Weekly Machine Learning Roundup: MLPerf on Azure GB200 v6
Machine learning developments focus on benchmarking language models using Azure AI hardware, with guides enabling reproducible testing for demanding workloads. Extending last week's coverage of benchmarking standards, practical instructions offer clear steps for real-world large-model testing.
Benchmarking Llama 2 70B and Llama 3.1 405B on Azure ND GB200 v6
A comprehensive guide explains benchmarking Llama 2 70B and Llama 3.1 405B models with MLPerf Inference v5.1 on Azure ND GB200 v6 VMs running NVIDIA Grace CPUs and Blackwell B200 GPUs. Detailed steps include VM setup, organizing data, repo cloning, and prepping the environment. Results show Llama 2 70B at 52,000 tokens/sec and Llama 3.1 405B at 847 tokens/sec on a single VM, matching global performance. Sample configurations and MLPerf orchestration enable repeatable evaluations for both research and production. These outcomes reinforce transparent processes and standards-based evaluation highlighted last week.