19 June 2025
Quantization that adapts to your hardware – not the other way around
Deploying high-accuracy neural networks on embedded systems is a major challenge. Developers are forced to balance performance, memory constraints, and power consumption – all while ensuring model accuracy remains intact. That’s where quantization-aware training (QAT) becomes essential.
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