Scaling performance on 'Mixture of Experts' AI models is one of the biggest industry constraints, but it appears that NVIDIA has managed to make a breakthrough, credited to co-design performance scaling laws.

NVIDIA's GB200 NVL72 AI Cluster Manages to Bring In 10x Higher Performance on the MoE-Focused Kimi K2 Thinking LLM

The AI world has been racing to scale up foundational LLMs by ramping up token parameters and ensuring that their models excel in performance and applications, but with this approach, there's a limit to the compute resources companies can invest in their AI models. Now here, 'Mixture of Experts' frontier AI models come in play, since for a query, they don't activate the entire parameters per token, rather just a portion of it, depending upon the type of service request.

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