Nvidia发布小型语言模型Nemotron-Nano-9B-v2，拥有9亿参数，较原版12亿大幅缩减，旨在单台A10GPU高效运行。该模型采用混合架构，适应实际部署需求，推动小型模型发展。
Nvidia发布小型语言模型Nemotron-Nano-9B-v2，参数量90亿，较前代减少30亿，专为单个A10GPU优化。该模型在基准测试中表现优异，支持灵活控制推理功能，处理速度提升高达6倍，适用于多种应用场景。
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