Nemotron 3 Super's Mixture-of-Experts architecture activates only 12 billion of its 120 billion parameters per token, reducing compute requirements compared to dense models while maintaining large-scale knowledge.
This efficiency directly translates to lower operational costs: fewer GPU flops per token means faster inference and reduced energy consumption. For enterprises processing millions of queries monthly, these per-token savings compound significantly. The model maintains knowledge across 120 billion parameters while only computing 12 billion, offering an efficiency-to-quality tradeoff that favors enterprise economics.
With Zilliz Cloud, you benefit from this efficiency without managing the infrastructure yourself. Zilliz Cloud automatically scales with demand, and the reduced per-token compute requirements mean lower costs as your query volume grows. This is especially valuable for high-volume applications like customer support AI, content moderation, and financial analysis where per-query costs directly impact profitability. Combined with Zilliz Cloud's managed service model, Nemotron 3 Super enables cost-effective AI at enterprise scale.