the
market quickly.




Package Dimensions ‏ : ‎ 10.21 x 7.49 x 3.2 cm; 41 g
Date First Available ‏ : ‎ 14 Jun. 2025
Manufacturer ‏ : ‎ UNISTORM
ASIN ‏ : ‎ B0FBFTW5QJ
Item model number ‏ : ‎ Hailo-8
Guaranteed software updates until ‏ : ‎ unknown
Best Sellers Rank: 124,590 in Computers & Accessories (See Top 100 in Computers & Accessories) 13,740 in Components & Replacement Parts
Customer reviews: 4.3 4.3 out of 5 stars 5 ratings var dpAcrHasRegisteredArcLinkClickAction; P.when(‘A’, ‘ready’).execute(function(A) { if (dpAcrHasRegisteredArcLinkClickAction !== true) { dpAcrHasRegisteredArcLinkClickAction = true; A.declarative( ‘acrLink-click-metrics’, ‘click’, { “allowLinkDefault”: true }, function (event) { if (window.ue) { ue.count(“acrLinkClickCount”, (ue.count(“acrLinkClickCount”) || 0) + 1); } } ); } }); P.when(‘A’, ‘cf’).execute(function(A) { A.declarative(‘acrStarsLink-click-metrics’, ‘click’, { “allowLinkDefault” : true }, function(event){ if(window.ue) { ue.count(“acrStarsLinkWithPopoverClickCount”, (ue.count(“acrStarsLinkWithPopoverClickCount”) || 0) + 1); } }); });
Powered by 26 Tera-Operations Per Second (TOPS) Hailo-8 AI Processor.
2.5W typical power consumption
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.

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