Beyond GPU Optimization: How Network Proximity Drives AI Agent Scale

As AI agents transition to production-scale distributed systems, the performance bottleneck shifts from GPU compute to network latency. Sequential API calls introduce 80ms+ round-trip delays that leave expensive inference hardware idle; physical proximity to enterprise APIs becomes the critical scaling factor.