Teradata Delivers Autonomous Knowledge and Data Sovereignty Without Compromise
The on-premises deployment of the
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What is Autonomous Knowledge?
Autonomous Knowledge is the ability of an enterprise software platform to turn structured and unstructured data, operating models and experience into trusted, governed understanding, decisions and actions. Grounded in industry-specific data, semantics, and lineage, it provides the business context for agentic AI to sense, decide, and act reliably and repeatedly across systems and tools — with minimal human intervention — while learning and improving over time.
Teradata Autonomous Knowledge Platform: On-Premises Deployment Highlights
The Factory runs EDW, Lakehouse, and advanced AI workloads on a single, integrated system. It includes the complete Teradata software suite introduced with the Teradata Autonomous Knowledge Platform — including
- On-premises foundation for an AI-native, agentic enterprise
- Integrated and ready to run with CPUs and GPUs
- Modular scale with predictable economics
- Workload management between mission-critical and experimental
- Open and hybrid by default with OTF support
Dell Technologies is a strategic collaborator for this on-premises deployment. Teradata integrates with the
Teradata delivers the fully integrated software stack, management plane, and customer experience as a complete Teradata product — the on-premises element that complements cloud deployments and extends Teradata's trusted analytics footprint into the AI era.
Why It Matters
As AI and agentic workloads move into production, the infrastructure calculus is changing — GPU consumption, continuous inference, and data-intensive analytics are exposing the limits of public cloud economics in ways that traditional workloads never did. For regulated industries and the public sector, the pressure is even greater — hybrid and private AI are becoming requirements as organizations balance local control and data residency with multi-cloud flexibility. And as agentic AI moves from pilot to production, the real challenge is operationalizing it within the constraints that matter — governance, reliability, and cost control.
Why Teradata
Most on-premises AI infrastructure approaches shift cost and complexity rather than eliminate it — requiring enterprises to assemble, integrate, and maintain separate components across compute, storage, GPUs, database engines, AI tooling, and orchestration, each with its own pricing model and integration risk. The on-premises deployment of the Teradata Autonomous Knowledge Platform takes a different approach: one pre-engineered system, one management plane, and a fully integrated software and hardware stack delivered as a Teradata product — with the open architecture, performance, and cost control that AI at scale demands.
Executive Quotes
"The data platform and the AI platform are converging — yet most enterprises are still running AI far from their most critical data.
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"Data sovereignty is evolving beyond just a compliance requirement. It is becoming a core architectural decision as AI moves from pilot to production. Enterprises are realizing that where AI runs can be as important as how it runs. This on-premises deployment of the Teradata Autonomous Knowledge Platform can give enterprises a more direct path to run private AI on-premises, keeping it close to the data and under their governance, while maintaining the control, consistency, and performance needed at scale."
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Platform Capabilities: On-Premises
On-premises foundation for an AI-native, agentic enterprise: This deployment is designed to deliver on-premises AI without compromise — the private AI controls, governance, and hybrid deployment model that make agents possible in regulated, mission-critical environments. Central to that is
Integrated and Ready to Run with GPUs: The on-premises deployment of the Teradata Autonomous Knowledge Platform delivers
Modular Scale with Predictable Economics: A new management cluster and converged Ethernet fabric unify compute, storage, GPU, and networking under a single management plane, supporting modular expansion from pilot to production on the enterprise's timeline. Fixed infrastructure economics eliminate per-query, per-GPU, and data movement fees — designed specifically for analytics and AI at scale.
Autonomous Platform Management with Tera Agents: The Teradata Autonomous Knowledge Platform includes Tera — a set of pre-built platform agents that perform infrastructure and operational tasks autonomously, continuously and without manual intervention. Tera agents monitor and manage compute resources, optimize query execution, process telemetry, and control cloud and on-premises spend, reducing IT operational burden while keeping performance and cost on target.
Workload Management Between Mission-Critical and Experimental: Active System Management automatically maintains performance and SLAs for vital analytics while AI teams run exploratory or resource-intensive tasks — no resource contention, no trade-offs. The result is the control and compliance of private AI with enterprise-grade performance — keeping revenue-critical operations protected and compliant.
Open and Hybrid by Default: Support for Apache Iceberg,
Availability
About Teradata
Teradata empowers enterprises to turn intelligence into autonomous action, grounding AI agents in deep business context and trusted data. As AI agents multiply, Teradata is the context foundation, governance layer, and performance backbone that companies need now. The Teradata Autonomous Knowledge Platform puts AI into production across cloud, on-premises, and hybrid environments.
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MEDIA CONTACT
Jennifer.Donahue@Teradata.com
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