MLCommons, an artificial intelligence engineering consortium, has unveiled a new series of tests and outcomes, evaluating the performance of hardware in handling AI tasks and catering to user interactions.
The latest benchmarks, introduced on Wednesday specifically gauge the efficiency of AI chips and systems in processing data-rich models to produce swift responses.
The findings offer valuable insights into the speed at which AI applications like ChatGPT can deliver responses to user inquiries.