Scaling Test-Time Inference: The Future of Edge AI Integration and Performance Enhancement
As artificial intelligence moves from centralized cloud systems to local edge environments, the focus has shifted to efficiently scaling inference during real-time AI processing. This approach enhances speed, privacy, and cost-effectiveness, allowing AI models to adjust their resource needs based on the tasks they’re handling. Industry leaders, like Qualcomm and NVIDIA, emphasize the growing importance ...
