美國能源企業Blue Energy與GE Vernova合作，在得克薩斯州開發一座2.5吉瓦的混合電站，同時部署核能與天然氣發電設施，以應對AI數據中心激增的電力需求。該項目首創“氣轉核”模式，通過天然氣快速供電，再逐步過渡到核能，有效解決傳統核電審批和建設週期長的痛點，爲高能耗產業提供靈活、穩定的電力解決方案。
美國能源部與AMD簽署10億美元合作協議，將共同建造兩臺超級計算機，用於支持核能利用、癌症治療和國家安全等重大科研領域。美能源部長表示，此舉將顯著提升美國在複雜實驗中的數據處理能力。
勞斯萊斯CEO宣佈計劃利用小型模塊化核反應堆爲AI數據中心供電，若成功可能使公司成爲英國市值最高企業。此舉旨在應對AI發展帶來的能源需求挑戰。
谷歌與電力公司簽署協議，通過需求響應計劃減少AI數據中心在高峯期的電力消耗。該計劃將調整機器學習工作負載，預計2023年啓動，可緩解電網壓力並減少新電廠建設需求。國際能源署預測，到2030年AI數據中心能耗可能增長四倍，接近日本當前用電量。谷歌此前已通過類似方案成功減輕電網負擔，科技公司正積極尋求核能、可再生能源等解決方案應對電力需求激增。
atomic-canyon
fermi-bert-1024是一款專門針對核能領域優化的BERT預訓練模型。該模型在維基百科、Books3和美國核管理委員會ADAMS數據庫數據上訓練，特別優化了核能行業的技術術語和監管語言處理能力。在橡樹嶺國家實驗室的Frontier超級計算機上使用128個AMD MI250X GPU訓練10小時，為核能應用提供堅實基礎。
面向核能領域優化的稀疏檢索模型，將查詢和文檔編碼為高維稀疏向量，提升核能專業術語的處理效率
kumo24
該模型是基於MistralAI 7B架構微調的文本分類模型，專門用於分析Twitter/X平臺上關於核能話題的情感傾向，分類準確率達到94%。
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