Unverified70% confidenceFactExact time
Google officially disclosed that TimesFM was pre-trained on 200B time points of data, covering multiple domains including finance, retail, energy, and healthcare.
2
Sources
70%
Confidence
Long-term
Relevance
7/14/2026
First Seen
Sources
Zer0Fit：用MCP将谷歌TabFM与TimesFM接入LLM聊天界面
redditr/MachineLearning7/12/2026
Related Claims
UnverifiedGoogle TimesFM is a foundation model dedicated to time series forecasting, capable of zero-shot prediction without requiring specialized training on specific business data.78% similarUnverified谷歌发布了两款基础模型TabFM（面向表格数据）和TimesFM（面向时间序列）77% similarUnverifiedRepresentative time-series foundation models include Google's TimesFM, Amazon's Chronos, and Salesforce's Moirai.73% similarUnverifiedGoogle released TimesFM 3, a multivariate time-series forecasting model with 330M parameters.69% similarUnverifiedGoogle的超大规模分布式系统构建在Spanner、Bigtable和Colossus等基础设施之上，其中Spanner通过TrueTime API实现跨数据中心的时钟同步67% similar
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