The cluster cutover trades scheduled GPU capacity against proving tenant isolation under failover.
Opening the cluster protects committed training schedules, while holding it protects shared file system boundaries.
Who you’d be doing this for
“My training window is booked, and I can’t move our checkpoint data onto a cluster with an unanswered isolation question.”
Njoroge Barasa · ML Engineer
Runs distributed training jobs that need shared datasets and checkpoints on the new GPU cluster.
What is at stake
A failover test exposed a possible cross-tenant RDMA path before 2,000 GPUs receive scheduled workloads. You must weigh cluster availability against evidence strong enough to commit an irreversible network change.
Why it isn’t already fixed
Every obvious fix costs something else. That’s the part you’d have to decide.
- GPU capacity commitments vs tenant isolation proof
- fast SDN containment vs systemic network correction
- flow telemetry vs packet-level evidence
- cutover momentum vs reversible recovery
Why Crusoe
The RDMA storage network carries shared file system traffic for GPU clusters where a tenant-boundary failure compromises both data trust and available compute.
Written with these in mind
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This is the setup. The work is inside.
Running it puts you in the room: the full situation and its constraints, stakeholders who push back in their own words, and the decisions that are yours to make. What you produce becomes a Day One Plan — work you can show someone instead of describing.