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GPU Tenant Isolation Boundaries

GPU allocation, virtual machines and network policies protect different boundaries. Trace each tenant's device, network and storage paths, then test both permitted work and forbidden access before declaring a shared GPU service isolated.

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RELATED CONCEPTS

MIG, MPS and Time-Slicing Workload Identity and Secrets Multi-Tenancy, Quotas and Fair Share RDMA, InfiniBand and RoCEv2 Node Lifecycle: Drain, Upgrade and Return

LESSONS THAT TEACH THIS

Fleet and ReliabilitySpecify isolation by resource and validate the end-to-end promise30 min→Fleet and ReliabilityDesign the repair queue and page for urgent unresolved impact30 min→

PRACTICE THIS IN REAL QUESTIONS

Behavioral & OwnershipTell me about an isolation or access problem you found before anyone else did.→Kubernetes, Slurm & GPU SchedulingOne fleet: training that wants every idle GPU, and inference with a p99 SLO. Separate pools, or one pool with preemption? Show the numbers.→GPU & Accelerator ArchitectureExplain GPUDirect RDMA. What does it remove from the data path, and when does it change performance?→Kubernetes, Slurm & GPU SchedulingEight research teams share 1,024 GPUs. Design the quota and fairness policy, and tell me how they will game it.→Kubernetes, Slurm & GPU SchedulingHow do you give a Kubernetes pod RDMA access to the fabric for NCCL, and what goes wrong when it is done naively?→Hardware, Cabling & Cluster Build-OutDesign the physical layer for a multi-tenant GPU cloud. What changes versus a single-tenant cluster?→