FRONTIER COMPUTE v3.4

Frontier AI Race: Compute Scaling & Power Grid Simulator

Theoretical Peak ExaFLOPs 197.90 EF FP8 Dense Compute
Effective Training ExaFLOPs 89.45 EF 45.2% Effective MFU
Total Datacenter Power Load 95.20 MW IT Load: 85.00 MW
Training Run Duration 23.3 Days 1.80e26 Total FLOPs
Grid Substation Transformer Headroom 63.5% Utilized (54.8 MW Reserve)
Simulation Metric Calculated Value Engineering Constraint & Scaling Basis

Frontier AI Cluster Power Throttling & Training Horizon

Read the explanation

Frontier cluster power demands scale directly with accelerator count, auxiliary server overhead, and facility cooling efficiency. If grid curtailment or cluster expansion pushes demand beyond the substation limit, the simulator activates electrical power throttling. Throttling shrinks effective model FLOPs utilization, directly stretching estimated training days required to finish the target run.

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