MLCommons announced new results for its MLPerf Inference v5.0 benchmark suite, which delivers machine learning (ML) system performance benchmarking. The rorganization said the esults highlight that the AI community is focusing on generative AI, and that the combination of recent hardware and software advances optimized for generative AI have led to performance improvements over the past year.
To view the results, visit the Datacenter and Edge pages.
The MLPerf Inference benchmark suite, which encompasses datacenter and edge systems, is designed to measure how quickly systems can run AI and ML models across a variety of workloads. The open-source and peer-reviewed benchmark suite creates a level playing field for competition that drives innovation, performance, and energy efficiency for the entire industry.
It also provides critical technical information for customers who are procuring and tuning AI systems. This round of MLPerf Inference results also includes tests for four new benchmarks: Llama 3.1 405B, Llama 2 70B Interactive for low-latency applications, RGAT, and Automotive PointPainting for 3D object detection.
Source: https://insideainews.com/
