Lessons learned from scaling to 1 million Lambda functions

Architecting offline-first generative AI applications for edge deployments using AWS services

Here's a 3-sentence summary of the blog post: A reference architecture for offline-first generative AI applications at the edge is presented, using AWS services including Amazon Bedrock, SageMaker AI, AWS IoT Greengrass, and Strands Agents. The architecture addresses the challenge of customizing large-scale AI models for reliability and scalability, using a hybrid approach that combines fine-tuning, continued pre-training, and retrieval-augmented generation (RAG) to optimize performance and accuracy. The design involves careful coordination across multiple AWS services and deliberate trade-offs between model capability, hardware constraints, and operational complexity to achieve a cost-effective and scalable edge-deployment of generative AI applications.