
In the rapidly evolving landscape of artificial intelligence, large language models (LLMs) have become indispensable for powering applications like chatbots, translation tools, and content generation, yet their enormous memory and computational requirements often limit their accessibility to only the most resource-rich organizations. Huawei’s Computing Systems Lab in Zurich has introduced a revolutionary open-source solution called SINQ (Sinkhorn-Normalized Quantization) that addresses










