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Raspberry Pi Ai Hat+ 26 Tops, Hailo-8 Accelerator

Die 10 besten Produkte von Dezember 2025
Letzte Aktualisierung: 9. Dezember 2025
Waveshare
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
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98

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AUF AMAZON ANSEHEN
Amazon.de
#1 GEWINNER

  • 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
Raspberry Pi
Raspberry Pi
Raspberry Pi AI HAT+ 13 Tops, Hailo-8 Accelerator
31% Rabatt Kostenloser Versand
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98

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AUF AMAZON ANSEHEN
Amazon.de
#2

  • Direkt auf PCB integriertes Hailo-Modul
  • 13 TOPS bei Hailo-8 Unterstützung
  • Echtzeit-Erkennung für Gesichter und Objekte
  • Geringe Latenz und niedriger Stromverbrauch
  • Ideal für Machine Vision und AI-Edge-Computing
  • 86,16 € AUF AMAZON
Waveshare
Waveshare
Waveshare Hailo-8 M.2 AI Accelerator Module for Raspberry Pi 5, Based On The 26TOPS Hailo-8 AI Processor, Compatible with Linux/Windows Systems
Kostenloser Versand
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92

TOP QUALITÄT

AUF AMAZON ANSEHEN
Amazon.de
#3

  • The Hailo-8 AI M.2 module only. 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
  • 239,99 € AUF AMAZON
Geekworm
Geekworm
Geekworm X1005 Dual NVMe SSD Shield Bottom for Raspberry Pi 5, Supports Hailo-8 AI Accelerator
Kostenloser Versand
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90

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Amazon.de
#4

  • 【Compatibility】Raspberry Pi 5 Dual NVMe Hat only compatible with Raspberry Pi 5, Model: X1005
  • 【Support Dual M2 NVMe SSD with multiple length】Support M.2 KEY-M NVMe SSD 2230/2242/2260/2280 length installation. Comes with SSD copper pillar for 2230/2242/2260 SSD installation
  • 【 Raspberry Pi 5 AI Hat Extension】 Supports Hailo AI acceleration module built around the Hailo-8L chip from Raspberry Pi AI Kit
  • 【 Support NVMe Boot】 Supports NVMe boot with eeprom 2024/05/17 and later version
  • 【How to Power】 5Vdc +/-5% power via GPIO pin header and FFC, converted to 3.3V max 3A to power the SSD; Recommend to use Geekworm PD 27W power adapter (ASIN:B0CP8SRXSC) or (ASIN:B0CZCZF2QV)
  • 【Packing List】1 x X1005 PCIe Peripheral Board, 2x 37mm PCIe FFC Cable(One as backup), 1x Screws Pack
  • 【Matching Case (NOT include)】Refer to P580-V2 Case (ASIN: B0D99HVX3C). NOT compatible with P580!
  • 38,00 € AUF AMAZON
Yahboom
Yahboom
Yahboom Hailo-8L AI Acceleration Module,13 Tops Computing Power,Supports Official Active Radiator,Compatible with RPi-5 (Hailo-8L 13T AI HAT+ Official Kit)
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88

HOHE QUALITÄT

AUF AMAZON ANSEHEN
Amazon.de
#5

  • Powerful and efficient edge AI acceleration chip: Hailo AI chip has 13TOPS or 26TOPS high-performance AI architecture; typical power consumption is 2.5W; supports multiple data streams, multiple neural networks and multi-chip stacking.
  • Supports installation of radiator: The official M.2 HAT+ PCIe to M.2 SSD expansion board supports the installation of the official active radiator. The Yahboom M.2 HAT+ PCIe to M.2 SSD expansion board can be stacked on the back and is compatible with various radiator installations.
  • Efficient AI reasoning architecture: Complete tool chain helps deep neural network models to be deployed quickly and efficiently, using distributed computing and more than 30 patent certifications
  • Building environment and operating environment: seamless integration with existing deep learning architecture, more than 100 kinds of general free models, AI computing performance through effective use of neural network core resources; pre-trained templates, combined with AI tasks and complete data path applications; real-time runtime library, intuitive API (C/C++/Python)
  • Hailo's powerful and scalable AI technology enables new features in various market sectors and is widely used in smart cities, assisted driving, industrial fields and digital products.
  • 109,99 € AUF AMAZON
Waveshare
Waveshare
Waveshare AI Acce D Kit for Raspberry Pi 5, with 26 Tops Computing Power Official Raspberry Pi AI HAT+(26T), 8MP IMX219-77 Camera, 27W Power Supply, 64GB TF Card, HDMI to Micro HDMI Cable, Cooler,etc
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82

SICHERE QUALITÄT

AUF AMAZON ANSEHEN
Amazon.de
#6

  • This accessory package includes 26 TOPS computing power Official Raspberry Pi AI HAT+ (26T), 8MP IMX219-77 Camera, 27W power supply, 64GB TF card, HDMI to Micro HDMI cable, Raspberry Pi 5 active cooler, card reader, and Ethernet cable
  • Suitable for applications that require AI function
  • Compatible with Raspberry Pi 5-2GB(NOT included)
  • Compatible with Raspberry Pi 5-4GB(NOT included)
  • Compatible with Raspberry Pi 5-8GB(NOT included)
  • 204,99 € AUF AMAZON
LUCKFOX
LUCKFOX
LUCKFOX-Pico,with Pre-soldered Header-RV1103 Linux Micro Development Board,with ARM Cortex-A7/RISC-V MCU/NPU/ISP,16Bit DRAM DDR2,Support GPIO,UART,SPI,I2C,USB,with Camera Interface&Micro TF Card Slot
Kostenloser Versand
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79

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AUF AMAZON ANSEHEN
Amazon.de
#7

  • [Powerful Processing Capability] LUCKFOX-Pico-M(with pre-soldered header) is equipped with a highly integrated IPC vision processor SoC, RV1103 chip, featuring a single-core ARM Cortex-A7 32-bit core with integrated NEON and FPU. With a built-in NPU supporting INT4/INT8/INT16 mixed operations, it delivers a remarkable computing power of up to 0.5TOPs
  • [Advanced Image Processing] The Development Board features a new hardware-based ISP that supports a range of Algorithm Accelerator, including HDR, 3A, LSC, 3DNR, 2DNR, sharpening, and gamma correction. This enables enhanced image quality and correction, making it ideal for various AI-related applications.(The Self-developed third-generation ISP3.2 supports 4 megapixels with multiple image enhancement and correction algorithms such as HDR, WDR, and multi-level noise reduction)
  • [High-performance Encoding] LUCKFOX Pico offers powerful encoding performance with intelligent encoding mode and adaptive stream saving for optimized bit rate. By saving more than 50% of bit rate compared to conventional CBR mode, it ensures high-definition images with smaller file sizes, effectively doubling the storage space
  • [Versatile Application Scenarios] This Development Board is designed for a wide range of applications, such as smart home devices, industrial automation devices, robots and drones, intelligent surveillance devices, intelligent transportation devices, and intelligent medical devices. Its versatility makes it suitable for various AI application scenarios
  • [Developer-Friendly] LUCKFOX Pico supports multiple interfaces, including GPIO, UART, SPI, I2C, USB, etc., enabling developers to carry out rapid development and debugging. With built-in 16-bit DRAM DDR2, POR, audio codecs, MAC PHY, and RISC-V MCU, it ensures efficient memory bandwidth, streamlined functionality, and low power consumption
  • 13,99 € AUF AMAZON
Raspberry Pi
Raspberry Pi
Raspberry Pi® AI HAT+ (26 Tops) Erweiterungs-Platine
Kostenloser Versand
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77

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AUF AMAZON ANSEHEN
Amazon.de
#8

  • Inferenzleistung bis zu 26 TOPS für KI-Anwendungen
  • Echtzeit-Gesichts-, Objekt- und Spracherkennung
  • Ideal für Machine-Vision und Edge-KI
  • M.2-Steckplatz für flexiblen Modulwechsel
  • Geringer Energieverbrauch, niedrige Latenz
  • 137,42 € AUF AMAZON
Yahboom
Yahboom
Yahboom Hailo-8 AI Acceleration Module,26 Tops Computing Power,HAT+ Official Kit,Compatible with RPi-5, Supports Linux/Windows Systems(Hailo-8 26T AI HAT+ Official Kit)
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71

GUTE QUALITÄT

AUF AMAZON ANSEHEN
Amazon.de
#9

  • Powerful and efficient edge AI acceleration chip: Hailo AI chip has 13TOPS or 26TOPS high-performance AI architecture; typical power consumption is 2.5W; supports multiple data streams, multiple neural networks and multi-chip stacking.
  • Supports installation of radiator: The official M.2 HAT+ PCIe to M.2 SSD expansion board supports the installation of the official active radiator. The Yahboom M.2 HAT+ PCIe to M.2 SSD expansion board can be stacked on the back and is compatible with various radiator installations.
  • Efficient AI reasoning architecture: Complete tool chain helps deep neural network models to be deployed quickly and efficiently, using distributed computing and more than 30 patent certifications
  • Building environment and operating environment: seamless integration with existing deep learning architecture, more than 100 kinds of general free models, AI computing performance through effective use of neural network core resources; pre-trained templates, combined with AI tasks and complete data path applications; real-time runtime library, intuitive API (C/C++/Python)
  • Hailo's powerful and scalable AI technology enables new features in various market sectors and is widely used in smart cities, assisted driving, industrial fields and digital products.
  • 218,99 € AUF AMAZON
Raspberry Pi
Raspberry Pi
Raspberry Pi Accelerator dual Edge TPU, SC1438  
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66

GUTE QUALITÄT

AUF AMAZON ANSEHEN
Amazon.de
#10

  • Leistungsstark mit Hailo-8 und 26 TOPS
  • Echtzeit-Gesichts- und Objekterkennung
  • Niedrige Latenz für schnelle Prozesse
  • Hailo-8L Modul über M.2-Steckplatz
  • Ideal für Machine-Vision-Anwendungen
  • 155,80 € AUF AMAZON
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