The Hidden GPU Latency: Why CPU Clocks Can't Measure True Kernel Performance

When launching GPU kernels asynchronously, CPU-side timers only measure job-queueing overhead, not actual computation time. For Go-based AI infrastructure, this measurement blind spot creates false performance metrics while masking real latency bottlenecks. Accurate optimization demands hardware-level CUDA Events that capture genuine GPU execution time.