Asus focuses on edge AI for smart cities

Asus has presented its strategy for integrating edge AI into smart cities, with a timeline set for 2026. The company is focusing on developing solutions that allow data processing directly at the collection point, reducing reliance on the cloud and improving system responsiveness.

The edge AI approach is particularly relevant for smart urban applications, where low latency and data protection are critical. Sensors, cameras, and other IoT devices can process information in real time, making immediate decisions without having to send the data to a remote server.

For those evaluating on-premise deployments, there are trade-offs to consider. AI-RADAR offers analytical frameworks on /llm-onpremise to evaluate these aspects.