Edge Deployment
Running a compressed machine learning model directly on a user's phone, laptop, or IoT sensor instead of in a cloud data center.
Think of It Like This
Like training a waiter to memorize the most common menu questions so they don't have to walk back to the chef for every single request.
By shrinking the model via quantization and pruning, developers can execute it on specialized hardware like NPUs. This eliminates the latency of a network round-trip and ensures that sensitive user data never leaves the device.