As AI training runs grow longer and clusters scale to thousands of GPUs, reliability and operational consistency matter as much as performance. SUNK is CoreWeave’s production-ready training system built to run large-scale AI workloads without manual cluster tuning. With topology-aware scheduling, automated health management, and self-healing infrastructure, SUNK keeps long-running jobs efficient and resilient, even at frontier scale. CoreWeave Cloud. The Essential Cloud for AI.
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As AI research clusters
grow larger and training jobs run longer.
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reliability, goodput
and operational consistency matter
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as much as raw performance.
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But the last thing you want to do
is manually tweak a thousand-GPU cluster.
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That’s why CoreWeave built SUNK—
a production-ready, training first system
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that lets you confidently run large-scale
AI training without operational overhead.
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CoreWeave sunk brings cloud-native scale
and agility to AI training environments built for research.
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By optimizing job placement
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and automatically managing cluster health
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through CoreWeave Mission Control,
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SUNK keeps large, long running
training jobs predictable at scale.
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The results speak for themselves.
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Topology-aware scheduling and tuned
infrastructure delivers
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better efficiency over
comparative benchmarks.
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Production-grade reliability
keeps long-running
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training productive,
even in the face of hardware events.
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And when failures do happen,
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automated self-healing and re-queuing
gets your training job back on track—fast.
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CoreWeave customers can create
training-ready sunk clusters using guided,
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opinionated, self-service.
Or work with solutions
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architects to design custom environments
for frontier-scale training.
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Either way, you'll be running the industry
standard
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for resilient, large-scale
AI training workloads.
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CoreWeave Cloud
The Essential Cloud for AI.
