AtomGit平台
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华为、百度等多方共建AtomGit平台 AI开源社区发展按下“快进键”
Ke Ji Ri Bao· 2025-11-09 23:39
Core Insights - The AtomGit platform, themed "Co-construction, Co-intelligence, and Sharing," is set to launch on November 21, integrating open-source and artificial intelligence infrastructure [1][2] - The establishment of the AI open-source community aims to enhance China's original innovation capabilities in AI and support high-quality development in the industrial and information sectors [1][2] Industry Trends - Artificial intelligence is becoming a core driver of global technological competition and industrial transformation, with the open-source ecosystem entering a "new open-source era" driven by large models and intelligent agents [2] - China ranks among the top countries in AI research paper publications and patent filings, holding approximately 18% of the global model market share, while the U.S. holds about 37% [2] Platform Features - AtomGit will provide a comprehensive service system covering "code + model + environment + computing power," supporting domestic chips and mainstream deep learning frameworks [2][4] - The platform aims to facilitate collaboration in computing power, model training, and data ecosystem openness, creating a full-chain synergy from models to computing power [2][4] Collaborative Efforts - Various stakeholders, including enterprises, communities, and developers, are encouraged to collaborate on the AtomGit platform to advance open-source projects and cultivate AI talent [3][4] - Major companies like Huawei and Baidu are actively participating in the AtomGit community, contributing their technologies and resources to define new standards and promote collaborative innovation [4][5] Future Goals - The three-year goal for the AtomGit platform is to establish a leading global AI open-source and model collaboration platform, fostering a sustainable AI open-source industry foundation [5] - The open-source community is urged to embrace international cooperation and enhance the integration of open-source concepts into talent cultivation systems [5]