Nvidia發佈小型語言模型Nemotron-Nano-9B-v2，擁有9億參數，較原版12億大幅縮減，旨在單臺A10GPU高效運行。該模型採用混合架構，適應實際部署需求，推動小型模型發展。
Nvidia發佈小型語言模型Nemotron-Nano-9B-v2，參數量90億，較前代減少30億，專爲單個A10GPU優化。該模型在基準測試中表現優異，支持靈活控制推理功能，處理速度提升高達6倍，適用於多種應用場景。
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