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Toto 2.0

By Datadog
Toto 2.0 is a family of time-series foundation models developed by Datadog for multivariate forecasting, especially observability and general forecasting workloads. The collection includes five checkpoints, from 4M to 2.5B parameters, trained with the same recipe and released under Apache 2.0. Toto 2.0 supports zero-shot forecasting, multivariate inputs, probabilistic quantile forecasts, variable horizons and context lengths, using a decoder-only patched transformer architecture.
New Structured_data Gen 7
Released: May 14, 2026

Overview

Toto 2.0 is Datadog’s open-source time-series forecasting model family for multivariate, zero-shot, probabilistic forecasting.

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Tools using Toto 2.0

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Last updated: May 20, 2026
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