Edge AI for Flutter: Building Cost-Effective Apps Without Cloud Dependency

Cloud-based LLM APIs create mounting costs and privacy risks for Flutter developers. Running quantized open-source models on-device or self-hosted servers eliminates per-token fees while preserving data privacy and enabling offline functionality. This shift from centralized cloud APIs to edge inference offers sustainable, cost-effective AI for resource-constrained teams and reduces vendor lock-in.