AI Infrastructure
The compute, chips, data centers, and energy behind AI, and the constraints that shape what gets built.
50 stories · page 3 of 3
The Real AI Cost Problem Is Storage, Not Chips
Google has launched a high-speed cloud storage product aimed at AI workloads, and while it sounds technical, it points to a much bigger issue that every business running or evaluating AI needs to understand: the expensive computing hardware powering AI sits idle far more than anyone admits, and storage is usually the reason.
June 2, 2026 · 2 min read
The Hidden Cost of Running Your Own AI Engine
Superhuman's decision to hand off its AI serving infrastructure to Databricks after years of building it in-house reveals a pattern that every organisation deploying AI at scale will eventually face: the real cost of running your own AI is not hardware, it is the engineering time consumed just keeping the lights on.
June 2, 2026 · 2 min read