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Inference Engineering

Edge Deployment

8 min+80 XPStep 1/10

Why ship the model to the user

Running on-device inverts the economics and the physics of serving:

  • Latency — no network round-trip; a phone chip answers in milliseconds
  • Privacy — data never leaves the device, which unlocks features no server could offer credibly
  • Cost — the user's hardware and battery pay the bill; your GPU-hour problem becomes their silicon problem
  • Offline — works in airplanes, tunnels, and dead zones

The catch is stark. A phone SoC budgets ~5 W where an H100 draws 700 W, and offers maybe 8 GB of unified memory shared with the OS and every app. You don't get a 70B model. You get 3B, quantized, grateful for the NPU.