“benchmark candidate MIG sizes and choose the qualified performance profile” addresses compute instance capacity and workload demand are mismatched, but the current hardware or infrastructure issue is changing GPU partition mode has workload disruption and reset implications. The option “drain workloads and follow the supported MIG reconfiguration procedure” is more directly tied to the required outcome.

“enable supported MIG mode and create qualified GPU and compute instances” addresses whole-device scheduling cannot provide requested MIG resource isolation, but the current hardware or infrastructure issue is changing GPU partition mode has workload disruption and reset implications. The option “drain workloads and follow the supported MIG reconfiguration procedure” is more directly tied to the required outcome.

Useful for MIG profile capabilities are device-generation and profile specific, but it does not remove the specific condition: changing GPU partition mode has workload disruption and reset implications.

“nvidia-smi displays intended MIG instances and tenant jobs run on assigned devices” addresses whole-device scheduling cannot provide requested MIG resource isolation, but the current hardware or infrastructure issue is changing GPU partition mode has workload disruption and reset implications. The option “no jobs occupy the target GPU during mode change and new instances enumerate afterward” is more directly tied to the required outcome.

“HPC allocation obtains the required visible memory and completes its workload” addresses workload shape conflicts with the partition strategy, but the current hardware or infrastructure issue is changing GPU partition mode has workload disruption and reset implications. The option “no jobs occupy the target GPU during mode change and new instances enumerate afterward” is more directly tied to the required outcome.

“scheduling capacity and GPU state expose the same available device layout” addresses advertised scheduler capacity is inconsistent with current GPU state, but the current hardware or infrastructure issue is changing GPU partition mode has workload disruption and reset implications. The option “no jobs occupy the target GPU during mode change and new instances enumerate afterward” is more directly tied to the required outcome.

“select a supported instance profile providing sufficient memory and compute resources” addresses requested MIG instance memory profile does not meet workload demand, but the current hardware or infrastructure issue is scheduler resource discovery does not match physical GPU partitioning. The option “configure MIG-aware device discovery and allocation to scheduler resources” is more directly tied to the required outcome.

Useful for advertised scheduler capacity is inconsistent with current GPU state, but it does not remove the specific condition: scheduler resource discovery does not match physical GPU partitioning.

“enable supported MIG mode and create qualified GPU and compute instances” addresses whole-device scheduling cannot provide requested MIG resource isolation, but the current hardware or infrastructure issue is scheduler resource discovery does not match physical GPU partitioning. The option “configure MIG-aware device discovery and allocation to scheduler resources” is more directly tied to the required outcome.

“nvidia-smi displays intended MIG instances and tenant jobs run on assigned devices” addresses whole-device scheduling cannot provide requested MIG resource isolation, but the current hardware or infrastructure issue is scheduler resource discovery does not match physical GPU partitioning. The option “scheduled processes see only their assigned MIG UUID and profile” is more directly tied to the required outcome.

“the job allocates its working set and completes within its assigned instance” addresses requested MIG instance memory profile does not meet workload demand, but the current hardware or infrastructure issue is scheduler resource discovery does not match physical GPU partitioning. The option “scheduled processes see only their assigned MIG UUID and profile” is more directly tied to the required outcome.

“measured latency and throughput meet service thresholds per assigned instance” addresses compute instance capacity and workload demand are mismatched, but the current hardware or infrastructure issue is scheduler resource discovery does not match physical GPU partitioning. The option “scheduled processes see only their assigned MIG UUID and profile” is more directly tied to the required outcome.

“enumerate valid MIG profiles for the exact GPU before creating instances” addresses mIG profile capabilities are device-generation and profile specific, but the current hardware or infrastructure issue is isolation requirements were not translated into appropriate MIG instance assignments. The option “allocate separate qualified MIG instances under tenant-aware policy” is more directly tied to the required outcome.

“benchmark candidate MIG sizes and choose the qualified performance profile” addresses compute instance capacity and workload demand are mismatched, but the current hardware or infrastructure issue is isolation requirements were not translated into appropriate MIG instance assignments. The option “allocate separate qualified MIG instances under tenant-aware policy” is more directly tied to the required outcome.

Useful for requested MIG instance memory profile does not meet workload demand, but it does not remove the specific condition: isolation requirements were not translated into appropriate MIG instance assignments.

“the job allocates its working set and completes within its assigned instance” addresses requested MIG instance memory profile does not meet workload demand, but the current hardware or infrastructure issue is isolation requirements were not translated into appropriate MIG instance assignments. The option “instance inventories and cross-tenant resource tests show prescribed separation” is more directly tied to the required outcome.

“supported profiles appear and a matching instance initializes successfully” addresses mIG profile capabilities are device-generation and profile specific, but the current hardware or infrastructure issue is isolation requirements were not translated into appropriate MIG instance assignments. The option “instance inventories and cross-tenant resource tests show prescribed separation” is more directly tied to the required outcome.

“measured latency and throughput meet service thresholds per assigned instance” addresses compute instance capacity and workload demand are mismatched, but the current hardware or infrastructure issue is isolation requirements were not translated into appropriate MIG instance assignments. The option “instance inventories and cross-tenant resource tests show prescribed separation” is more directly tied to the required outcome.

“benchmark candidate MIG sizes and choose the qualified performance profile” addresses compute instance capacity and workload demand are mismatched, but the current hardware or infrastructure issue is advertised scheduler capacity is inconsistent with current GPU state. The option “refresh the device plugin and resource inventory after partition changes” is more directly tied to the required outcome.

“drain workloads and follow the supported MIG reconfiguration procedure” addresses changing GPU partition mode has workload disruption and reset implications, but the current hardware or infrastructure issue is advertised scheduler capacity is inconsistent with current GPU state. The option “refresh the device plugin and resource inventory after partition changes” is more directly tied to the required outcome.

“configure MIG-aware device discovery and allocation to scheduler resources” addresses scheduler resource discovery does not match physical GPU partitioning, but the current hardware or infrastructure issue is advertised scheduler capacity is inconsistent with current GPU state. The option “refresh the device plugin and resource inventory after partition changes” is more directly tied to the required outcome.

“HPC allocation obtains the required visible memory and completes its workload” addresses workload shape conflicts with the partition strategy, but the current hardware or infrastructure issue is advertised scheduler capacity is inconsistent with current GPU state. The option “scheduling capacity and GPU state expose the same available device layout” is more directly tied to the required outcome.

“the job allocates its working set and completes within its assigned instance” addresses requested MIG instance memory profile does not meet workload demand, but the current hardware or infrastructure issue is advertised scheduler capacity is inconsistent with current GPU state. The option “scheduling capacity and GPU state expose the same available device layout” is more directly tied to the required outcome.

“no jobs occupy the target GPU during mode change and new instances enumerate afterward” addresses changing GPU partition mode has workload disruption and reset implications, but the current hardware or infrastructure issue is advertised scheduler capacity is inconsistent with current GPU state. The option “scheduling capacity and GPU state expose the same available device layout” is more directly tied to the required outcome.

“benchmark candidate MIG sizes and choose the qualified performance profile” addresses compute instance capacity and workload demand are mismatched, but the current hardware or infrastructure issue is mIG profile capabilities are device-generation and profile specific. The option “enumerate valid MIG profiles for the exact GPU before creating instances” is more directly tied to the required outcome.

“allocate separate qualified MIG instances under tenant-aware policy” addresses isolation requirements were not translated into appropriate MIG instance assignments, but the current hardware or infrastructure issue is mIG profile capabilities are device-generation and profile specific. The option “enumerate valid MIG profiles for the exact GPU before creating instances” is more directly tied to the required outcome.

“enable supported MIG mode and create qualified GPU and compute instances” addresses whole-device scheduling cannot provide requested MIG resource isolation, but the current hardware or infrastructure issue is mIG profile capabilities are device-generation and profile specific. The option “enumerate valid MIG profiles for the exact GPU before creating instances” is more directly tied to the required outcome.

“measured latency and throughput meet service thresholds per assigned instance” addresses compute instance capacity and workload demand are mismatched, but the current hardware or infrastructure issue is mIG profile capabilities are device-generation and profile specific. The option “supported profiles appear and a matching instance initializes successfully” is more directly tied to the required outcome.

“the job allocates its working set and completes within its assigned instance” addresses requested MIG instance memory profile does not meet workload demand, but the current hardware or infrastructure issue is mIG profile capabilities are device-generation and profile specific. The option “supported profiles appear and a matching instance initializes successfully” is more directly tied to the required outcome.

“nvidia-smi displays intended MIG instances and tenant jobs run on assigned devices” addresses whole-device scheduling cannot provide requested MIG resource isolation, but the current hardware or infrastructure issue is mIG profile capabilities are device-generation and profile specific. The option “supported profiles appear and a matching instance initializes successfully” is more directly tied to the required outcome.

“refresh the device plugin and resource inventory after partition changes” addresses advertised scheduler capacity is inconsistent with current GPU state, but the current hardware or infrastructure issue is workload shape conflicts with the partition strategy. The option “reserve a suitably configured full-device resource for jobs requiring whole-GPU capacity” is more directly tied to the required outcome.

Useful for MIG profile capabilities are device-generation and profile specific, but it does not remove the specific condition: workload shape conflicts with the partition strategy.

“drain workloads and follow the supported MIG reconfiguration procedure” addresses changing GPU partition mode has workload disruption and reset implications, but the current hardware or infrastructure issue is workload shape conflicts with the partition strategy. The option “reserve a suitably configured full-device resource for jobs requiring whole-GPU capacity” is more directly tied to the required outcome.