[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"tag-gpu":3},{"tag":4,"articles":11,"peer_article_count":12},{"id":5,"name":6,"slug":7,"article_count":8,"description_zh":9,"description_en":10},"4a9f46e6-dff5-433a-86ad-24a7ccea6b0a","GPU","gpu",8,"GPU 是平行運算的核心硬體，從 CUDA、SM、核心與記憶體階層，到 AI 訓練、推論與雲端基礎設施擴張，都直接影響效能與成本。這個主題聚焦晶片架構、NVIDIA 生態與企業採用趨勢。","GPU is the hardware layer behind parallel compute, from CUDA execution on SMs and memory hierarchies to AI training, inference, and cloud infrastructure spend. This topic tracks chip architecture, NVIDIA’s ecosystem, and how demand shapes performance and cost.",[],17]