Google's 330M TimesFM-3 Beats Rivals in Time Series Forecasting

anselm · x · 2026-09-01

Google released TimesFM-3, a 330M parameter foundation model for zero-shot multivariate forecasting. It significantly outperforms Amazon's Chronos 2 and Toto 2.0 across major benchmarks in a single forward pass. Its small size allows local deployment alongside LLMs, enabling agents to predict business trends (e.g., sales, promotions, weather) accurately without forcing the LLM to guess patterns.

Related event: Google Open-Sources TimesFM 3.0: 330M-Parameter Multivariate Zero-Shot Time Series Foundation Model(11 posts)→

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