Weight: 0.034 kg
Official Raspberry Pi AI HAT+, Build-in Hailo-8 AI Accelerator To Quickly Build A Wide Range Of AI-powered Applications, Options for 13 TOPS / 26 TOPS
Raspberry Pi AI HAT+
High-performance AI HAT Designed By Raspberry Pi
Suitable for Raspberry Pi 5, Options for 13 TOPS / 26 TOPS
Version options
Raspberry Pi AI HAT+ (13T)
13 TOPS
Raspberry Pi AI HAT+ (26T)
26 TOPS
Specifications
Model | Raspberry Pi AI HAT+ (13T) | Raspberry Pi AI HAT+ (26T) |
---|---|---|
Neural network accelerator | Hailo-8L | Hailo-8 |
AI performance (INT8) | 13 TOPS | 26 TOPS |
Frameworks | Support TensorFlow, TensorFlow Lite, ONNX, Keras, PyTorch | |
OS Support | Raspberry Pi OS latest version | |
software support | Fully integrated into Raspberry Pi's camera software stack | |
host support | Raspberry Pi 5 | |
Operating temperature | 0℃ ~ 50℃ (ambient) | |
Dimensions | 56.5(W) × 65(L) × 5.5(H) (mm) | |
PCIe interface | Compatible with Raspberry Pi 5 PCIe Gen 3 interface | |
HAT standard | Conforms to Raspberry Pi HAT+ specification |
Board specifications
The Raspberry Pi AI HAT+ is an add-on board with a built-in Hailo AI accelerator designed for Raspberry Pi 5. It provides an accessible, cost-effective, and power-efficient way to integrate high-performance AI. It's suited to everything from entry-level applications to more complex neural processing, with the ability to process multiple concurrent models and AI tasks. Explore applications including process control, security, home automation, and robotics.
The AI HAT+ is available in 13 or 26 TOPS variants, built around the Hailo-8L and Hailo-8 neural network inference accelerators. The 13 TOPS variant capably runs neural networks for applications including object detection, semantic and instance segmentation, pose estimation, and more. The 26 TOPS variant can handle larger networks, can run them more quickly, and can more effectively run multiple networks simultaneously.
The AI HAT+ communicates using Raspberry Pi 5's PCIe Gen 3 interface. It automatically detects the onboard Hailo accelerator and makes the NPU available for AI computing tasks. The built-in rpicam-apps camera applications in Raspberry Pi OS natively support the AI module, automatically using the NPU to run compatible post-processing tasks.
Key features include:
Build a model world
With support for common frameworks like TensorFlow and PyTorch, the Raspberry Pi AI HAT+ allows you to build a wide range of AI-powered applications for process control, home automation, research, and more.
Camera stacked
The Raspberry Pi AI HAT+ is fully integrated into Raspberry Pi's camera software stack, taking advantage of the neural network accelerator to run post-processing tasks such as object detection, image segmentation, and pose estimation.
how to install
* for reference only, the Raspberry Pi 5 is NOT included.
Product show
* for reference only, the Raspberry Pi 5 is NOT included.
outline dimensions
Resources & Services
Wiki: www.waveshare.com/wiki/Raspberry_Pi_AI_HAT+
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