Firmus and Nvidia build a 360 MW AI data center in Batam, Indonesia

Most large AI data center deals are built for a single deep-pocketed tenant - one cloud giant signs for the whole campus and absorbs the capital risk. Firmus is doing the opposite in Batam. Instead of serving hyperscaler clients the way its Australian projects do, the 360 MW campus will be multi-tenant: Firmus buys Nvidia infrastructure wholesale and resells Nvidia-powered cloud services to what it calls AI-native customers ^[1].

The pitch is essentially a financing-arbitrage one. Big AI companies get cheap capital because they have strong credit ratings; smaller, fast-growing AI startups do not, so their cost of compute is structurally higher. Firmus co-CEO Tim Rosenfield frames the deal as a way to close that gap - what he describes as a really material way to level the playing field a little bit to give the next a chance to compete with the big guys ^[2]. In practice that means Firmus and Nvidia absorb the credit and offtake risk through a revenue-sharing and credit-support structure, then pass the resulting scale economics down to tenants who could never command those terms alone. It is less a real-estate deal than an attempt to mutualize Nvidia-grade pricing power for the long tail of the AI market.

The structure that makes the deal attractive is also what draws the sharpest scrutiny. Nvidia sits in three seats at once here: it is an existing investor in Firmus, the named anchor on the chip-supply side, and - through the revenue-sharing and credit-support agreement - effectively a participant in the demand it is helping finance ^[1]. Retail-investor commentary, particularly in Australian finance communities, has zeroed in on exactly this circularity, warning that capacity is being committed against a projected pipeline of customer demand rather than fully signed revenue.

The numbers amplify the concern. Firmus projects up to $30 billion in committed offtake over six years ^[3], but that figure rests on closing tenant contracts and on 170,000 chips arriving on schedule between 2027 and 2028. Rosenfield's counter is that Firmus builds off contracted demand and treats AI stock-market swings as largely irrelevant ^[1]- a claim that only holds if the offtake hardens into signatures. The contrarian read on community boards is not that the project fails, but that an investor-supplier-customer loop can make a demand pipeline look more solid than the underlying signed revenue actually is.

A 360 MW campus is, first and foremost, a power problem. Nvidia VP Marc Hamilton frames it bluntly: AI workloads are scaling toward gigawatts, and their relationship with power delivery systems is one of the defining engineering challenges of our era ^[4]. Firmus has leaned into that framing, pairing the build with grid-integrated AI-factory software and arguing, through CTO Daniel Kearney, that the AI factory of the future must be as intelligent about energy as it is about compute ^[4].

This is where the developer community's reading gets interesting. Discussion among technical viewers has reframed the buildout less as a chip-count story and more as an efficiency-per-watt story - the idea that the binding constraint is tokens produced per finite watt, not raw GPU headcount. That angle dovetails with a broader argument circulating among infrastructure engineers: that memory and cache, not GPU quantity, increasingly gate inference throughput, so squeezing more useful output from the same power and silicon budget is where the real leverage sits. For a multi-tenant operator reselling capacity on margin, that efficiency framing is not a nicety - it is the difference between a profitable wholesale model and an expensive one.

The location is a deliberate piece of the strategy. Batam is an Indonesian island just off the coast of Singapore ^[1], which lets the campus tap proximity to Singapore's financial and tech ecosystem while sidestepping Singapore's famously constrained market for land and power. Singapore has spent years rationing new data center capacity; Batam offers the adjacency without the bottleneck.

The site also leans on existing infrastructure rather than starting from raw ground. Co-developer DayOne already operates capacity in Batam as the overseas arm of GDS Holdings ^[5], giving the project a regional footprint and development track record from day one. Put together, the geography turns a national infrastructure announcement into a regional one: a 360 MW multi-tenant DSX factory positioned to serve AI-native customers across Southeast Asia, anchored to Singapore's gravity but built where the watts and the land actually exist.