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:
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
제공자: CoreWeave, Inc. | 재생 시간: 30:00 | 언어: 영어