Skip to content

Consumer Runtime

The single-GPU runtime supports a conservative dual-model path and a shared-backbone path that switches standard PEFT roles on one resident base. Padded trajectory updates improve update throughput without changing the effective optimizer batch or the strict-OPD freshness contract.

Measured continuation-time and peak-memory Pareto view for the frozen Consumer Runtime matrix. Batch 4 is the knee for both runtimes: shared backbone reaches 3.48 trajectories per second at 2.23 GiB and dual model reaches 3.87 at 3.04 GiB.

The figure is a systems result for one RTX 4080 workload, not a cross-GPU speed forecast or a new quality experiment. Read the full data-bound Consumer Runtime v1 report for the matrix, profiler evidence, equivalence gate and hardware limits.

Next: configure a matching PyTorch build and recipe with the single-GPU guide, or inspect failure recovery in RecoveryBench.