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Features of 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 processing of multi-streams & multi-models. - Enables real-time, low latency and high-efficiency AI inferencing on edge devices. - Supports TensorFlow, TensorFlow Lite, ONNX, Keras, Pytorch frameworks. - Supports Linux and Windows. - Supports temperature range of -40°C to 85°C.
Features of PCIe To M.2 adapter: - Onboard power monitoring chip and EEPROM for real-time monitoring of device power status. - Raspberry Pi HAT+ compliant. - Reserved airflow vent for installing cooling fan to improve heat dissipation and performance of AI module. - Immersion gold process design for anti-oxidation and durability.
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 to 22×42mm and 22×60mm
Package contents: 1. Hailo-8 AI M.2 Module x1 2. PCIe TO M.2 HAT+ x1 3. Standoff pack x1 4. 16P-Cable-40mm x1 5. 2*20 Pin header x1
product information:
Attribute | Value |
---|---|
brand | TUOPUONE |
item_model_number | Hailo-8 Acce A |
item_weight | 1.41 ounces |
color | Hailo-8 Acce A |
manufacturer | TUOPUONE |
country_of_origin | China |
date_first_available | July 11, 2024 |
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