Latency

AI spending in Asia Pacific faces challenges in ROI due to infrastructure limitations hindering speed and scale. Akamai, partnering with NVIDIA, addresses this with “Inference Cloud,” decentralizing AI decision-making for reduced latency and costs. Enterprises struggle to scale AI projects, with inference now the primary bottleneck. Edge infrastructure enhances performance and cost-efficiency, especially for latency-sensitive applications. Key sectors adopting edge-based AI include retail and finance. Cloud and GPU partnerships are crucial for meeting expanding AI workload demands, with security as a vital component. Future AI infrastructure will require distributed management and robust security.