AOSI-RFC-0001: The AI Open Systems Interconnection (AOSI) Reference Model: A 7-Layer Stack for Generative AI Execution

AOSI-RFC-0001 specifies the AI Open Systems Interconnection (AOSI) Reference Model, a seven-layer conceptual stack for generative AI execution: L1 Physical Infrastructure, L2 Framework & Runtime, L3 Model & Weight Architecture, L4 Inference & Serving, L5 Retrieval & Knowledge (RAG), L6 Orchestration & Gateway and L7 Application. For each layer it defines scope, components, the data-state transformation performed (JSON Payload → Enriched Prompt → Vector Chunks → Batched Tensors → Hidden States → Tensor IR → Silicon Voltages), interfaces, observability signals and failure modes, together with a layer-isolation Diagnostic & Troubleshooting Matrix, per-layer security considerations and a roadmap for Layer 8 (Agentic Workflows), Layer 9 (Distributed Inference / Federated Learning) and cross-layer Global Optimization. Version 1.2.1 is a Final Draft for RFC, released as a Proposed Standard for public comment. Author and Conceptual Architect: Divyendu Bhatt.