不要死磕CUDA，国内首个Triton技术大会官宣，AI芯片编程迎来新范式

Core Viewpoint - The article discusses the emergence of Triton as a user-friendly programming tool for AI chip development, aiming to lower the barriers for developers previously reliant on complex languages like CUDA [1][2][3]. Group 1: Triton Overview - Triton allows developers to write high-performance GPU code in a Python-like syntax, making it accessible to a broader audience [3]. - The integration of Triton with the PyTorch ecosystem enhances its usability and performance, making AI chip programming more approachable [3]. Group 2: Triton Next Conference - The Triton Next conference is scheduled for January 9, 2026, in Beijing, organized by the FlagOS community and the Beijing Academy of Artificial Intelligence [4][16]. - The conference aims to explore the current state and future developments of Triton, including discussions on its compiler and potential applications [5][6]. Group 3: Conference Agenda - The morning sessions will focus on the foundational principles of Triton, recent academic research, and the latest developments in the FlagOS community [7]. - Afternoon sessions will highlight practical applications of Triton, featuring insights from various teams on building next-generation AI models and addressing hardware compatibility challenges [11]. Group 4: Workshops and Training - The conference will include hands-on workshops designed to help developers apply Triton in real-world scenarios, covering topics like operator training and compiler usage [15][18].