The landscape of artificial intelligence continues to shift at an unprecedented pace. Traditionally, AI resided in centralized data centers. This model presented barriers for widespread adoption, as it demanded substantial computational resources. However, the emergence of edge AI solutions is shattering these constraints. By bringing AI processing

The landscape of artificial intelligence is shifting rapidly, driven by the emergence of edge computing. Traditionally, AI workloads relied on centralized data centers for processing power. However, this paradigm is evolving as edge AI emerges as a key player. Edge AI represents deploying AI algorithms directly on devices at the network's frontier,