Bitdeer Chairman Jihan Wu Announces Phased GPU Deployment Goals
Jihan Wu, Chairman and CEO of Bitdeer, stated that the company's next GPU deployment target is 10,000 units, followed by an expansion to 100,000 units, ultimately reaching a scale of 1 million units.
This phased plan marks a rapid leap for Bitdeer from its current deployment level to large-scale AI/HPC computing infrastructure.
In terms of market dynamics, the demand for AI training and inference continues to surge, and Bitdeer directly benefits from the GPU supply-demand gap through its own computing power expansion. Capital is shifting from Bitcoin mining to high-performance AI computing deployments, with Bitdeer, as a publicly listed company, receiving direct financing support from the capital markets.
Source: Public Information
ABAB AI Insight
Jihan Wu, as a co-founder of Bitmain, has driven the company's split since 2018 and took Bitdeer public in the U.S. in 2023. Previously, he had shifted part of the Bitcoin mining power towards AI/GPU business transformation. This announcement of the 10,000 → 100,000 → 1 million unit targets continues his strategic shift from a mining equipment manufacturer to an AI computing operator.
In terms of capital pathways, Bitdeer is redirecting IPO funds and subsequent financing resources from Bitcoin mining equipment procurement to large-scale GPU cluster construction, motivated by capturing the long-term demand dividend for AI computing power. By building its own data centers, it locks in electricity and hardware resources, forming a vertical integration advantage while reducing dependence on a single cryptocurrency cycle.
Similar to the explosive GPU expansion paths of AI cloud service providers like CoreWeave and Lambda, current cryptocurrency mining companies are at a critical window of transformation from Bitcoin mining to AI computing control. Bitdeer's target scale has entered the competitive ranks of the industry's top tier.
Essentially, this represents a restructuring of the industrial chain: computing power infrastructure is shifting from Bitcoin-specific ASICs to general-purpose GPU clusters. The mechanism is that the exponential growth in AI training's demand for parallel computing makes GPUs a new scarce resource. Transformative players like Bitdeer are accelerating the concentration of capital from cyclical cryptocurrency mining to sustainable AI computing pricing power through large-scale deployments that directly reuse existing mining infrastructure, electricity contracts, and operational capabilities.
ABAB News · Cognitive Law
The goal is never the endpoint, but rather breaking down ambition into executable gradients. Mining earns cyclical money, while AI computing earns structural money; the earlier the transformation, the greater the leverage of reusing old assets. When a million GPUs become the new target, the competition in computing power has shifted from who has more machines to who can establish scale as a barrier first.