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Home » Ant Group’s Open-Source Ring 2.6-1T Model Supports High and XHigh Inference

Ant Group’s Open-Source Ring 2.6-1T Model Supports High and XHigh Inference

Seok Chen by Seok Chen
May 16, 2026
in AI
Reading Time: 1 min read
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Ant Group has announced the launch of its groundbreaking open-source model, Ring-2.6-1T, which is capable of supporting trillion-parameter-scale thinking capabilities. This new development marks a significant milestone in the realm of large-scale AI models, offering both high and extra-high inference strengths to cater to diverse application requirements.

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The model, developed by Ant Group’s AI research team, aims to propel the industry forward by providing an accessible yet powerful tool for researchers and enterprises alike. Its open-source nature is expected to accelerate innovation, enabling a broader range of projects to leverage its extensive processing capacity.

Ring-2.6-1T stands out for its ability to switch seamlessly between different inference intensities, giving users the flexibility to optimize performance based on their specific needs. Whether prioritizing speed or precision, developers can now select the appropriate inference mode — high or extra-high — to enhance their AI applications.

This advancement underscores Ant Group’s ongoing commitment to advancing AI technology and promoting open collaboration within the industry. By sharing such a formidable model with the community, the company hopes to foster a new wave of innovation that can be applied across various sectors, including finance, healthcare, and smart city initiatives.

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As large language models and AI systems continue to evolve, the release of Ring-2.6-1T signals a bold step forward, potentially expanding the possibilities for what artificial intelligence can achieve in real-world scenarios.

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Seok Chen

Seok Chen

Seok Chen is a mass communication graduate from the City University of Hong Kong.

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