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AI Computing Infrastructure Undergoing 'Power Delivery' Physical Bottleneck Test

Geoff Woo stated that AI computing is currently playing an infrastructure role until the power delivery chain is finally signed off.

GPU allocation sounds digital, but transformers, switchgear, cooling circuits, and interconnection research are all highly physical.

Models can be released tonight, but powered racks cannot.

In market mechanisms, data center operators and energy companies become the main buyers, with AI computing demand driving funds towards power infrastructure and hardware supply chains, putting short-term pressure on chip companies while benefiting long-term power solutions.

Source: Public Information

ABAB AI Insight

Geoff Woo, as an observer of AI infrastructure, has previously pointed out that the computing bottleneck has shifted from chips to energy, and this comment continues his analysis of how physical constraints limit digital growth.

In terms of capital pathways, AI companies and hyperscalers are making large-scale investments in data center power upgrades, motivated by the need to break through power wall limitations for training scale, shifting resources from GPU procurement to substations, cooling, and grid collaboration, forming a new capital-intensive cycle of infrastructure in the AI era.

Similar to the early expansion of cloud computing data centers being limited by power, AI is currently at a critical stage of transitioning from model release to physical energy infrastructure.

Essentially, this is a limitation of technological substitution: despite rapid iterations in model capabilities, physical constraints such as power delivery have become new bottlenecks, forcing capital to concentrate on energy and hardware stacks, restructuring AI growth from pure computing power to a power-computing synergy.

ABAB News · Law of Cognition

  1. The more dazzling the digital, the more real the physical.

  2. Models can be released tonight, but electricity requires years for approval.

  3. Ultimately, AI is not a competition of computing power, but a competition of power and infrastructure.