MEP Providers Are Never in the Postmortem

In 2021, I bought a home in Florida. The closing was in August, so imagine the hot summer days with temperatures over 100 degrees and humidity over 80%. When we selected the builder, I noted 2 things: HVAC with 15 SEER and insulation R-39. My house would be minimally energy efficient. I had no option to upgrade the HVAC, but 15 SEER is “good enough”. First week in the house, my wife realized I was getting bothered every time the compressor kicked in - there was a subtle, almost imperceptible, hit on the lights - nobody realized it, but I did. Battle-proven engineer with experience in thermal and power transiency. What could happen? ...

January 7, 2026 · 4 min · Stefano Schotten

Telemetry That Lies: Why GPU Thermal Monitoring Is Harder Than It Looks

The “Everything Is Green” Problem Here’s a realistic scenario I’ve seen in different forms across fleets (this is a composite, not a single true story with exact numbers): A training run is supposed to take ~3–4 weeks. Two weeks in, someone notices the timeline slipping. Not a crash. Not a failure. Just… slow. The job is running 10–30% behind plan, and nobody can point to a smoking gun. The dashboards look perfect: ...

December 27, 2025 · 7 min · Stefano Schotten

Predictive Power Conditioning for GPU Clusters

GPU clusters don’t fail from sustained load. They fail on transitions. A pod idling at 20 kW can step toward 300 kW quickly when training begins. The peak matters, but the killer is the step: the dP/dt that forces every layer of the electrical path to react at once. Thermals matter too—but they’re secondary and collateral. Power transients can push protection and control behavior in cycles. Thermal consequences show up later as throttling, efficiency loss, and “mysteriously slower training” that looks like a software problem until you instrument the facility. ...

December 18, 2025 · 5 min · Stefano Schotten

HVAC Doesn't Create Cold — It Removes Heat

This is the first of a series of URE articles about thermal management in data center environments—not theory, not “best practices,” but what actually happens when heat meets physics and scale. Here’s a simple puzzle from two idle machines. ai01 — home lab, Threadripper 32-core with 2× NVIDIA GPUs (NVLink), rack-level liquid cooling loop, used for ML training and vLLM inference: Tctl: +33.0°C Tccd1: +33.2°C Tccd5: +31.5°C nj01 — third-party datacenter (colo), Ryzen 12-core, air-cooled: ...

December 7, 2025 · 4 min · Stefano Schotten