The optimal scheduling decision depends on constraints that haven’t emerged yet.
Working with a small batch of infrastructure operators.
Most infrastructure waste is created because schedulers optimize before future constraints are visible.
Power prices change. Queue pressure changes. Capacity changes. Deadlines tighten. The decision that appears optimal now can become economically suboptimal later. Aurelius tests whether forecasting those future constraints before execution produces measurably better economic decisions.
Forecast. Simulate. Rank by Economics.
Conventional schedulers optimize the cluster they can observe. Aurelius uses a predictive world model to forecast the constraints they cannot yet observe, simulate candidate decisions, and rank those decisions by economic outcome before execution.
Scheduling starts too late when it only reacts to the present cluster state. A decision that appears optimal now can become expensive later when power prices rise, queue pressure increases, capacity disappears, or deadlines tighten.
average SLA-safe goodput per dollar vs a production scheduler
Pareto-safe at ~84% fewer GPU-hours. Mean of +698% / +718% / +755% across PJM, ERCOT, and CAISO. Uncapped replay of public production traces (~1.5M replayed requests). Simulated replay, not a production deployment.
Backtested on public production traces.
Validated through offline replay and read-only shadow mode before any rollout, measured against the operator’s own scheduler.
- Offline replay
- Read-only shadow mode
- Uncapped high-load replay
Replay evidence. Results depend on workload mix, constraints, and scheduler baseline.
Read-only until you decide otherwise.
Start with scheduler metadata. Aurelius replays historical decisions, simulates counterfactual outcomes, and produces an audited savings report before any production rollout.
Run a read-only savings audit.
Upload historical scheduler metadata. Aurelius replays decisions offline, simulates counterfactual outcomes, and produces an audited savings report. Metadata only. No payload access. No production changes.