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,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,on_cloud,pue
2025-10-13T15:01:28,codecarbon,85bcbf61-6697-4ba7-81a6-49c0685cfbb8,5b0fa12a-3dd7-45bb-9766-cc326314d9f1,22073.204171750695,0.11260266769701323,5.101328598279457e-06,160.0056856873588,145.42074110573324,50.0,1.113834741443469,1.3467413110032567,0.3064141846097381,2.7669902370564743,Sweden,SWE,dalarna county,,,Linux-4.18.0-553.56.1.el8_10.x86_64-x86_64-with-glibc2.28,3.10.18,3.0.4,32,AMD EPYC 7413 24-Core Processor,1,1 x NVIDIA H100 PCIe,15.6326,60.6043,171.68,machine,N,1.0