MinerU Adapted to Run on 10 Chinese AI Chip Platforms

# MinerU Adapted to Run on 10 Chinese AI Chip Platforms: Why It Matters for Technology Supply-Chain Independence

Chinese AI developers have received a long-awaited tool for reducing their dependence on Western hardware. The OpenDataLab team at the Shanghai AI Laboratory, working with DeepLink and several domestic chipmakers, has announced it completed the adaptation of MinerU, a high-precision document parser, to run on more than 10 different locally made computing platforms. They include the Ascend, T-Head and Metax architectures. The work highlights the region's broad push to reduce technological dependence and build its own innovation ecosystem.

MinerU is not just another text-processing tool. It is a specialized system that converts complex PDFs, web pages, math formulas and tangled tables into structured data that large language models can process properly. Conversion accuracy reaches 99%, which matters because the quality of a training dataset directly affects the capabilities of the resulting model. In essence, MinerU addresses a long-standing bottleneck in preparing data for AI systems: how to extract meaning from millions of unstructured documents sitting in corporate archives and government registries.

The problem is not merely theoretical. When companies and government agencies try to digitize their archives or assemble datasets for model training, they face a flood of PDFs, scanned documents and tables that must be converted into a machine-readable format. Doing this by hand is impossible, and existing solutions often lose context, distort formulas or misinterpret visual elements. MinerU handles this task with near-perfect accuracy, which lets organizations save months of work and human effort.

So what is the real significance of the news? Adapting MinerU to 10+ domestic chip platforms means Chinese developers can now build a full AI production cycle without turning to American or European components. That covers every stage, from data collection and preparation to model training. When the infrastructure runs on local chips, whether Huawei's Ascend or Alibaba's T-Head, the entire value chain stays in the country.

The geopolitical context is unavoidable. Tense relations between the West and China led to sanctions on exports of advanced semiconductors, forcing the region to invest in its own development. OpenDataLab chose this moment to complete the MinerU adaptation, which signals that the local technology base is developed enough to launch complex engineering projects. This is not just a technical success; it is a demonstration of the state of the local AI industry.

For users in the global market, this means an alternative source of data and document-processing tools. For Chinese companies and government bodies, it opens the way to scaling AI projects without hardware constraints. And although the adaptation does not change the technology itself, it changes the economics of using it: working with MinerU is now cheaper, and without worrying about sanctions affecting the supply chain.