saving the cost of AI central servers and network bandwidth costs and significantly reducing the latency of applications.
providing edge-side intelligence services, incorporating network, computing, storage, and application as an open platform.
rapid deployment of AI models, adaptation of mainstream algorithm frameworks, and analysis and processing of collected data at the edge.
Ai edge servers perform data processing in real time and upload only structured data to the platform side, which can effectively combat network jitter and improve the overall robustness of the system and data security.