FastDeploy has outstanding advantages in edge computing scenarios. It supports edge device deployments such as RK3588 and provides lightweight inference solutions, which are especially important for applications that require low latency and high energy efficiency. For example, in the field of smart security, developers can use FastDeploy to deploy PaddleDetection models on RK3588 devices for real-time face recognition and behavior detection; in industrial automation scenarios, quality inspection models can be deployed on edge devices.FastDeploy has made specific optimizations for these scenarios, including memory footprint control and real-time improvements, etc. Its cross-platform nature also allows for easy migration of the same model from edge devices to the cloud, a flexibility that gives it a distinct advantage in the edge AI space.
This answer comes from the articleFastDeploy: an open source tool for rapid deployment of AI modelsThe
