AI Infrastructure Operations Survey — 2027 Edition
A planned survey of how teams actually operate AI infrastructure in production — what breaks, what is measured, and where engineering time goes. Not yet conducted.
Research
Most published numbers about AI infrastructure come from someone selling a layer of it. Our research programme exists to produce measurements with a stated method that anyone can argue with. Nothing here is published before it has been run.
Four commitments that decide what appears on this page and what does not.
Every published report states how the measurement was taken, in what environment, with which versions, and what we could not control for.
Where a report is based on measurement, the underlying dataset is published with it under a stated licence. A chart you cannot check is an assertion.
Projects that have not been run are listed as planned. There are no preview figures, no illustrative numbers, and no placeholder findings.
Benchmark code goes in a public repository so someone can disagree with us using the same harness.
Programme
Current state is shown for each project. Nothing is presented as a finding until it is one.
A planned survey of how teams actually operate AI infrastructure in production — what breaks, what is measured, and where engineering time goes. Not yet conducted.
A planned recurring measurement of accelerator pricing across cloud providers, normalised so the comparison is meaningful. Methodology published before data collection begins.
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A practical weekly briefing on AI engineering, infrastructure, production operations, and the technologies powering the AI stack.
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