Guide
Embedded AI: running models on constrained hardware.
What embedded AI means, and what it takes to run a model reliably on constrained, real-time hardware.
Embedded AI is a model that runs on-device, on hardware with a fraction of the compute, memory, and power budget of a server: cameras, sensors, and controllers that can't wait on a round trip to the cloud.
The constraint changes the engineering: quantization and pruning to fit the model, hard latency budgets instead of average-case throughput, and a runtime built to fail safely rather than fail silently.