Toto: A Foundation Time-Series Model Optimized for Observability Data

Datadog open-sourced Toto (Time Series Optimized Transformer for Observability), a model purpose-built for observability data.

Toto is currently the most extensively pretrained time-series foundation model: The pretraining corpus contains 2.36 trillion tokens, with ~70% coming from Datadog’s private telemetry dataset.

Also, Toto currently ranks 2nd in the GIFT-Eval Benchmark.

You can find an analysis of the model here.