Prototype · GPU validation in progress

AI INFERENCE EFFICIENCY ARCHITECTURE

Move more intelligence through less memory.

Möbius is a modular inference optimization project exploring low-bit KV storage, entropy-guided prefetch, precision routing, and hardware-aware dequantization for long-context AI systems.

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M
PRIMARY TARGETC6INT4 KV + xQUANT + Prefetch
LOCAL PLATFORMRTX 30506 GB validation host
CORRECTNESS36 / 36Measured checkpoint
01Virtual KV Manager
02Entropy-Gated Prefetch
03Precision Folding
04xQUANT Dequantization

WHY MÖBIUS

Inference is becoming a memory orchestration problem.

Longer contexts, higher concurrency, and larger models increase pressure on KV memory, transfer paths, and serving economics.