The Texas AI Factory Race: Why Hyperscalers Are Betting Tens of Billions on One State
Drive west out of Abilene and the scrubland gives way to something that did not exist three years ago: a...
AI Hyperscale Infrastructure
Microsoft Fairwater and the Rise of the Distributed AI Superfactory
For most of the cloud era, the data center was the unit that mattered. You built a building, filled it...
Inside the AI Accelerator Market: GPUs, Custom ASICs, and Who Wins Inference
AI accelerators used to mean one thing: an NVIDIA GPU. Today the field is crowded. Hyperscalers build their own chips,...
Multi-Trillion-Parameter Training: What the Next Silicon Generation Must Deliver
The compute ceiling for frontier models is no longer set by any one chip. It is set by the whole...
Capex Arms Race: Mapping Hyperscaler AI Spend and What It Buys
Every quarter, the earnings season now doubles as an infrastructure census. Between 21 and 29 October 2026, Meta, Microsoft, Alphabet...
Vertical Integration or Cosplay? Why AI Labs Want Dirt-to-Model Stacks
A few years ago, an AI lab's supply chain fit on one invoice: rent GPUs from a cloud provider, train...
Can Nuclear Power AI in Time? SMRs, Large Reactors, and the 2030 Gap
Hyperscale AI campuses are being planned in months. Large nuclear plants are built over decades. Between those two clocks sits...
Power, Water, and Local Pushback: The Hidden Constraints on AI Campuses
Chip supply, model rankings, and capital expenditure dominate AI headlines. On the ground, a quieter set of constraints is deciding...
InfiniBand vs Ethernet for AI Clusters: The Fabric War Inside the AI Factory
Figure 1. Conceptual view of a GPU fabric inside an AI factory: east–west paths that keep accelerators busy. (AI-generated illustration...
How Distributed AI Superfactories Stretch the Network Between Campuses
Figure 1. A multi-campus AI network turns separate power-constrained halls into one logical superfactory—if the interconnect can keep collectives predictable....
