AI Data Centers · Tue 10 Nov

AI data centers are the physical facilities built to house the specialized hardware and networking required to train and run machine learning models. Truncated covers facility design, power sourcing, cooling technologies, infrastructure investments and regional development.

Tuesday 10 November

Bitcoin Miner HIVE Eyes $45 Million in Annual Revenue From AI Deal

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AI-generated summary Bitcoin miner HIVE Digital Technologies reports that its Big Boden facility in Sweden could generate $45 million in annual revenue from artificial intelligence through a long-term colocation arrangement. CEO Aydin Kilic stated that negotiations with an unnamed Swedish technology company continue as the firm plans to retrofit the data center for Nvidia GPUs.

Netcompany Signs DKK 325M Primary Investment at DKK 875M Valuation to Fund Gefion

AI-generated summary Netcompany signed an unconditional agreement on November 10, 2026, to invest DKK 325 million in the Danish Centre for AI Innovation to expand operations for the Gefion supercomputer. Netcompany said that its Feniks Governance software provides secure orchestration to turn raw GPU capacity into an enterprise-grade service for users across various sectors.

SoftBank, Petros, and Grab plan Malaysian data center buildout with "long-term target" of 5GW

AI-generated summary SoftBank, Petroleum Sarawak Berhad, and Grab signed a Joint Development Agreement for a Malaysian data center venture starting with an initial investment of 1 billion dollars. The three companies stated a long-term target of five gigawatts of compute in the Sarawak region and plan to seek additional investors and hyperscaler customers.

The CIO dilemma: Scaling production AI without breaking the power grid

AI-generated summary HPE and AMD are partnering to provide enterprise infrastructure that combines AMD EPYC processors, AMD Instinct GPUs, and HPE Cray architectures to scale artificial intelligence and high-performance computing workloads. To address power consumption and data center scalability, AMD EPYC CPUs and HPE thermal management technologies aim to improve energy efficiency while integrating hardware-based security features.

Hybrid system could make cooling AI data centers cheaper and more efficient

AI-generated summary Researchers at the University of Waterloo are developing a hybrid cooling system that could make artificial intelligence data center cooling cheaper and more efficient. The system combines general immersion cooling using deionized water with targeted spot cooling using drops of costly coolant to handle sudden temperature spikes.

How AI Will Turn Sustainability Promises Into Progress In 2027

AI-generated summary In 2027, widespread AI adoption will intersect with sustainability, energy, and regulations as US data center power demand is forecasted to more than double from 31 gigawatts in 2025 to 66 gigawatts in 2027. A Gallup poll found that 71 percent of Americans oppose an AI data center being built in their area, and lawmakers introduced at least 375 data center bills in 2026.