HOW MÖBIUS WORKS

See what changes inside the inference path.

This page compares a conventional serving path with the Möbius target architecture, then walks through each optimization stage in plain technical language.

SIDE-BY-SIDE VIEW

Standard inference versus Möbius.

The goal is not to claim a finished performance win. The goal is to show where Möbius attempts to reduce memory pressure and transfer waste.

CONVENTIONAL PATH

Standard inference

Full-precision KV cache
Static residency
Reactive memory movement
Native weight format
Illustrative memory pressureHigh

As context and concurrency rise, more KV state competes for GPU memory and transfer bandwidth.

MÖBIUS TARGET PATH

Coordinated optimization

Virtual KV pages
Entropy-gated prefetch
Layer-aware precision
xQUANT dequantization
Illustrative memory pressureLower target

The intended result is better use of memory and transfer paths without hiding latency, quality, or fallback costs.

Illustrative architecture comparison only. This is not a production benchmark or acceptance result.

INTERACTIVE WALKTHROUGH

Follow a token through Möbius.

Select a stage to see what it does, why it matters, and what remains unproven.

STAGE 01

Virtual KV Manager

Incoming token demand is mapped to paged KV blocks. The target design keeps useful pages resident and evicts lower-value pages under an explicit policy.

Token→Page map→Residency decision→KV block
WHY IT MATTERSKV memory becomes actively managed instead of passively accumulated.
EVIDENCE STATUSPrototype; production vLLM integration remains pending.

WHAT A TECHNICAL VISITOR SHOULD UNDERSTAND

Möbius is a coordinated serving architecture—not one isolated trick.

MEMORY

Manage KV residency

Reduce avoidable cache pressure through explicit page control.

TRANSFER

Prefetch selectively

Move likely-needed pages only when the entropy signal justifies it.

PRECISION

Spend bits by layer

Use lower precision where sensitivity permits and preserve higher precision deeper in the model.

COMPUTE

Reduce weight bandwidth

Use xQUANT to dequantize packed low-bit weights near compute.

CURRENT REALITY

What is proven and what is not.

MEASURED36 / 36

Later safety and correctness checkpoint.

MEASURED0%

C1 physical VRAM reduction.

PENDINGC6

Full combined production path.

PENDINGH100 / B200

Physical datacenter validation.