Whitepaper

EigenAI Whitepaper (PDF): the paper that introduces EigenAI's deterministic inference stack, enabling bit-exact reproducible LLM outputs on production GPUs (validated across 10,000 runs) with under ~2% overhead. The document explains why GPU nondeterminism breaks verifiable autonomous agents, and how EigenAI enforces determinism across hardware, math libraries, and the inference engine—then layers optimistic verification + cryptoeconomic enforcement (disputes, re-execution by verifiers, and slashing for mismatches) to make AI execution replayable, auditable, and economically accountable.