NVIDIA Kumo: Open-Weight Models for Reasoning Over Structured Enterprise Data

On October 21, 2026, at GTC Berlin , NVIDIA announced the Kumo family of foundation models, designed specifically to connect AI agents to structured enterprise data. Part of the broader Agent Knowledge Foundation , Kumo addresses the ‘Data Plumbing’ challenge identified in the TGVP infrastructure report , where the inability to reason over databases remains a primary barrier to autonomous agent deployment. The Kumo family includes specialized models for Tabular , Relational , Time Series , and Forecast data. While the company’s Nemotron series handles unstructured documents, Kumo provides the prediction layer over structured records. In the announced workflow, the Nemotron tools parse documents, embed queries and rerank information, while the new Kumo models make predictions from structured data – classification and regression, in the model card’s terms.

BeCrypto News shows a short excerpt and links to the publisher. The full report belongs to Forkast.