Sakana AI發佈“AI CUDA工程師”：自動化優化CUDA內核，速度提升高達100倍
日本人工智能初創公司Sakana AI宣佈推出“AI CUDA工程師”（AI CUDA Engineer），這一創新性的AI智能體系統旨在自動化生產高度優化的CUDA內核，顯著提升機器學習操作的運行效率。根據X平臺上的最新消息，該系統通過進化的大型語言模型(LLM)驅動代碼優化技術，將常見PyTorch操作的運行速度提高了10至100倍，標誌着AI技術在GPU性能優化領域的重大突破。Sakana AI表示，CUDA內核作爲GPU計算的核心，直接編寫和優化通常需要深厚的專業知識和高技術門檻，而現有框架如PyTorch雖然使用便捷，但在性能上往
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