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Telecom Cloud Computing Research Institute
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Energy consumption in LLM serving can be cut by nearly half without sacrificing performance, thanks to a new framework that intelligently manages GPU frequency scaling.
Forget fixed-precision quantization: STQuant slashes optimizer memory by 84% in large model training by dynamically adapting bit-widths across layers and training steps.
