Running 1.58-bit LLMs on AWS Lambda - When Serverless Meets Extreme Quantization
· 6 min read
✨ What you'll learn (tl;dr) In ~12 minutes you'll see how to deploy Microsoft's BitNet 1.58-bit quantized LLM on AWS Lambda, the container-based architecture, and performance benchmarks across different memory configurations using the microsoft/bitnet-b1.58-2B-4T model.
Big idea: 1.58-bit quantization enables LLM deployment on Lambda's CPU infrastructure. At ~1.1GB, the model fits within Lambda's constraints for serverless AI inference.