Raspberry Pi AI HAT+ 26 TOPS SC1791 Hailo-8 AI Accelerator for Raspberry Pi 5Description
The Raspberry Pi AI HAT+ 26 TOPS (SC1791) is an official AI accelerator expansion board for Raspberry Pi 5, powered by the advanced Hailo-8 neural processing unit. Delivering up to 26 TOPS of AI inferencing performance, this module enables fast and efficient edge AI processing for demanding computer vision and machine learning applications.
Designed for seamless integration with Raspberry Pi 5 through the PCIe Gen 3 interface, the AI HAT+ supports real-time AI workloads including object detection, image classification, pose estimation, semantic segmentation, facial recognition, and autonomous robotics applications.
Fully supported by Raspberry Pi OS and compatible with Raspberry Pi camera software, the HAT+ offers plug-and-play functionality while maintaining low power consumption and compact form factor.
Key Features
- Official Raspberry Pi AI HAT+ SC1791
- Integrated Hailo-8 AI accelerator
- Up to 26 TOPS AI inferencing performance
- Designed specifically for Raspberry Pi 5
- PCIe Gen 3 high-speed interface
- Native Raspberry Pi OS support
- Compatible with rpicam-apps and AI camera workflows
- Plug-and-play HAT+ design
- Compact and stackable form factor
- Includes mounting hardware and stacking header
Specifications
- Model: SC1791
- AI Processor: Hailo-8
- Performance: 26 TOPS
- Interface: PCIe Gen 3
- Form Factor: Raspberry Pi HAT+
- Dimensions: 65mm x 56.5mm
- Operating Temperature: 0°C to 50°C
- Compatibility: Raspberry Pi 5
- Production Availability: Guaranteed until at least January 2030
Applications
- Edge AI Computing
- Robotics & Autonomous Systems
- Smart Surveillance & Security
- Industrial Automation
- AI Vision Processing
- Smart Home Automation
- Object & Facial Recognition
- Machine Learning Development
Package Includes
- 1x Raspberry Pi AI HAT+ 26 TOPS SC1791
- 1x 16mm Stacking Header
- Mounting Spacers & Screws
Important Notes
- Compatible with Raspberry Pi 5 only
- Raspberry Pi board and accessories are not included
- Ensure adequate ventilation during operation
- Requires connection through Raspberry Pi 5 PCIe interface
