Explore 9 AI terms in Edge Computing
An edge device is a hardware component that processes data at the edge of a network, close to the data source.
Edge TPU is a small, efficient chip designed by Google for running AI models at the edge of networks.
Fog computing extends cloud computing by processing data closer to the source, enhancing speed and reducing latency.
Jetson Orin is NVIDIA's advanced AI platform designed for robotics and edge computing.
Jetson Xavier is a powerful AI computing platform designed for autonomous machines and advanced robotics.
LocalAI refers to AI systems that run on local devices rather than in the cloud.
Microcontroller Edge AI refers to AI algorithms running on microcontrollers for localized, efficient processing.
On-Device AI refers to artificial intelligence processes that run directly on a device, rather than in the cloud.
TinyML refers to machine learning algorithms optimized to run on low-power devices with limited resources.