The future of artificial intelligence requires a paradigm evolution. Centralized designs are reaching their limits, hampered by latency and throughput issues. This emphasizes the increasing need to decentralize intelligence, pushing processing power to the periphery. Edge platforms offer a attractive solution by bringing computation closer to sourc

The realm of artificial intelligence (AI) is rapidly adapting, with a surge in adoption for edge computing solutions. This paradigm shift enables real-time processing by deploying AI models directly on devices at the network's boundary. Harnessing the power of edge computing provides a myriad of benefits, including minimized delay, enhanced pr