Since Cloud Carbon Footprint (CCF) does not provide default estimation constants for other cloud providers than AWS, GCP and Azure, we have derived provider-level estimates using the CCF methodology for “unknown micro-architectures”.
The CCF methodology states:
“When we don’t know the underlying processor micro-architecture, we use the average or median of all micro-architectures used by that cloud provider.”
We applied this approach by:
ccf-coefficients repository).Identified Architectures: Intel Haswell, Broadwell, Skylake, Cascade Lake; AMD EPYC Milan, Genoa.
| Micro-architecture | Min Watts | Max Watts |
|---|---|---|
| Haswell | 1.90 | 5.99 |
| Broadwell | 0.71 | 3.54 |
| Skylake | 0.64 | 4.05 |
| Cascade Lake | 0.64 | 3.80 |
| AMD EPYC Milan | 0.45 | 1.87 |
| AMD EPYC Genoa* | 0.45 | 1.87 |
*Genoa values estimated using Milan as a proxy due to lack of specific data.
Average for OVH:
Identified Architectures: AMD EPYC 1st Gen (Naples), 2nd Gen (Rome), 3rd Gen (Milan); Intel Xeon Gold (Skylake/Cascade Lake).
| Micro-architecture | Min Watts | Max Watts |
|---|---|---|
| AMD EPYC 1st Gen | 0.82 | 2.55 |
| AMD EPYC 2nd Gen | 0.47 | 1.64 |
| AMD EPYC 3rd Gen | 0.45 | 1.87 |
| Intel Skylake | 0.64 | 4.05 |
| Intel Cascade Lake | 0.64 | 3.80 |
Average for Scaleway:
These values are stored in provider_power_estimates.csv and are used to estimate energy consumption for any instance belonging to these providers, scaled by the number of vCPUs.