TL;DR · 30-second read

The Short Version

Bitdeer, a company that got its start mining bitcoin, is betting heavily on renting out powerful computers used to build and run artificial intelligence.

It signed a 10-year deal for a new building in southern Malaysia that will use enough electricity to run tens of thousands of homes. If the building earns what a similar Bitdeer site does, it could bring in about $1.1 billion a year.

That yearly figure is about two-thirds of what the whole company is worth on the stock market today. The catch: the power does not switch on until the second half of 2027.

Bitdeer Technologies Group’s AI cloud division, Bitdeer AI, has signed a 10-year service agreement for A202, a 65.1-megawatt data center in Johor Bahru, Malaysia, Cryptopolitan reported. The facility sits on the same campus as Bitdeer AI’s existing 21.7MW A201 site, bringing the campus to 86.8MW of critical IT load (the power available to the computing equipment itself, excluding cooling and other overhead). Power is expected in the third quarter of 2027, and the addition lifts Bitdeer AI’s secured AI cloud capacity to about 206.5MW, roughly 59% of its target of up to 350MW by the first quarter of 2028.

Bitdeer expects A202 to generate revenue per megawatt similar to its A102 facility, where contracts covering the next five years carry more than $800 million in expected revenue across 9.5MW. Applied to A202’s size, that works out to about $1.1 billion a year, the figure Cryptobriefing highlighted, while blockchain.news reported that the deal pushes Bitdeer’s AI pipeline toward $7 billion. Shares were quoted at $11.97, for a market capitalization of about $1.64 billion, though Stocktwits reported the stock slipped as a broader tech sell-off weighed on the sector.

Executive Summary

Bitdeer’s A202 agreement is the company’s largest single capacity addition in Southeast Asia and its clearest signal yet that a business built on bitcoin mining intends to become a long-term provider of AI computing. The 65.1MW facility is designed for liquid-cooled, rack-scale NVIDIA systems, including the GB300 NVL72 and the upcoming Vera Rubin platform, and will support both GPU cloud services (renting access to AI chips) and data-hosting workloads.

What makes the announcement significant is the combination of scale and funding model. Bitdeer says it aims to have customer prepayments cover more than half of the capital spending for each facility, with the rest financed from contracted and operating cash flow. If that works, the company can grow its AI business without leaning as heavily on new debt or share issuance. If demand or prepayments fall short, the revenue math behind the headline numbers becomes considerably less certain.

For the wider market, the deal adds another data point that operators with existing land, power and cooling infrastructure are competing hard for the next generation of AI hardware, and that Johor remains a focal point for that capacity in Southeast Asia.

The Revenue Math Behind the $1.1 Billion Figure

The headline revenue number is a derived estimate, not a disclosed contract value. Bitdeer’s A102 facility has more than $800 million in expected revenue over five years across 9.5MW, which is roughly $17 million per megawatt per year. Bitdeer says it expects A202 to earn similar revenue per megawatt; multiplied across 65.1MW, that yields approximately $1.1 billion annually once the facility is fully running.

That per-megawatt figure is high because GPU cloud is a different business from traditional data center leasing. A landlord that rents out space, power and cooling earns rent on the building. A GPU cloud operator also owns the chips and sells computing time on them, so revenue per megawatt is far higher, but so is the capital required. The comparison with Bitdeer’s roughly $1.64 billion market capitalization is striking, but it sets potential future revenue against current equity value and says nothing about the hardware costs, operating expenses or margins behind that revenue.

The estimate also rests on an assumption that A202 pricing will match A102’s. A102 is a 9.5MW deployment with contracts covering five years; A202 is nearly seven times larger, arrives in late 2027 on newer hardware, and sits inside a 10-year agreement. Pricing for AI computing can shift quickly as new chip generations arrive and supply catches up with demand.

Prepayments as the Financing Engine

Bitdeer’s stated plan is for upfront customer payments to cover more than half of each facility’s capital spending. Prepayment-funded buildouts have clear appeal: they reduce the need to raise outside capital, and a customer willing to pay in advance is signaling genuine commitment. For a company whose legacy business is exposed to bitcoin price swings, that is a meaningful source of discipline.

The trade-off is concentration risk. Prepayment structures typically depend on a small number of large customers with the balance sheets to pay ahead, and the remaining funding depends on contracted and operating cash flow materializing on schedule. Over a 10-year horizon, the hardware inside A202 will likely be refreshed at least once, raising the question of who funds the next generation of chips after GB300 and Vera Rubin systems age.

The Brownfield Advantage in Johor

A202 is being built on land Bitdeer AI already controls, next to the existing A201 facility. That lets the company extend power, liquid-cooling and network infrastructure it has already built, which Bitdeer says should shorten the time to full operation. In an industry where grid connections and specialized cooling are often the slowest parts of a project, expanding an existing campus is a genuine competitive edge.

Liquid cooling matters here because rack-scale systems like the GB300 NVL72 pack so much computing power into a single rack that air cooling cannot remove the heat effectively. Facilities built for these systems are scarcer than general-purpose data center space, which supports CFO Michael G. Potter’s claim that demand for “liquid-cooled, rack-scale AI Cloud capacity” for 2027 is outpacing supply. The claim is backed by A102 having been fully booked before it was energized; A201, by contrast, is in advanced negotiations rather than signed contracts.

From Miner to AI Landlord: Halfway There

With 206.5MW secured across Malaysia, Norway and the United States, Bitdeer is about 59% of the way toward its target of up to 350MW of AI-ready capacity by early 2028. Status as a preferred NVIDIA Cloud Partner gives it credibility in hardware allocation, a practical advantage when the newest systems are in short supply.

The company is running a hybrid model rather than abandoning mining, which keeps an existing revenue stream but also means two capital-hungry businesses competing for the same balance sheet. The market’s reaction captured the tension: a transformative-sounding pipeline, but a share price still moving with sentiment across the broader technology sector. Investors will judge the pivot less on secured megawatts than on how many of those megawatts turn into signed, paying contracts.

Background

Bitdeer Technologies Group is listed on Nasdaq under the ticker BTDR. It began as a bitcoin mining operation founded by Jihan Wu, the former CEO of Bitmain, one of the best-known makers of bitcoin mining machines. Like several miners, Bitdeer has sought to repurpose its experience securing large amounts of power and running dense computing facilities toward AI infrastructure, placing that effort in a separate division, Bitdeer AI, while continuing to mine.

Bitdeer AI’s capacity spans Malaysia, Norway and the United States, and the company has been named a preferred NVIDIA Cloud Partner. Its Malaysian campus is in Johor Bahru, across the causeway from Singapore, a location that has drawn significant data center investment as demand for AI computing in Southeast Asia has grown.

Sources

Source: Bitdeer signs 10-year deal for 65.1MW AI data center in Malaysia (Cryptopolitan), covering Bitdeer AI’s A202 agreement in Johor Bahru, its revenue expectations, prepayment funding plan and 350MW capacity target.