AI推理加速演进：云计算的变迁抉择

Core Insights - The trend in AI development is shifting from training to inference, with a significant increase in demand for small models tailored for specific applications, which is impacting the cloud computing market [1][2][3] Group 1: AI Inference Market - The market for AI inference is expected to exceed the training market by more than ten times in the future, as companies recognize the potential of deploying small models for vertical applications [1] - Akamai's AI inference services have demonstrated a threefold increase in throughput and a 60% reduction in latency, highlighting the efficiency of their solutions [2] Group 2: Edge Computing and Deployment - Edge-native applications are becoming a crucial growth point in cloud computing, with Akamai's distributed architecture covering over 4,200 edge nodes globally, providing end-to-end latency as low as 10 milliseconds [3] - The proximity of inference to end-users enhances user experience and efficiency, addressing concerns such as data sovereignty and privacy protection [3] Group 3: Industry Trends and Client Needs - Many companies are now focusing on optimizing inference capabilities, as previous investments were primarily in model training, leading to a gap in readiness for inference [2] - There is a growing trend among Chinese enterprises to integrate AI inference capabilities into their international operations, particularly in sectors like business travel [5]