MQBench
AI Models Cut to 1/4 Size, <1% Accuracy Loss — Enterprise GPU Math Is Changing
MQBench hit 7 hardware backends. Quantization compresses 32-bit models to 8-bit — 1/4 size/cost, <1% accuracy loss. The quiet engineering behind edge
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QAT
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QAT
AI Quantization Ditches Full Downgrades for Mixed-Precision Topology
16-to-8-bit AI shifts crash precision. A new "equivalent topology" uses an 8-bit base, upgrading sensitive layers to 16-bit, balancing speed and preci