AI & GPU INFRASTRUCTURE

Guides on GPU colocation, power density, liquid cooling, and deploying AI workloads in purpose-built data centers.

GPU & HPC ColocationPower, Cooling & DensityAI: Colo vs. Cloud
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Dive deeper into ai & gpu infrastructure.

3 articles

GPU & HPC Colocation

Requirements, pricing, and planning for GPU cluster colocation at megawatt scale.

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3 articles

Power, Cooling & Density

Data center power architecture, 2N redundancy, liquid cooling, and kW/cabinet planning for high-density workloads.

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2 articles

AI: Colo vs. Cloud

Cost comparisons, cloud repatriation analysis, and decision frameworks for AI workloads outgrowing hyperscalers.

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Latest Articles

Why 2N Power Means Something Different for AI Clusters Than It Does for Standard Colo
power-cooling

Why 2N Power Means Something Different for AI Clusters Than It Does for Standard Colo

2N power redundancy means something different for AI clusters. Learn why independent grid sources matter more than generator backup for GPU workloads.

9 MIN READ
Why Liquid-Cooled GPU Colocation Beats Cloud for Long-Running AI Training in 2026
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Why Liquid-Cooled GPU Colocation Beats Cloud for Long-Running AI Training in 2026

Liquid-cooled GPU colocation costs 40–60% less than cloud for long-running AI training. Here's the infrastructure math that makes it obvious.

8 MIN READ
When Cloud GPUs Make Sense for AI and When They're Just Burning Your Budget
colo-vs-cloud

When Cloud GPUs Make Sense for AI and When They're Just Burning Your Budget

Cloud GPUs make sense for short bursts. For sustained AI training, GPU colocation cuts costs 40–60%. Here's how to know which fits your workload.

8 MIN READ
Why PUE Alone Doesn't Tell You What AI Workloads Actually Cost to Cool
power-cooling

Why PUE Alone Doesn't Tell You What AI Workloads Actually Cost to Cool

PUE doesn't capture what AI workloads actually cost to cool. Here's what metrics matter for GPU colocation and how to read them correctly.

8 MIN READ
Why H100 Clusters Overheat in Standard Colo and What 120kW Per Cabinet Actually Fixes
gpu-colocation

Why H100 Clusters Overheat in Standard Colo and What 120kW Per Cabinet Actually Fixes

H100 clusters demand 60–80kW per cabinet minimum. Most colo facilities cap at 10–15kW. Here's what 120kW/cabinet liquid cooling actually solves.

9 MIN READ
Why AI Training Costs More on Cloud GPUs Than Your Finance Team Realizes
colo-vs-cloud

Why AI Training Costs More on Cloud GPUs Than Your Finance Team Realizes

Cloud GPU pricing hides egress fees, idle time, and reserved instance traps. Here's what AI training actually costs vs. GPU colocation.

8 MIN READ
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