Running Large-Scale GPU Workloads on Kubernetes with Slurm
Mirrored from NVIDIA Developer Blog for archival readability. Support the source by reading on the original site.
Slurm is an open source cluster management and job scheduling system for Linux. It manages job scheduling for over 65% of TOP500 systems. Most organizations...
Slurm is an open source cluster management and job scheduling system for Linux. It manages job scheduling for over 65% of TOP500 systems. Most organizations running large-scale AI training have years of investment in Slurm job scripts, fair-share policies, and accounting workflows. The challenge is getting Slurm scheduling capabilities onto Kubernetes—the standard platform for managing GPU…
More from NVIDIA Developer Blog
-
Serve Qwen3.8-2.4T-A95B, a 2.4T-Parameter Model, with Configurable Reasoning on NVIDIA GB300 NVL72
Aug 12
-
How to Choose Full-Stack Observability for NVIDIA AI Factories
Aug 12
-
NVIDIA JetPack 7.2.1 Adds Agentic Video Skills and T3000 Emulation
Aug 11
-
NVIDIA Nemotron 3.5 Lightning Delivers Fast, Accurate Specialized Task Execution for Long-Running Agents
Aug 11
Discussion (0)
Sign in to join the discussion. Free account, 30 seconds — email code or GitHub.
Sign in →No comments yet. Sign in and be the first to say something.