Samsung and SK Hynix Unveil AI-Driven Chip Manufacturing Innovations
三星與 SK 海力士揭示 AI 驅動的晶片製造創新技術
In March 2026, the semiconductor world witnessed a major evolution at NVIDIA’s GTC conference.
2026年3月，半導體領域在NVIDIA的GTC大會上見證了一場重大變革。
Memory giants Samsung and SK Hynix announced they are moving beyond simple component supply to embrace an AI-driven manufacturing ecosystem.
記憶體巨頭三星（ㄙㄢ）電子與SK海力士（ㄏㄞˋㄌㄧˋㄙ）宣布，他們正超越單純的組件供應，轉而擁抱以人工智慧（AI）驅動的製造生態系統。
By integrating GPU-accelerated AI, these companies are creating 'digital twins'—virtual replicas of their factories—to optimize production in real time.
透過整合GPU加速的AI技術，這些企業正在打造「數位孿生」（ㄉㄧˊㄕㄨˋㄊㄨㄢˇㄕㄨㄤ）——即工廠的虛擬複製品——以實現生產流程的即時優化。
Samsung’s development of a 'Physics-Informed Neural Operator' is a game-changer, allowing researchers to analyze new materials 10,000 times faster than traditional methods.
三星研發的「物理資訊神經算子」（Physics-Informed Neural Operator）是一項顛覆性技術，使研究人員分析新材料的速度比傳統方法快上10,000倍。
Furthermore, Samsung is launching an 'AI Megafactory' powered by over 50,000 NVIDIA GPUs to synchronize design, process, and quality control.
此外，三星還啟動了一座由超過50,000個NVIDIA GPU驅動的「AI超級工廠」，用以同步設計、製程及品質控制。
As the demand for AI infrastructure skyrockets toward a $200 billion annual projection by 2027, the race to accelerate production yields and shorten time-to-market for innovations like HBM4E has intensified.
隨著AI基礎設施的需求飆升，預計到2027年將達到每年2,000億美元的規模，加速產能提升並縮短HBM4E等創新產品上市時間的競爭已愈趨激烈。
This collaboration creates a powerful cycle: AI-optimized tools are now building the very memory chips that fuel the next generation of AI accelerators, effectively transforming factories into intelligent, self-optimizing hubs of high-tech production.
這種合作形成了一個強大的循環：AI優化工具如今正用於製造那些推動新一代AI加速器的記憶體晶片，實質上將工廠轉化為智慧化、能自我優化的高科技生產中心。
