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GPFS/Spectrum Scale Daemon Stalls: Token Contention, Quorum Loss, Deadlocks

When mmfsd degrades. Token-manager overload, quorum loss, or internal deadlock. Mounts stall cluster-wide and training processes block in D-state on I/O. Jobs neither progress nor die, mimicking silent hangs.

Quick answer

When mmfsd degrades. Token-manager overload, quorum loss, or internal deadlock. Mounts stall cluster-wide and training processes block in D-state on I/O.

Infrastructure#gpfs#spectrum-scale#mmfsd#token-manager#quorum#d-state

What this failure is

GPFS/Spectrum Scale Daemon Stalls: Token Contention, Quorum Loss, Deadlocks is a Infrastructure failure seen during ML training runs. When mmfsd degrades. Token-manager overload, quorum loss, or internal deadlock. Mounts stall cluster-wide and training processes block in D-state on I/O. Jobs neither progress nor die, mimicking silent hangs. Common tags: Gpfs, Spectrum Scale, Mmfsd, Token Manager.

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Why it happens (the mechanism)

Token server overload from many clients writing one fileset. Network partition between quorum nodes. ESS/NSD server failures. Taken together, these mechanisms explain why the failure is reproducible, why it tends to surface on specific workloads or scales, and why generic mitigation attempts often fall short without addressing the underlying cause.

What you'll observe

  • all ranks blocked in uninterruptible sleep on read/write to GPFS paths
  • mmfsd assert/panic entries in mmfs.log.latest
  • checkpoint saves time out fleet-wide simultaneously

Common symptoms and what they mean

SymptomWhy it happens
mmgetstate -a shows down/arbitrating nodestoken server overload from many clients writing one fileset
mmdiag --deadlock reports waitersnetwork partition between quorum nodes
token revoke storms on shared filesetsESS/NSD server failures

Which systems are affected

  • HPC clusters on Spectrum Scale
  • shared dataset filesets with cross-node write sharing

How to confirm this is the problem

Use this checklist to test the hypothesis against a small reproduction. No single line proves the root cause, so preserve the preceding events and compare one variable at a time.

  • ✓Reproduce the failure from a clean checkpoint/seed: the symptom must appear without warm-up state from a previous run.
  • ✓Verified signal present: mmgetstate -a shows down/arbitrating nodes
  • ✓Verified signal present: mmdiag --deadlock reports waiters
  • ✓Verified signal present: token revoke storms on shared filesets
  • ✓A targeted fix from the "How to fix it" section eliminates or substantially reduces the symptom within one validation pass.

The fix and the prevention pattern

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Related failures to investigate next

Lambda Bgp Route Withdrawal Region Outage often co-occurs with this failure because both share underlying assumptions about infrastructure; if you fix this entry but still see drift, validate the related primary cause next. lambda bgp route withdrawal region outage →
Kubernetes Gpu Pod Pending often co-occurs with this failure because both share underlying assumptions about infrastructure; if you fix this entry but still see drift, validate the related neighboring cause next. kubernetes gpu pod pending →
Cloud Storage Throttling often co-occurs with this failure because both share underlying assumptions about infrastructure; if you fix this entry but still see drift, validate the related neighboring cause next. cloud storage throttling →

Root cause

  • token server overload from many clients writing one fileset
  • network partition between quorum nodes
  • ESS/NSD server failures

The fix and how to prevent it

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References

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