Raspberry Pi AI HAT+2 Expansion Board Module
- Sold by 1 shop · checked today
- 8 similar products, from EGP 12,000
What the shops say
From Makers Electronics's listing
Description
Raspberry Pi AI HAT+2 Expansion Board Module Raspberry Pi AI HAT+ 2 Expansion Board Module is a high-performance generative AI accelerator designed for Raspberry Pi 5, built around the Hailo-10H neural processing unit delivering up to 40 TOPS of INT4 inference performance. It includes 8GB of dedicated onboard memory, enabling efficient local execution of large language models and vision-language models without relying on cloud services. The module supports low-latency, on-device AI processing, improving speed, privacy, and data security for edge computing applications. It is designed for seamless integration with Raspberry Pi OS and existing AI frameworks, allowing easy deployment of machine learning workloads. With its optimized architecture, it enhances real-time performance for robotics, computer vision, and smart automation projects while keeping power usage efficient for embedded systems. Features • Provides powerful on-device AI acceleration using the Hailo-10H neural processing unit for efficient edge computing performance. • Delivers up to 40 TOPS of inference performance, enabling fast execution of advanced AI models and workloads. • Includes 8GB dedicated onboard memory, allowing smooth operation of large language models and vision-language models locally. • Enables generative AI capabilities on Raspberry Pi 5, supporting modern AI applications beyond traditional vision tasks. • Supports low-latency edge processing, improving real-time responsiveness for robotics, automation, and smart systems. • Ensures data privacy and offline operation by processing AI tasks locally without requiring cloud connectivity. • Integrates with Raspberry Pi OS and AI software frameworks, enabling easy deployment of AI models and applications. • Designed for efficient power usage in embedded systems, making it suitable for continuous AI workloads in compact projects. Specifications Parameter: Value Product Name: Raspberry Pi AI HAT+ 2 Expansion Board Module AI Accelerator: Hailo-10H Neural Processing Unit AI Performance: Up to 40 TOPS (INT4 inference performance) Onboard Memory: 8GB dedicated RAM for AI workloads Target Platform: Raspberry Pi 5 Interface: PCIe connection for high-speed AI processing Primary Function: Generative AI, edge AI inference, vision-language models Supported AI Types: Large Language Models (LLMs), Vision-Language Models (VLMs) Operating Mode: Fully local edge processing (no cloud required) Software Support: Raspberry Pi OS AI stack and supported ML frameworks Power Efficiency: Optimized for low-power embedded AI workloads Board Type: HAT+ expansion board compliant with Raspberry Pi standard Cooling Support: Compatible with heatsink and thermal management accessories Physical Dimensions: Approx. 66 mm × 56.5 mm Operating Temperature: 0°C to 50°C Dimensions All Dimensions in mm Pin Configuration Pin Number | Pin Name | Function / Description 1 | 3V3 | 3.3V Power Supply 2 | 5V | 5V Power Input 3 | GPIO2 (SDA1) | I2C1 Data line (HAT ID / communication) 4 | 5V | 5V Power Input 5 | GPIO3 (SCL1) | I2C1 Clock line (HAT ID / communication) 6 | GND | Ground 7 | GPIO4 | General Purpose I/O 8 | GPIO14 (TXD0) | UART Transmit 9 | GND | Ground 10 | GPIO15 (RXD0) | UART Receive 11 | GPIO17 | General Purpose I/O 12 | GPIO18 | PWM / General Purpose I/O 13 | GPIO27 | General Purpose I/O 14 | GND | Ground 15 | GPIO22 | General Purpose I/O 16 | GPIO23 | General Purpose I/O 17 | 3V3 | 3.3V Power Supply 18 | GPIO24 | General Purpose I/O 19 | GPIO10 (MOSI) | SPI0 MOSI 20 | GND | Ground 21 | GPIO9 (MISO) | SPI0 MISO 22 | GPIO25 | General Purpose I/O 23 | GPIO11 (SCLK) | SPI0 Clock 24 | GPIO8 (CE0) | SPI Chip Enable 0 25 | GND | Ground 26 | GPIO7 (CE1) | SPI Chip Enable 1 27 | GPIO0 (ID_SD) | HAT EEPROM / ID I2C 28 | GPIO1 (ID_SC) | HAT EEPROM / ID I2C 29 | GPIO5 | General Purpose I/O 30 | GND | Ground 31 | GPIO6 | General Purpose I/O 32 | GPIO12 | PWM / General Purpose I/O 33 | GPIO13 | PWM / General Purpose I/O 34 | GND | Ground 35 | GPIO19 | PWM / SPI/ALT function 36 | GPIO16 | General Purpose I/O 37 | GPIO26 | General Purpose I/O 38 | GPIO20 | General Purpose I/O 39 | GND | Ground 40 | GPIO21 | General Purpose I/O Applications • Real-time object detection and scene understanding using camera-based AI processing. • Vision-language applications such as image description and smart visual assistants. • Large language model (LLM) inference directly on-device for offline AI chat and assistants. • Smart robotics control systems with AI-powered perception and decision-making. • Industrial automation and process monitoring using edge AI analytics. • Security and surveillance systems with local video analysis and motion detection. • Smart home automation with AI-driven sensing, recognition, and control. • Speech-to-text and voice assistant applications running fully offline. • Intelligent IoT edge devices that reduce cloud dependency and latency. • Research and prototyping for generative AI and machine learning at the edge. Package Contents • 1 x Raspberry Pi AI HAT+2 Expansion Board Module Documents • Raspberry Pi AI HAT+ Datasheet • Raspberry Pi AI HAT+ Documentation
Read moreShow less
Specifications
- Interface
- PCIe connection for high-speed AI processing
- Board Type
- HAT+ expansion board compliant with Raspberry Pi standard
- Product Name
- Raspberry Pi AI HAT+ 2 Expansion Board Module
- AI Accelerator
- Hailo-10H Neural Processing Unit
- AI Performance
- Up to 40 TOPS (INT4 inference performance)
- Onboard Memory
- 8GB dedicated RAM for AI workloads
- Operating Mode
- Fully local edge processing (no cloud required)
- Cooling Support
- Compatible with heatsink and thermal management accessories
- Target Platform
- Raspberry Pi 5
- Power Efficiency
- Optimized for low-power embedded AI workloads
- Primary Function
- Generative AI, edge AI inference, vision-language models
- Software Support
- Raspberry Pi OS AI stack and supported ML frameworks
- Supported AI Types
- Large Language Models (LLMs), Vision-Language Models (VLMs)
- Physical Dimensions
- Approx. 66 mm × 56.5 mm
- Operating Temperature
- 0°C to 50°C
Similar products
- NVIDIA® JETSON NANO 2GB Developer Kit With Wireless AdapterEGP 12,5001 shopchecked 17 days ago
iCEstick FPGA Evaluation Kit – iCE40HX1K USB BoardEGP 12,5001 shopPrice may be out of date (76 days)
NVIDIA Jetson Nano 2GB Developer KitEGP 12,5001 shopPrice may be out of date (76 days)
LattePanda Alpha 800s Tiny Ultimate Windows / Linux DeviceEGP 12,0001 shopchecked 15 days ago
Raspberry Pi 5 Model B – 8GB RAM – Made in UKEGP 13,5001 shopchecked 27 days ago
Raspberry Pi 5 Model 8GBEGP 13,5001 shopPrice may be out of date (76 days)
Raspberry Pi 5 Computer Model B – 8GB RAM – Made in UKEGP 13,5001 shopchecked 29 days ago
Cyber:bot Robot Kit – with Micro:BitEGP 13,7501 shopchecked 27 days ago





