Representative Challenge Data
Data Centre Datasets
Authoritative excerpts drawn from the IEA Electricity 2024 report, Uptime Institute Global Data Center Survey, LBNL data-centre reports, and hyperscaler sustainability disclosures. These datasets provide natural rods for understanding energy use, thermal load, water consumption, grid carbon intensity, and the compute footprint of AI training.
Representative dataset categories
Click any box to download the JSON rod-set for that category.
- Energy and PUE rods↓ JSON/data/datacentre/energy-and-pue-rods.json
- Water and cooling rods↓ JSON/data/datacentre/water-and-cooling-rods.json
- Thermal and rack-density rods↓ JSON/data/datacentre/thermal-and-rack-density-rods.json
- Carbon-intensity and grid rods↓ JSON/data/datacentre/carbon-intensity-and-grid-rods.json
- AI training and workload rods↓ JSON/data/datacentre/ai-training-and-workload-rods.json