SUNK: Scale AI Training Without Breaking Your Infrastructure

What you’ll learn in this on-demand session

At today's scale, managing AI training across disconnected Slurm and Kubernetes environments creates overhead that slows model progress and reduces GPU utilization. In this 30-minute briefing, we explored how CoreWeave's SUNK eliminates the research-to-production gap - and how SUNK Anywhere extends that unified operating model across on-prem, hybrid, and cloud environments.

We covered: 

• Why fragmented research and production infrastructure breaks down at scale
• How SUNK delivers a unified way to run demanding AI workloads
• How guided self-service deployment supports faster, more standardized cluster bring-up
• How SUNK Anywhere extends the same training system across infrastructure environments
• When teams should evaluate SUNK for their workloads