Bitdeer Secures Over 70 Percent of Malaysia AI Cloud Capacity

Yahoo Finance ·

Bitdeer Technologies Group announced that its Bitdeer AI division has secured off-take commitments for more than 70 percent of the capacity at its upcoming AI cloud data center in Malaysia. The Johor Bahru facility features roughly 21.7 megawatts of AI cloud capacity and is projected to generate about 1.7 billion dollars in revenue over a five-year period. To power the site, Bitdeer AI is purchasing NVIDIA GB300 NVL72 systems, ensuring rapid deployment and scalable graphics processing unit capacity. This milestone helps transition the company toward recurring, infrastructure-focused revenue streams alongside its traditional bitcoin operations. The primary operational test will be the energization and ramp-up phase scheduled for the first quarter of 2027 at the A201 site. Investors will be closely monitoring how effectively the total expected revenue backlog of 2.9 billion dollars translates into invoiced sales and actual cash inflows as customers begin utilizing the contracted capacity.

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Bitdeer Technologies Group (BTDR) announced that it has signed off-take agreements for over 70% of its AI cloud data center capacity in Johor Bahru, Malaysia. This secures approximately $1.7 billion in revenue backlog over the next five years and drives the adoption of NVIDIA GB300 NVL72 systems. Investors are focusing on the visibility of the transition from traditional Bitcoin mining to a recurring AI infrastructure revenue model.

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Bitdeer's contract for its Malaysian AI cloud facility provides stable cash flow visibility by pre-empting over 70% of its approximately 21.7MW capacity and generating $1.7 billion in expected revenue over five years. In particular, the ability to expand high-performance computing through the deployment of NVIDIA GB300 NVL72 systems acts as a key driver for corporate valuation re-rating.

The bullish scenario involves the A201 going online and GPU deployment proceeding as planned in the first quarter of 2027, rapidly converting the contract backlog into actual billed revenue, while the bearish scenario highlights the burden of R&D costs and execution risks from capital-intensive projects. Key monitoring metrics are the utilization rate and the actual revenue conversion rate.

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