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Microsoft exploring using advanced power lines to make data centers more energy-efficient

Plus: Chinese hyperscalers and industry-specific agentic AI

Author

Hafizur Rahman
February 10, 2026

In partnership with

Today's Newsletter Highlights:

🎇 AI NEWS TODAY 🎇

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Key Highlights:

  • Alibaba: Uses its open-source Qwen AI model family to create solutions for finance, logistics, and customer support. The Qwen App, based on these models, has gained many users by automating tasks in Alibaba's commerce and payment systems. Alibaba also launched Qwen-Agent. This open-source framework helps others build autonomous systems.

  • Tencent: Provides the Youtu-Agent framework and various scenario-based AI tools through Tencent Cloud. These tools are available internationally, but their use outside China is still limited.

  • Huawei: Combines model development with infrastructure. Huawei Cloud uses a 'supernode' architecture. This supports large-scale agentic AI workloads. The Pangu family of models suits sectors like telecommunications, utilities, and manufacturing. They help with tasks like predictive maintenance and resource allocation. They require minimal human input.

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Microsoft exploring using advanced power lines to make data centers more energy-efficient

This effort helps U.S. growth. HTS cables can carry the same electricity as copper or aluminium wires, but they take up less space.

Key Points:

  • This means more electrical capacity without needing to expand physical structures like substations.

  • The technology uses a ceramic-like material that conducts electricity better. This could shrink power transmission infrastructure and lessen community impact.

  • Microsoft has successfully tested a three-megawatt HTS cable on a simulated server rack. VEIR, a superconducting firm that Microsoft is investing in, conducted the tests.

  • These cables are more than 10 times smaller and lighter than standard ones. This could help reduce data centre footprints. U.S. data centre energy use is set to hit 12% of national power by 2028. This innovation could help solve infrastructure issues and speed up deployment.

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