Fine Tuning Edge

The cloud has dominated AI for the last decade. Every query is sent to a centralized server, processed on expensive GPUs, and returned over the network. This architecture has served us well, but its limitations are becoming critical: latency, privacy, cost, and offline capability. Edge AI—running models directly on user devices—solves all four problems simultaneously. A model running on a phone responds in milliseconds, not seconds. Data never leaves the device. Inference costs are zero at scale. And the app works offline.