When to use CodeCarbon¶

CodeCarbon tracks carbon emissions from local computing—code that runs on hardware you control.

Use CodeCarbon when you¶

• Train models on your machine, server, or cloud VM
• Run inference on your own hardware (laptop, GPU server, on-prem)
• Execute any code that consumes electricity on infrastructure you control

CodeCarbon measures actual power consumption (CPU, GPU, RAM) and converts it to CO₂ emissions using grid carbon intensity.

Use EcoLogits when you¶

• Call GenAI APIs (OpenAI, Anthropic, Mistral, Hugging Face, etc.)
• Don't control the hardware—the model runs on the provider's infrastructure
• Want to estimate the environmental impact of API requests from request metadata

EcoLogits estimates impacts from API calls without access to the underlying hardware.

Both are complementary¶

Use CodeCarbon for training and local inference. Use EcoLogits for remote API inference. Together they cover the full lifecycle of AI workloads.