Module Hailo-8 M.2 AI Accelerator, 26TOPS dành cho Raspberry Pi 5

Module Hailo-8 M.2 AI Accelerator, 26TOPS dành cho Raspberry Pi 5

SKU:27812

Thương hiệu:HAILO

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6,368,000VND

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26TOPS Hailo-8 M.2 AI Accelerator Module

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Hailo-8 M.2 AI Accelerator Module, based on the 26TOPS Hailo-8 AI processor, suitable For Raspberry Pi 5

26TOPS Hailo-8 M.2 AI Accelerator Module

Name: Module Hailo-8 M.2 AI Accelerator, 26TOPS dành cho Raspberry Pi 5
Brand: HAILO
SKU: 27812
Price: 6368000 VND
Availability: InStock
Rating: 5 (1 reviews)

Hailo-8, front view

Hailo-8
The Hailo-8 AI M.2 module only

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 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 -40°C to 85°C

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

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.

Hailo-8 M.2 AI Accelerator Module, equipped with Hailo-8 AI Accelerator

Hailo-8 performance parameters

NN Model	mAP	Hailo-8L FPS (batch8)
yolov4_tiny	18.98	610
yolov6n	34.3	345
yolov7	49.8	45
yolox_s_wide	42.4	75
yolov3	38	26
yolov8n	37.23	270
yolov8s	44.75	128
yolov8m	50.08	55

Type	NN Model	Input Resolution	FPS	Power(W)	FPS/W
Classification	ResNet-50 v1	224x224	1332	3.45	386
	MobileNet_v2_1.0	224x224	2444	2.152	1135
	EfficientNet_M	240x240	889	3.5	254
Object Detection	SSD_MobileNet_v1	300x300	1055	2.2	479
Object Detection	YOLOv5m	640x640	218	4.6	47.3
Segmentation	stdc1	1024x1920	54	2.9	18.6
Multi stream object detection (8 streams)	YOLOv3	608x608	69	4.9	14