The landscape of artificial intelligence continues to shift at an unprecedented pace. Traditionally, AI resided in centralized data centers. This created hurdles for widespread adoption, as it demanded substantial computational resources. However, the emergence of edge AI solutions is disrupting the paradigm. By bringing AI processing directly to t

The landscape of artificial intelligence transcending rapidly, driven by the emergence of edge computing. Traditionally, AI workloads relied on centralized data centers for processing power. However, this paradigm is changing as edge AI takes center stage. Edge AI refers to deploying AI algorithms directly on devices at the network's periphery, ena