Ai-on-the-edge-device
Die 10 besten Produkte von Dezember 2025
Letzte Aktualisierung:
10. Dezember 2025
Independently published
Edge AI : Pocket Knowledge Graphs on user device
98
MAXIMALE QUALITÄT
AUF AMAZON ANSEHEN
Amazon.de
#1 GEWINNER
Waveshare
Waveshare Hailo-8 M.2 AI Accelerator Module with PCIe to M.2 Adapter Board for Raspberry Pi 5, Based On The 26TOPS Hailo-8 AI Processor, Compatible with Linux/Windows Systems
97
BESTE QUALITÄT
AUF AMAZON ANSEHEN
Amazon.de
#2
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Hailo-8 M.2 module + PCIe TO M.2 adapter and accessories. Connecting To PI5 Via 16PIN Cable-Based On 16PIN PCIe Interface Of Pi 5
Tailored For Raspberry Pi 5-Standard Raspberry Pi 40PIN Header, Comes With 2*20 Pin Header For Stacking With Other HATs. Compact Size, More Space-Saving, Supports Installing Cooling Fan
Reserved Airflow Vent For Cooling Fan-Can Be Used Together With The Pi5 Active Cooler B(NOT Included) To Achieve Better Heat Dissipation Effect For The Pi5 And AI Accelerator Module, Keeping It Cool Even Under Heavy Processing And Maximizing The Module Performance
Onboard Power Monitoring Chip And EEPROM-Real-Time Monitoring Of Device Power Status For More Stable Operation
Applied In The Al Field-Generative Al On PC, ITS/Perimeter Security/Access Control, Industrial Automation, Smart Retail
249,99 € AUF AMAZON
Independently published
Edge AI with Raspberry Pi: Deploy Machine Learning Models on IoT Devices
92
TOP QUALITÄT
AUF AMAZON ANSEHEN
Amazon.de
#3
Independently published
On-Device AI: Private Personalization at Scale: A practical handbook for building fast, private, and useful AI experiences on phones, laptops, and edge devices
88
HOHE QUALITÄT
AUF AMAZON ANSEHEN
Amazon.de
#4
Independently published
Edge AI for Everyone: AI at the Device Level: Deploy neural networks on phones, Raspberry Pi, and edge devices – no cloud required
85
SICHERE QUALITÄT
AUF AMAZON ANSEHEN
Amazon.de
#5
Independently published
ESP32-CAM EDGE AI PROJECTS (Vision Systems): The Hands-On Guide to Building IoT Surveillance, Face Recognition, and Object Detection with Arduino IDE and TinyML
80
GUTE QUALITÄT
AUF AMAZON ANSEHEN
Amazon.de
#6
Independently published
ON-DEVICE AI WITH ONNX: 35 Projects for Edge Inference Optimization
78
GUTE QUALITÄT
AUF AMAZON ANSEHEN
Amazon.de
#7
Independently published
ZEPHYR RTOS ADVANCED PROJECTS: 15 Hands-On Projects with Zephyr RTOS for IoT, Edge AI, and Embedded Systems
77
GUTE QUALITÄT
AUF AMAZON ANSEHEN
Amazon.de
#8
Independently published
Edge AI & Edge Computing: Enabling Fast, Local, and Intelligent Decisions Across Connected Devices and Distributed Systems
73
GUTE QUALITÄT
AUF AMAZON ANSEHEN
Amazon.de
#9
BPB Publications
Hands-on TinyML: Harness the power of Machine Learning on the edge devices (English Edition)
67
GUTE QUALITÄT
AUF AMAZON ANSEHEN
Amazon.de
#10
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