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Achieving Peak System and Workload Efficiency on NVIDIA GB200 NVL72 with Slurm Block Scheduling

NVIDIA Developer Blog · published 7 May 2026

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https://www.nvidia.com/en-us/data-center/gb200-nvl72/

nvidia.com

https://www.nvidia.com/en-us/data-center/nvlink/

nvidia.com

https://slurm.schedmd.com/overview.html

slurm.schedmd.com

https://www.nvidia.com/en-us/data-center/technologies/blackwell-architecture/

nvidia.com

Unlock Exascale Performance on NVIDIA GB200 NVL72 with Slurm Topology-Aware Job Scheduling Read at the source ↗

developer.nvidia.com

https://docs.nvidia.com/nemo/megatron-bridge/latest/parallelisms.html

docs.nvidia.com

https://slurm.schedmd.com/srun.html

slurm.schedmd.com

https://slurm.schedmd.com/topology.yaml.html

slurm.schedmd.com

https://docs.nvidia.com/networking/display/infinibandclusterbringupprocedure/setting+the+infiniband+cluster+topology

docs.nvidia.com

https://slurm.schedmd.com/cli_filter_plugins.html

slurm.schedmd.com

https://docs.nvidia.com/multi-node-nvlink-systems/imex-guide/overview.html

docs.nvidia.com

https://docs.nvidia.com/multi-node-nvlink-systems/imex-guide/imexchannels.html

docs.nvidia.com

https://slurm.schedmd.com/

slurm.schedmd.com

https://docs.nvidia.com/

docs.nvidia.com