Raspberry Pi AI HAT+2 Expansion Board Module

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

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