Running and optimizing small language models on-premises and at the edge

This article provides a comprehensive guide to running and optimizing small language models (SLMs) on-premises and at the edge using AWS infrastructure, specifically AWS Local Zones and AWS Outposts.

• Discusses two generative AI deployment options: Large Language Models (LLMs) and Small Language Models (SLMs)
• Uses Llama.cpp framework for efficient SLM deployment across different computing environments
• Provides detailed technical steps for:
  • Launching a GPU instance
  • Installing NVIDIA drivers
  • Setting up Llama.cpp
  • Downloading and converting SLM models
• Explains optimization parameters for SLMs, including GPU layer allocation, thread usage, and context size
• Demonstrates practical use cases like chatbot interactions and text summarization

The solution enables organizations to deploy generative AI models while addressing data residency, security, and latency requirements in edge computing environments.