Observed arrival · 2026-09-11
Inference Capacitance: the AI capacity layer that speaks in volts
Credibility concern recorded. The source reference remains available for verification and correction.
CapacitanceAI presents a software-defined layer that supposedly stores and reuses inference potential across future AI workloads.
Field notes
The proposed workflow separates completed inference from later consumption: Charge captures a claimed computational residue, Retain holds it in an isolated software layer, and Route makes it available to subsequent requests. The console illustration reports 14.7 TiR of stored potential, 72-hour retention, 1.8% hourly leakage, and 18 of 18 capacitors synced. TiR is defined as “tera-inferences of retained reasoning potential,” but the page does not expose the runtime, measurement method, or supporting documentation.
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