How Much Memory Does a Trillion-Parameter AI Need

Archived study

Calculates weight-storage requirements at several precisions and adds scenarios for quantization metadata, cache, and runtime overhead. The archived report keeps decimal and binary memory units and formulas visible.

Interpretation and limits

Cache sensitivities use a hypothetical architecture and are estimates, not measured hardware usage. Active parameters alone do not describe the complete stored model; source specifications remain those archived at the time.

Package and provenance

The original .science export and matching poster are preserved byte-for-byte from the upstream case. The package contains the conversation, session metadata, and the resources inventoried in its internal manifest. This introduction summarizes the archived record; the research, external sources, and model evaluations were not rerun for this import.