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Noon Energy Announces Landmark Agreement With Meta Platforms To Reserve Up To 1 GW / 100 GWh Of Ultra-Long Duration Energy Storage Capacity

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Representational image. Credit: Canva

Noon Energy has announced a major agreement with Meta Platforms to reserve up to 1 GW / 100 GWh of ultra-long duration energy storage capacity. This marks one of the most significant commitments to long-duration storage made by a hyperscale technology company to date. The collaboration will start with a 25 MW / 2.5 GWh project that is planned for completion in 2028. Once this initial project is successfully delivered, Noon will begin supplying systems under a broader 1 GW / 100 GWh supply contract. The partnership supports Metaโ€™s goal of ensuring reliable and clean energy availability for its next-generation AI infrastructure, which requires stable power to operate at scale.

Noonโ€™s technology is designed to unlock dependable energy supply from rapidly deployable renewable sources, making it well suited for large data center operations. Noonโ€™s systems use modular, reversible solid oxide fuel cell technology that can store energy for 100+ hours, enabling multi-day discharge when renewable generation is low. This provides a clean, consistent baseload power supply and helps address one of the biggest challenges in renewable energy: maintaining grid reliability during periods of low wind or sunlight.

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The company emphasized that this agreement represents a major milestone. Noon views hyperscale data centers as one of the strongest use cases for its storage technology due to their high, round-the-clock energy needs. The partnership will also support the development of production capacity and a long-duration storage supply chain over the coming years. Meta highlighted that bringing new data centers online quickly depends on access to reliable and rapidly deployable power solutions. By integrating Noonโ€™s ultra-long duration storage technology, the company aims to strengthen grid resilience, secure firm clean power, and accelerate the rollout of its AI-driven infrastructure.


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