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# On-Device or Cloud: Where AI Actually Needs to Run
- URL: https://adjacent.media/signals/on-device-or-cloud-where-ai-actually-needs-to-run/
- Published: 2026-09-09T23:08:19.000Z
- Updated: 2026-09-09T23:08:19.000Z
- Description: The inference location question—whether AI models process data locally on devices or remotely in datacenters—determines latency, privacy, cost, and who controls the user experience.
- Author: Jonathan Greene
- Tags: #signal, theme-connected, hardware, edge computing, inference

Source: [Semianalysis](https://newsletter.semianalysis.com/p/where-does-a-robot-think-on-device?ref=adjacent.media)

The inference location question—whether AI models process data locally on devices or remotely in datacenters—determines latency, privacy, cost, and who controls the user experience. On-device inference reduces dependency on internet connectivity and server infrastructure, but requires smaller models and expensive chip integration; datacenter inference offers computational flexibility and model sophistication, but creates data surveillance risks and network bottlenecks that make real-time applications like autonomous systems or AR unreliable. Companies are making stack decisions that will fragment the AI market into specialized ecosystems rather than consolidate around a single deployment model.