Blog Archives

  Distributed AI – Could AI processing be faster? By Aditya Abeysinghe Distributed AI (Artificial Intelligence) is a field of AI where data processing is distributed across multiple nodes instead of processing at the source. A common issue with data analysis today is that it is difficult for a central processing source to process massive amounts of data generated by various types of sources. With distributed AI, processing of data is distributed using a system of nodes which can process synchronously and provide analyzed data. Patterns in Distributing AI processes Distributed AI is used in some systems to collect data from edge devices and then analyze it in the cloud by sending data between these devices and the cloud. AI models are trained in the cloud using data received from edge devices and then the output can be sent to the edge. This method of distributing AI processing using the ...