(LSJ) Llama Stack for SMEs

This document outlines an affordable, high-performance "Llama Stack" architecture for Small to Medium Enterprises (SMEs) using Google Cloud Run, GCS-backed ChromaDB, and Groq API. The core philosophy is to avoid paying for idle GPUs by outsourcing inference to Groq's LPUs, using Cloud Run for stateless orchestration that scales to zero, and a GCS-backed ChromaDB for cost-effective vector storage. This approach significantly reduces monthly costs to approximately $14.33 for 10,000 queries, compared to thousands of dollars for traditional GPU infrastructure. Trade-offs include data freshness (batch updates), cold start latency (mitigable with min-instances), and scalability limits for the vector database (up to a few gigabytes). The document concludes that this stack is the optimal choice for SMEs entering the Generative AI space due to its cost-effectiveness, scalability, and operational simplicity.