Teradata (NYSE: TDC) announced the Teradata Factory, an on-premises deployment of its Teradata Autonomous Knowledge Platform built on Dell Technologies enterprise compute and storage infrastructure.

The system integrates Teradata's complete software stack, including AI Studio, within a single management plane to support enterprise data warehouse, lakehouse, and AI workloads. The platform combines CPUs and GPUs in a pre-engineered system designed for organizations running AI operations in hybrid environments.

The announcement comes as enterprises face infrastructure challenges with AI workloads moving into production, particularly around GPU consumption, continuous inference, and data-intensive analytics costs in public cloud environments.

"The data platform and the AI platform are converging — yet most enterprises are still running AI far from their most critical data," said Sumeet Arora, Chief Product Officer at Teradata. The Factory "brings EDW reliability, Lakehouse flexibility, and AI horsepower together in a single on-premises system."

Key features include modular scaling capabilities, workload management between mission-critical and experimental tasks, and support for open data formats including Apache Iceberg and Delta Lake. The system includes Tera agents that autonomously perform infrastructure and operational tasks such as monitoring compute resources and optimizing query execution.

Dell Technologies serves as a strategic collaborator for the on-premises deployment, with Teradata integrating with Dell's AI Factory and AI Data Platform components.

The platform addresses data sovereignty requirements for regulated industries and public sector organizations that require local control and data residency while maintaining multi-cloud flexibility.

The Teradata Factory is expected to be available in the third quarter of 2026.