Standard inference
As context and concurrency rise, more KV state competes for GPU memory and transfer bandwidth.
HOW MÖBIUS WORKS
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
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.
As context and concurrency rise, more KV state competes for GPU memory and transfer bandwidth.
The intended result is better use of memory and transfer paths without hiding latency, quality, or fallback costs.
INTERACTIVE WALKTHROUGH
Select a stage to see what it does, why it matters, and what remains unproven.
STAGE 01
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.
WHAT A TECHNICAL VISITOR SHOULD UNDERSTAND
Reduce avoidable cache pressure through explicit page control.
Move likely-needed pages only when the entropy signal justifies it.
Use lower precision where sensitivity permits and preserve higher precision deeper in the model.
Use xQUANT to dequantize packed low-bit weights near compute.
CURRENT REALITY
Later safety and correctness checkpoint.
C1 physical VRAM reduction.
Full combined production path.
Physical datacenter validation.