[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"tag-dynamo":3},{"tag":4,"articles":11},{"id":5,"name":6,"slug":7,"article_count":8,"description_zh":9,"description_en":10},"3c3befd2-247b-4dac-9387-1cba94b18d03","Dynamo","dynamo",3,"Dynamo 指的是 NVIDIA 用來提升推論效率的軟體層與執行優化，常與 TensorRT-LLM、Blackwell Ultra、GB300 NVL72 一起出現。它的重要性在於，AI 伺服器的速度與成本，已不只取決於 GPU 規格，也取決於排程、記憶體管理與模型執行策略。","Dynamo refers to NVIDIA’s software layer and execution optimizations for inference, often discussed alongside TensorRT-LLM, Blackwell Ultra, and GB300 NVL72. It matters because AI server speed and cost now depend not only on GPU hardware, but also on scheduling, memory handling, and model execution strategy.",[12],{"id":13,"slug":14,"title":15,"summary":16,"category":17,"image_url":18,"cover_image":18,"language":19,"created_at":20},"0b5979a7-dbb3-438f-b8a1-68de0f838df0","nvidia-mlperf-software-inference-benchmarks-zh","Nvidia MLPerf 成績證明軟體還很重要","Nvidia 在 MLPerf v6.0 交出最高 2.77x 推論提升。GB300 NVL72 的成績顯示，Dynamo、TensorRT-LLM 這類軟體優化，已經和 GPU 硬體同樣重要。","research","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1775185790112-2r4u.png","zh","2026-04-03T03:09:34.300263+00:00"]