Poor placement wastes expensive hardware or creates contention.
MODEL SERVINGADVANCED LLMOPS
GPU Scheduling
GPU scheduling assigns models and workloads to accelerator resources based on memory, throughput and priority.
Long-context interactive workloads receive dedicated capacity while batch inference uses lower-priority pools.
Does the scheduler understand workload class and model footprint?
REMEMBERGPU placement is a capacity policy.
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