Demo

mlop (bottom left) is a lot more responsive than conventional alternative experimental tracking tooling (bottom right).

mlop's lightweight and asynchronous design allows it to perform the same tasks significantly faster. Additionally, the performance does not critically suffer in a high throughput scenario either - this is, however, a common problem with other tools in this category. Supporting high data ingestion rates should be a priority to achieve efficient MLOps. It is the future trend as compute gets better.