The convergence of test-time inference scaling and edge AI

As AI shifts from centralized clouds to distributed edge environments, the challenge is no longer just model training—it’s scaling inference efficiently. Test-time inference scaling is emerging as a critical enabler of real-time AI execution, allowing AI models to dynamically adjust compute resources at inference time based on task complexity, latency needs, and available hardware. This […]