Speed and Scale: How Today's AI Datacenters Are Operating Through Hypergrowth

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Feb 3, 2026

Kris Beevers, CEO and co-founder of NetBox Labs and veteran network engineer with a Ph.D., discusses how modern AI datacenters handle hypergrowth. He talks about modeling infrastructure as a single system of record, tackling power and procurement bottlenecks, and using programmatic blueprints and digital twins to speed builds. He highlights rapid iteration, robotics in racking, and the need for vendor data standards for automation.

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ANECDOTE

Turbines In The Parking Lot

Some builders are literally buying turbines and putting them in parking lots to get power online quickly.
That pragmatic, scrappy approach shows how fast teams must move when the grid can't keep up.

INSIGHT

Rapid Vendor Iteration Creates Fragility

Hundreds of vendors sell components that iterate rapidly, producing complex procurement and compatibility challenges.
Frequent vendor product cycles (e.g., new NVIDIA architectures) force continuous redesign and procurement changes.

ADVICE

Operate From Design Intent

Manage infrastructure from intent by carrying design data through procurement and operations.
Encode design parameters (power, thermal, rack layout) into a data model early to avoid ordering and integration errors.

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