# AIOS — CPU-Native LLM Inference Architecture

A memory residency controller and Model Contract for deploying 
large language models efficiently on CPU hardware.

## What We're Building
AIOS addresses the memory bandwidth bottleneck in CPU inference 
through weight aliasing, sparsity maps, KV cache tiering, and 
activation chunking — targeting 7B+ models on hardware 
organizations already own.

## Current State
Framework and specification published. Runtime implementation 
is the primary contribution opportunity.

## Links
- Paper: https://ssrn.com/abstract=6467298
- GitHub: https://github.com/acasavaraju/AIOS
- Primary validation target: GitHub Issue #2

## How to Contribute
Clone the repo, run validation/compliance.py on any GGUF model, 
post results to the relevant GitHub issue.