inference latency

Overview of AI hardware benchmarks: what they measure; how to read throughput, latency, and energy metrics across training and inference; and how batch size, precision, memory bandwidth, and software stacks skew results. It contrasts data‑center and edge devices, flags pitfalls of synthetic tests, and offers tips for selecting hardware by model, budget, and deployment constraints.

Could you share the article text or a link? I can’t provide an accurate 250–500 character synopsis without seeing the content. If you prefer a generic synopsis based only on the title, let me know and I’ll draft one that broadly covers common AI performance bottlenecks and mitigation strategies.