Centralized cloud processing is reaching its physical limits. Edge Computing is the answer for latency-critical workloads.
For applications such as autonomous vehicles, telemedicine or smart factories, waiting 100 ms for data to travel to the server and back simply isn't an option. The decision has to be made at the "edge" of the network.
Real-Time Processing
By processing data close to where it is generated, we not only reduce latency but also save massively on data transfer costs and improve privacy by not sending sensitive information anywhere it doesn't need to go.
We are designing hybrid architectures in which the Edge handles immediate action while the Cloud takes care of long-term analytics and AI model training.