thermal

Derive cooling flow for a 4.8 MW hall, separate liquid and air loads, and test CDU capacity and redundancy at the actual design conditions.

Define acceptance with component and system tests, absolute targets, peer comparisons and documented retests. Interpret burn-in exposure without treating it as a reliability guarantee.

Compare cooling methods from the supported hardware and heat path. Calculate airflow or liquid flow, then verify capacity, residual air load and failure response.

Reproduce the baseline, compare equivalent work, and trace the missing time. Acceptance, production and the original plan may differ in more than one way.

Confirm the event definition and exposure, compare cohort rates, then test whether the cause follows a module, location or optical path.

Build an acceptance suite around the node’s intended workload and supported hardware limits. Combine configuration, correctness, communication and sustained-load evidence, then record a baseline and an explicit return-to-service decision.

Correlate clock-event reasons, temperature, configured limits and workload timing. Use the scope of the slowdown to choose the next investigation, and distinguish intentional power limits from unexpected thermal constraints.

Loss of cooling can outpace human response. Use a simple heat calculation to explain why protection must be automatic, then distinguish that illustration from the installed system’s validated behavior.