Unlock AI capabilities with the Raspberry Pi AI HAT 13 TOPS accelerator board for Raspberry Pi 5. Transform your projects with 13 TOPS of processing power, perfect for advanced machine learning applications.
Transform Your Raspberry Pi 5 with Advanced AI Capabilities
The Raspberry Pi AI HAT 13 TOPS represents a significant advancement in embedded AI processing for the Raspberry Pi ecosystem. This hardware accelerator adds 13 TOPS (Tera Operations Per Second) of dedicated AI processing power to your Raspberry Pi 5, enabling complex machine learning operations at unprecedented speeds.
Technical Specifications
| Specification | Detail |
|---|---|
| Processing Power | 13 TOPS (Tera Operations Per Second) |
| Base Platform | Hailo 8L accelerator architecture |
| Physical Dimensions | 56.7mm(W) × 65.1mm(L) × 5.5mm(H) |
| Installation Method | 16mm stacking header with spacers/screws |
| Weight | 16g (board only) |
Enhanced AI Processing Capabilities
Building upon the Hailo 8L accelerator architecture, this HAT enables efficient processing of neural networks and complex AI models. The dedicated hardware acceleration supports a wide range of machine learning frameworks, making it suitable for computer vision, natural language processing, and real-time AI applications.
Installation and Compatibility
The AI HAT integrates seamlessly with the Raspberry Pi 5 through a 16mm stacking header system. The included spacers and screws ensure proper mounting while maintaining compatibility with the Raspberry Pi 5's active cooling solution. This mechanical design ensures optimal thermal management during intensive AI processing tasks.
Applications in Machine Learning
This accelerator board opens new possibilities in embedded AI applications, including:
- Real-time image recognition and object detection
- Natural language processing systems
- Edge computing applications
- Autonomous control systems
- Smart IoT device implementations
Development Resources
The Raspberry Pi AI HAT 13 TOPS supports popular machine learning frameworks and development tools. Developers can leverage existing AI models while benefiting from the hardware acceleration capabilities, making it an ideal platform for both learning and implementing advanced AI concepts.
