Latency
What is Latency?
Latency, also known as response delay, refers to the time it takes for data to travel from a device to a server and back. In Edge AI, low latency ensures real-time decision-making by processing data closer to the source rather than relying solely on cloud computing.
Latency is the measurable delay between a user’s action or data input and the system’s response. In Edge AI, it quantifies how quickly an edge device can process and act on data without relying on distant cloud servers.
Why Is It Used?
Edge AI systems leverage low latency to enable real-time analytics, automated responses, and faster processing, which are critical for IoT, autonomous devices, and smart infrastructure.
How Is It Used?
Real-time decision-making: Autonomous vehicles, industrial automation, and surveillance cameras
Optimized data flow: Reduces unnecessary cloud communication
Enhanced user experience: Smooth operations in smart devices and applications
Types of Latency
Network Latency: Delay caused by data transmission across networks
Processing Latency: Delay in computation at the device or edge server
Application Latency: Delay introduced by software or algorithms
Benefits of Latency
Faster response times for AI-enabled devices
Reduced bandwidth usage and cloud dependency
Improved reliability in mission-critical systems
Enhanced real-time analytics for IoT and smart infrastructure