Edge computing requires increasingly intensive workloads for computer vision and other artificial intelligence tasks, making it increasingly important to move Deep Learning workloads from the cloud to the edge. Running AI applications at the edge ensures real-time inferencing, data privacy, and low latency for smart city, smart retail, Industry 4.0, and many other applications across various markets.

UP Bridge the Gap edge platforms pair the latest Intel processors with the Hailo-8 AI Module to increase on-device inference and execution speed of AI models. Reallocating the computing resource of AI-based tasks from the CPU/GPU to the Hailo-8 neural processing unit (NPU) providesflexibility and possibilities for edge computing applications.

The Hailo-8 M.2 AI Module delivers 26 tera-operations per second (TOPS) at a record-breaking average rate of 2.5 watt. This means developers can run sophisticated Deep Learning and computer vision applications at the edge while keeping power consumption at an minimum.

“This partnership with Hailo benefits our clients even further with their growing demand for AI applications that run quickly and efficiently at the edge,” said Owen Wei, Business Development Manager at AAEON. “AAEON is committed to providing customers exceptional computing performance for their everyday business needs. Hailo helps us bolster our offering while enabling a future powered at the edge.”