Edge AI
Edge inference constraints — quantization, NPU throughput, and interface bandwidth for on-device vision AI.
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It Worked Fine on the Server — Why Does Accuracy Drop on the Edge?
Accuracy that holds up on a server often drops on edge hardware -- usually the quantization step (FP32 to INT8), not the model, is the real cause.
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Four Snags in Initial Jetson Orin Nano Setup
Four common snags in initial Jetson Orin Nano setup -- DisplayPort-only video output, QSPI firmware mismatch, SD/NVMe boot conflicts, and power-mode defaults.
