timestamp,project_name,run_id,experiment_id,duration,emissions,emissions_rate,cpu_power,gpu_power,ram_power,cpu_energy,gpu_energy,ram_energy,energy_consumed,water_consumed,country_name,country_iso_code,region,cloud_provider,cloud_region,os,python_version,codecarbon_version,cpu_count,cpu_model,gpu_count,gpu_model,longitude,latitude,ram_total_size,tracking_mode,cpu_utilization_percent,gpu_utilization_percent,ram_utilization_percent,ram_used_gb,on_cloud,pue,wue
2026-04-22T13:44:14,codecarbon,e083cf74-561a-4491-9a31-30a4dcec0884,5b0fa12a-3dd7-45bb-9766-cc326314d9f1,10938.376361859991,0.23831785567222735,2.178731539199874e-05,19.24106498283939,141.77108826654893,54.0,0.05647772951196851,0.4306438864592781,0.15849112005727609,0.6456127360285229,0.0,United States,USA,virginia,,,Linux-6.12.79-101.147.amzn2023.x86_64-x86_64-with-glibc2.36,3.12.12,3.2.6,48,AMD EPYC 7R32,1,1 x NVIDIA A10G,-77.4903,39.0469,186.68793869018555,machine,2.33886086398239,37.00687884068605,5.111125378336238,9.539670367793272,N,1.0,0.0