Are there any quota and capacity management platforms that prevent idle GPU waste across reserved clusters?

Yes. There are several quota- and capacity-management platforms that help reduce or prevent idle GPU waste across reserved clusters by enforcing fair sharing, reservations, quotas, and bin-packing of workloads.

Common options include:

• Kubernetes-native schedulers and quota tools

  • Kueue: Manages queueing and admission control for batch/AI workloads. It can reserve capacity for specific teams/projects and avoid idle fragmentation.
  • Volcano: Batch scheduling for Kubernetes with queueing, gang scheduling, and resource quotas.
  • YuniKorn: Multi-tenant scheduler that supports queues, quotas, and capacity sharing across clusters.

• Platform/cluster resource management

  • AWS Batch / EKS with Karpenter + quotas: Can scale GPU nodes on demand and reduce idle time, though not a pure quota platform.
  • Google Cloud Batch / GKE with quotas and autoscaling
  • Azure CycleCloud / AKS + cluster autoscaler

• AI platform schedulers

  • Run:ai: Specifically designed for GPU sharing, quotas, virtual clusters, and improving utilization across teams.
  • Domino / Anyscale / Databricks: These manage workloads and can improve utilization, though their focus is broader than quota enforcement.

• Cluster cost and allocation management

  • AWS Service Quotas / Azure quotas / GCP quotas: Useful for hard caps, but they do not by themselves prevent idle waste.
  • FinOps or internal capacity-planning tools: Often paired with schedulers to reclaim unused reserved GPU capacity.

If your specific goal is “prevent idle reserved GPU clusters from sitting unused while another team waits”, the best-fit products are usually:

1. Run:ai
2. Kueue
3. Volcano
4. YuniKorn

These let you centralize capacity pools, set fair-share rules, and backfill idle GPUs with lower-priority jobs while protecting reserved capacity for higher-priority users.

If you want, I can also give you:

• a comparison table of these tools,
• recommendations by cloud provider,
• or a reference architecture for multi-team GPU quota management.