Toto 2.0: Time series forecasting enters the scaling era
Datadog releases Toto 2.0, an open-weights time series foundation model family ranging from 4M to 2.5B parameters. Results show consistent performance improvements with scale, achieving state-of-the-art on BOOM, GIFT-Eval, and TIME benchmarks. Compared to Toto 1.0, parameter efficiency improves 7x with dramatically faster inference. Trained solely on observability and synthetic data without any public datasets, yet generalizes broadly.
Toto 2.0: Time series forecasting enters the scaling era
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