Edge AI vs Cloud AI: Choosing the Right Tradeoff

Cloud AI offers access to the largest, most capable models but introduces network latency and ongoing per-request cost, while edge AI runs directly on a device, offering instant response and working offline.

Edge models are typically smaller and less capable, which makes them a better fit for narrow, well-defined tasks like keyword detection rather than open-ended reasoning.

We evaluate this tradeoff based on latency requirements and connectivity assumptions early in a project, since it shapes the entire technical architecture.