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Unlock Exascale Performance on NVIDIA GB200 NVL72 with Slurm Topology-Aware Job Scheduling

NVIDIA Technical Blog 3 信息等级 3 1 噪音/剔除;2 较弱;3 普通事实;4 重要行业动态;5 极重大事件。该分数是信息显著性,不是投资建议。 发布:2026-05-21T18:18 抓取:2026-05-21 22:13
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摘要

NVIDIA发布技术博客,介绍使用Slurm拓扑感知作业调度,以充分发挥GB200 NVL72机架的Exascale计算性能,支持实时万亿参数模型。

客观事实
  • NVIDIA GB200 NVL72单机架实现Exascale计算
  • 共享集群需拓扑感知调度器以发挥硬件性能
  • Slurm调度器可优化GB200 NVL72上的作业放置
NVIDIA GB200 NVL72 Slurm

原文

As AI models grow in scale and complexity, realizing the full performance of modern accelerated infrastructure depends as much on how workloads are placed as on...As AI models grow in scale and complexity, realizing the full performance of modern accelerated infrastructure depends as much on how workloads are placed as on the hardware itself. NVIDIA GB200 NVL72 delivers exascale compute in a single rack, unlocking real-time trillion-parameter models. Yet capturing that performance in a shared cluster requires schedulers that understand the system…

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