SUNK: A Unified System for Production-Grade AI Training

SUNK Unified AI Training at Scale | CoreWeave Solution Brief

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SUNK (Slurm on Kubernetes) redefines the modern AI research cluster by unifying scheduling, reliability, and observability into a single production-grade training system. In this solution brief, you’ll learn how SUNK enables: Up to 96% training goodput to maximize productive GPU time 97–98% effective training time (ETTR) across multi-day runs 10× longer mean time to failure (MTTF) for thousand-GPU clusters Unified Slurm and Kubernetes workflows on the same underlying cluster Built-in observability and automated recovery through CoreWeave Mission Control

Free researchers to focus on model progress, not infrastructure coordination. See how SUNK delivers predictable performance, deep operational visibility, and simplified lifecycle management. Download the Solution Brief now.

Explore how SUNK unifies Slurm and Kubernetes to power production-grade AI training with high goodput, deep observability, and built-in reliability.

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