Meta and Firmus Signed Strategic AI Infrastructure Deals
The agreement secures compute capacity for Meta at new AI factory sites across Southeast Asia.
Updated on Sept. 28, 2026 in Data Centers

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Meta has entered into strategic agreements to utilize Firmus infrastructure for its artificial intelligence operations. The deal provides Meta with significant compute capacity at sites located throughout Southeast Asia.
Why it matters
Meta requires robust infrastructure to sustain its intensive AI research and model development initiatives. Firmus specializes in designing facilities that optimize compute performance relative to energy consumption.
The Melbourne site serves as the current anchor for the partnership, utilizing Nvidia Blackwell Ultra chip systems. Firmus engineers these facilities specifically to maximize compute performance per watt of energy consumed.
The players
Meta
A multinational technology conglomerate that focuses on social media, virtual reality, and extensive artificial intelligence research.
Firmus
A specialized provider of AI infrastructure that constructs and manages high-performance compute factories.
Nvidia
A leading designer of graphics processing units and specialized chips essential for training and deploying artificial intelligence models.
The details
Firmus continues to construct specialized AI factory sites throughout the Asia-Pacific region to meet growing technological demands. Meta acts as the anchor customer for these high-performance compute environments.
Timeline
September 22, 2026: Firmus and Meta announced the AI infrastructure agreements.
The Tech Race
The transition to specialized AI factories utilizing high-density hardware like Nvidia Blackwell Ultra chips represents a fundamental shift in how tech giants secure reliable compute power. This race for performance efficiency forces firms to move beyond traditional data centers toward custom-built compute infrastructure.
The expansion of these AI factories supports the development of more advanced models that drive consumer features like generative AI and virtual assistants. Enhanced infrastructure capacity ultimately enables faster, more capable AI services for global users of Meta platforms.
The takeaway
The partnership highlights how massive AI model development requires deep integration between software leaders and specialized physical infrastructure providers. These agreements show that sustainable energy efficiency per unit of compute is becoming the primary metric for data center success.
Further reading
For more information on the evolving landscape of global compute facilities, visit our Data Centers section.
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