How Whering architects cost efficient multimodal AI apps

This Google I/O interview explores how Whering, an AI-driven fashion app, leverages Google's multimodal models including Gemini and edge-specific models like Nano to build cost-efficient inventory tagging, color analysis, and background clipping features. The video targets cloud engineers and systems architects interested in balancing high-computation multimodal AI workloads with intelligent cost optimization strategies for production applications.