Rising power densities and energy costs are turning cooling into the most important efficiency lever in data centers. AI driven optimization can deliver measurable impact, but only if the technical and organizational prerequisites are in place: data availability, system access, controllability, and well structured operational processes.
That is exactly the purpose of the checklist “Is your Cooling Infrastructure ready for AI driven Optimization?” It is designed as a structured questionnaire that captures the most relevant foundations so that the etalytics team can provide a well founded assessment based on your inputs.
Purpose of the Checklist
The checklist is not a self assessment with a score. It is a fast and structured way to collect the relevant information so that etalytics can evaluate your AI Cooling Readiness and provide clear recommendations for the next steps.
The questions cover four main areas:
- General operational data such as size category or IT load, rough efficiency classification, operating model, and cooling concept
- Data and systems such as DCIM or BMS, energy meters and sensors, and platforms in use
- Operations and controllability such as proactive versus reactive management, monitoring versus active control, and available measurement points
- Regulatory requirements and verifiability such as EnEfG or ISO 50001, reporting structures, and auditability
How It Works: Complete, Submit, Receive Your Results
Download the checklist and complete it by compiling a clear overview of your existing setup . Send it via email to etalytics at info@etalytics.com .
Receive a compact AI Cooling Readiness Snapshot, typically including:
- Your current readiness level
- Key efficiency gaps
- Realistic savings potential
- Clear next step recommendations
