想搞分布式LLM基准测试？NVIDIA这个srt-slurm框架让你用YAML写配置，一键跑SLURM，还能做参数扫描和Pareto分析，超实用。
本文介绍NVIDIA srt-slurm框架，使用srtctl将YAML声明式配置转换为可重复的SLURM基准工作流。在Google Colab中配置集群并运行内置与自定义配方。通过参数扫描和Pareto分析，建模分离预填充（prefill）和解码（decode）部署的性能权衡。
Validating Distributed LLM Serving Benchmarks with NVIDIA srt-slurm, SLURM Recipes, Parameter Sweeps, and Pareto Analysis
In this tutorial, we explore NVIDIA’s srt-slurm framework and learn how we use srtctl to convert declarative YAML configurations into reproducible SLURM benchmark workflows for distributed LLM serving. We set up the project in Google Colab, inspect its internal architecture, define a cluster configuration, dry-run built-in and custom recipes, and model a disaggregated prefill-and-decode deployment […] The post Validating Distributed LLM Serving Benchmarks with NVIDIA srt-slurm, SLURM Recipes, Parameter Sweeps, and Pareto Analysis appeared first on MarkTechPost .