#Slurm

AI factories are power-limited systems that deliver maximum value when fully optimized. GPU workload placement is a key optimization.

Introducing Cedana The Problem AI and HPC infrastructure suffers from scarcity and high costs, so when failures happen they are costly in terms of time and money. Cluster productivity directly determines research output and revenue.…

If you work with HPC clusters, chances are you use slurm every day to submit jobs, monitor queues,...

NVIDIA GB200 NVL72 introduces a fundamentally new way to build GPU clusters by extending NVIDIA NVLink coherence across an entire rack.

When a job fails on an HPC cluster, your first instinct might be to rerun it and hope for a different...

Running Slurm in the cloud sounds simple at first: spin up some VMs, install Slurm, and start submitting jobs. In reality, cloud-based HPC introduces a different set of design decisions and trade-offs compared to on-prem clusters.…

Slurm is an open source cluster management and job scheduling system for Linux. It manages job scheduling for over 65% of TOP500 systems.

The NVIDIA GB200 NVL72 and NVIDIA GB300 NVL72 systems, featuring NVIDIA Blackwell architecture, are rack-scale supercomputers. They’re designed with 18 tightly…