Raspberry Pi AI HAT+ 2: Bringing Dedicated AI Processing to the Raspberry Pi 5
The Raspberry Pi Foundation has partnered with Hailo to release the AI HAT+ 2, an expansion board designed to significantly boost AI processing capabilities on the Raspberry Pi 5. This HAT (Hardware Attached on Top) adds a dedicated Neural Processing Unit (NPU), opening up new possibilities for AI-powered projects within the Raspberry Pi ecosystem.
Key Features & Performance:
The AI HAT+ 2 utilizes the Hailo-10H NPU,delivering up to 40 TOPS (Tera Operations Per Second) of performance with INT4 precision. This dedicated hardware offloads AI inference tasks from the Raspberry Pi 5’s CPU and GPU, resulting in faster processing and reduced power consumption. The board includes 8GB of internal memory, preventing AI workloads from impacting the Raspberry Pi’s limited RAM.
Benefits of a Dedicated NPU:
Employing a discrete NPU like the Hailo-10H offers substantial advantages for AI applications. it excels at tasks such as image analysis, object detection, and neural network processing, performing these operations more efficiently than general-purpose CPUs or GPUs. This translates to quicker response times and lower energy usage – crucial for embedded and edge computing applications.
Compatibility & Installation:
The AI HAT+ 2 adheres to standard Raspberry Pi HAT specifications, mounting via screws and connecting through the GPIO header and, crucially, the PCIe lane. This PCIe requirement means the AI HAT+ 2 is exclusively compatible with the Raspberry Pi 5. It is indeed not compatible with earlier Raspberry Pi models.
Installation is remarkably straightforward. Raspberry Pi OS automatically recognizes the HAT, offering true plug-and-play functionality. Users can begin developing and deploying AI applications without needing complex configuration procedures.
Pricing and Availability:
The Raspberry Pi AI HAT+ 2 is currently available for around USD $130 (approximately IDR 2.1 million as of January 2026). this expansion board provides a cost-effective way to add significant AI processing power to the Raspberry Pi 5, making it suitable for a wide range of applications in education, hobbyist projects, and light industrial settings.
Further Facts:
date:2026-01-18 21:31:00