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
2026-04-22T22:26:33,codecarbon,ba950a38-b3a3-46b2-9911-7183a9df1633,5b0fa12a-3dd7-45bb-9766-cc326314d9f1,6005.371236527004,0.13411510475644237,2.2332525246849374e-05,21.40210806247722,144.90591554415892,54.0,0.03448764703697292,0.24181496956293191,0.08702064124127941,0.3633232578411839,0.0,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,3.375802139037433,43.505848930481285,7.6515207219251336,14.27656325936955,N,1.0,0.0