Building a Hybrid AI Agent With Local and Cloud Models

This story was originally published on HackerNoon at: https://hackernoon.com/building-a-hybrid-ai-agent-with-local-and-cloud-models. A three-month case study on running a hybrid AI agent with a 3B local model on a Raspberry Pi 5, using cloud AI only for higher-reasoning tasks. Check more stories related to web3 at: https://hackernoon.com/c/web3. You can also check exclusive content about #decentralize-ai, #agentic-ai, #decentralize-ai-hackathon, #ai-infrastructure, #ai-compute, #self-hosting, #hybrid-ai-architecture, #open-source-ai-infrastructure, and more. This story was written by: @8pi-tech. Learn more about this writer by checking @8pi-tech's about page, and for more stories, please visit hackernoon.com. The author runs about 70% of an AI agent’s workload on a 3B quantized model hosted on a Raspberry Pi 5, while sending more complex planning and reasoning tasks to a cloud model. The article breaks down the architecture, costs, failure modes, verification layer, and lessons learned from three months of real-world use.