MinerU全面深度适配主流国产算力，10余家国产AI芯片在列

Group 1 - The collaboration between OpenDataLab, DeepLink, and domestic chip manufacturers has led to the adaptation of over 10 mainstream domestic computing power solutions, enhancing the ecological compatibility and adaptability of the MinerU project [1] - MinerU's self-developed VLM model achieves an accuracy rate of 99% in capturing elements from PDFs and complex web pages, enabling precise restoration and structured extraction of intricate mathematical formulas and nested structured tables [1] - The core value of MinerU lies in its cross-industry applicability and high parsing precision, serving as an efficient data production engine for large model development and a precise document parsing tool for government and enterprise sectors [1] Group 2 - TaiChuang YuanQi has completed the adaptation of over 30 AI large models to domestic computing power, including models like DeepSeek, Qianwen, and MinerU, covering various series such as Qwen3 Dense/MoE and multi-modal understanding models [2] - The ongoing updates and adaptations aim to accelerate the integration of intelligent computing with industry, enhancing the capabilities of both AI models and domestic chip manufacturers [2]