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Meta has entered into a capacity‑reservation agreement with Firmus, an Australian AI‑infrastructure provider, to rent Nvidia‑based AI chips at data‑centre sites in Southeast Asia. The deal gives Meta a guaranteed amount of capacity that can be expanded if needed, and the chips will be used for research, building and training Meta’s own AI models. The agreement builds on an existing partnership in Australia where Meta uses Nvidia Blackwell Ultra chips housed in Firmus’s HyperCube units. The new sites will host Nvidia’s DSX design, with the latest HyperCube units also supporting the upcoming Vera Rubin chips. Financial terms and the exact locations of the Southeast Asian sites were not disclosed. The announcement comes a week before Firmus begins its book‑building process for a planned October 6 stock‑market debut, where it aims to raise about $5 billion.
Meta and Firmus announced that Meta will reserve a defined amount of AI‑chip capacity at Firmus‑operated data centres in Singapore, Indonesia and Malaysia. The agreement allows Meta to add more capacity if needed, indicating a flexible, scalable arrangement.
The chips will be Nvidia’s DSX design installed inside Firmus’s HyperCube units, which are manufactured in rural New South Wales and come with integrated cooling and power systems. The latest HyperCube model can also accommodate Nvidia’s upcoming Vera Rubin chips, suggesting future‑proofing of the infrastructure.
Financial terms were not disclosed, and the specific data‑centre locations within the three countries were not revealed. The partnership builds on an existing Australian deployment where Meta uses Nvidia GB300 systems, described by Firmus as the largest collection of Nvidia Blackwell Ultra chips south of the equator.
The announcement precedes Firmus’s planned share‑market debut on 6 October, where the company intends to raise roughly $5 billion, positioning it as Australia’s second‑largest listing. Firmus already operates seven AI sites across Australia, Singapore, Indonesia and Malaysia, with two sites already active.
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The partnership signals Meta’s strategic push to secure dedicated AI‑ resources outside the United States, reducing reliance on Western data‑centre providers and potentially lowering for regional users. By locking in capacity in Singapore, Indonesia and Malaysia, Meta can accelerate the development of its next‑generation AI models, which are central to its product roadmap that includes the Muse agent and other services. The deal also highlights the growing role of specialised AI‑infrastructure firms like Firmus, which are scaling up with Nvidia’s latest chip designs. For the broader AI ecosystem, the agreement underscores the importance of regional compute hubs in supporting the global AI race and may encourage other large tech firms to diversify their hardware supply chains. However, the lack of disclosed pricing and site specifics leaves open questions about cost competitiveness and the timeline for Meta’s model training activities in the region.
Securing capacity in Southeast Asia helps Meta mitigate geopolitical and supply‑chain risks associated with relying solely on U.S. data‑centre providers, a concern that has grown amid recent regulatory scrutiny of large AI models.
The deal gives Meta direct access to Nvidia’s latest chip architectures, which are essential for training large‑scale generative models like the Muse agent. Faster, regionally‑located can reduce training time and improve model iteration cycles.
Firmus’s role as a specialised AI‑infrastructure provider illustrates the emergence of a new class of regional data‑centre operators that partner with major cloud and AI firms. Their ability to deploy cutting‑edge hardware quickly could reshape the competitive landscape for AI .
The lack of disclosed pricing and site details means analysts cannot yet assess the cost efficiency of Meta’s regional strategy, leaving an open question about whether this model will be replicated by other tech giants.
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Key developments to monitor include: (1) the exact amount of capacity Meta ultimately reserves and whether it expands beyond the initial allocation; (2) the rollout schedule of the new Southeast Asian sites and which of Meta’s AI projects will first utilize the hardware; (3) any disclosed pricing or cost‑benefit analysis that could indicate Meta’s financial commitment to regional AI ; and (4) how competitors respond, potentially sparking a wave of similar regional infrastructure deals.
Capacity expansion: Whether Meta will increase its reserved beyond the initial allocation, indicating the scale of its upcoming AI projects.
Site rollout: The timeline for bringing the new Southeast Asian sites online and which specific Meta AI initiatives will be prioritized.
Pricing transparency: Any future disclosure of financial terms that could reveal Meta’s cost structure for regional AI .
Competitive response: Potential announcements from rivals such as Google, Amazon or Microsoft about similar regional infrastructure deals.