Edge AI

AI processing executed directly on endpoint devices (e.g., IoT sensors, smart cameras), eliminating cloud latency for real-time action.

Edge AI shifts machine learning inference from the centralized cloud to the network's edge: devices like autonomous vehicles and industrial IoT sensors. This localized processing cuts network latency to near-zero, enabling sub-millisecond decision-making critical for safety systems and predictive maintenance. Specific advantages include enhanced data privacy (keeping sensitive data local for compliance) and reduced bandwidth costs, as only insights, not raw data, are transmitted. The technology leverages specialized hardware (like NVIDIA Jetson) to run lightweight models, ensuring high-speed, reliable operation even with intermittent connectivity.

https://www.splunk.com/en_us/data-insider/what-is-edge-ai.html