Any discussion of modern AI system performance must include MLCommons and its MLPerf benchmark suite, which has become the industry’s de facto standard for measuring machine learning performance. Since its debut in 2018, MLPerf has provided a neutral, peer-reviewed framework for comparing hardware and software platforms across a broad range of AI workloads. The original … Read more
America’s data centers managed to keep their electricity use surprisingly steady from 2005 to 2017, with rather small annual increments contained via constant improvement in electronics. Then, around 2017, AI arrived forcefully and disrupted that stability. AI required a different computing machine, one designed not for ordinary tasks, such as our beloved PC, but for … Read more
The saying “round pegs do not fit square holes” persists because it captures a deep engineering reality: inefficiency most often arises not from flawed components, but from misalignment between a system’s assumptions and the problem it is asked to solve. A square hole is not poorly made; it’s simply optimized for square pegs. Modern large … Read more