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When Speed Outruns Control: DevOps, APIs, and the Infrastructure Reckoning in AI
The shift that happened quietly Over the last few years, DevOps teams have become the largest consumers of infrastructure without most organisations fully noticing the impact. It started with cloud adoption, accelerated with APIs, and has now exploded with AI. Getting access to a model is as simple as calling an endpoint. Scaling usage is…
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Deploying Nutanix Enterpise AI on MicroK8s: A Home Lab Validation Guide (Not for Production)
Why this exists AI projects rarely fail because the models are bad. They fail because the plumbing is painful. In the real world, teams don’t struggle with training runs or benchmark scores, they struggle with: What starts as a proof of concept often collapses under its own operational weight. This is exactly the gap Nutanix…
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Why Liquid Cooling Won’t Take Off Until the Industry Fixes One Big Problem
A Silent Aisle, A Loud Truth The data centre aisle was unnervingly quiet. High-density AI servers hummed with an intensity that pushed the limits of what traditional airflow could sustain. In the middle of this familiar landscape sat a single liquid-cooled node: compact, efficient and completely alone. It looked like a glimpse of the future…