Hailo-8 AI acceleration in an M.2 module
The Hailo-8 M.2 AI Acceleration Module brings dedicated neural network processing to a host system with a compatible M.2 slot. Part number HM218B1C2LAE identifies the 2280 B+M Key extended-temperature module. Its Hailo-8 processor provides up to 26 TOPS of AI performance for on-device inference, allowing applications to process camera and sensor data close to where it is captured.
The module uses a PCIe Gen 3 x2 host interface. It is designed for edge applications that need low-latency inference without relying on cloud processing for every AI task. Hailo’s architecture supports multiple neural network models and data streams, making the module suitable for computer vision pipelines that combine tasks such as detection, classification and tracking.
Integration and software
The 2280 board measures 22 × 80 mm and uses an M.2 B+M Key connector. Before selecting it for a host, check the slot’s PCIe lane support, available board space, software support and thermal design. A physically matching M.2 slot does not, by itself, confirm electrical compatibility.
Hailo’s software suite includes the Dataflow Compiler for preparing trained models, HailoRT for running inference, and development resources for building edge AI applications. Supported development frameworks include TensorFlow, TensorFlow Lite, Keras, PyTorch and ONNX. Hailo lists x86 and Arm host architectures and Linux and Windows operating systems for the module family.
Applications
- Multi-camera video analytics and smart surveillance
- Industrial visual inspection and defect detection
- Object detection and image classification
- Retail analytics and occupancy monitoring
- AI-enabled embedded computers and edge gateways
