Objective-built, on-premises product with NVIDIA comes ready-to-run and delivers reliable AI with predictable pricing, safety, governance, and compliance
Teradata (NYSE: TDC) right this moment introduced the launch of Teradata AI Manufacturing facility, an built-in resolution that brings Teradata’s cloud-based AI/ML capabilities – together with predictive, generative, and agentic AI – to safe, on-premises deployments.
AI Manufacturing facility unifies important parts like information pipelines, algorithm execution, and software program infrastructure right into a single, scalable system, designed for speedy innovation via personal, trusted AI. Its seamless integration of software program, {hardware}, and pre-packaged Teradata and trendy third-party instruments reduces compliance dangers and price overruns, whereas simplifying AI operations. When mixed with Teradata AI Microservices with NVIDIA and customer-provided NVIDIA GPUs, AI growth, together with native RAG pipelines, is accelerated. Teradata AI Manufacturing facility, constructed with the NVIDIA Enterprise AI Manufacturing facility validated design, is right for extremely regulated industries like healthcare, finance, and authorities, in addition to any enterprise looking for larger autonomy over its AI technique.
The AI panorama is being reshaped by international instability and rising information sovereignty necessities, driving organizations to hunt higher management over their infrastructure. This want coincides with monetary challenges that may be attributable to each underutilized GPU investments and unpredictable cloud prices, notably in enterprise-scale hybrid environments. The rising complexity of AI ecosystems compounds these points, fueling demand for turnkey options that handle each governance and price issues. On-premises, personal AI options meet these challenges by providing threat mitigation, improved useful resource administration, and enhanced oversight – enabling trusted enterprise outcomes in unsure occasions.
“Market dynamics are rising purchaser curiosity in on-premises options,” stated Teradata’s Chief Product Officer, Sumeet Arora. “Teradata stays the clear chief on this surroundings, with confirmed foundations in what makes AI significant and reliable: High-notch velocity (efficiency), predictable value (useful resource effectivity), and integration with the golden information document (which can already dwell on Teradata). Teradata AI Manufacturing facility builds on these strengths in a single resolution for organizations utilizing on-prem infrastructure to achieve management, meet sovereignty wants, and speed up AI ROI.”
Based on a Gartner® report from March, “By 2028, greater than 20% of enterprises will run AI workloads (coaching or inference) domestically of their information facilities, a rise from roughly 2% as of early 2025.” (“The right way to Decide Infrastructure Necessities for On-Premises Technology AI” by Chandra Mukhyala, Jonathan Forest, Tony Harvey from March 5, 2025)
Key Advantages
Teradata AI Manufacturing facility is designed to ship the whole bundle for personal, trusted AI at scale: the safety and management of on-premises infrastructure, cost-effective analytic efficiency, and seamless integration of {hardware} and software program, together with Teradata’s Enterprise Vector Retailer and Teradata AI Microservices, which leverages NVIDIA NeMo microservices for native RAG pipeline capabilities.
- Delicate information stays throughout the group’s infrastructure to scale back dangers and compliance points. Teradata AI Manufacturing facility reduces the vulnerabilities of public or shared AI platforms, resembling information publicity, mental property loss, and regulatory non-compliance. It aligns with compliance requirements like GDPR and HIPAA, making it superb for industries the place information sovereignty and privateness are important, and by processing information domestically, it enhances safety and operational integrity for any group looking for larger management.
- Handle assets with certainty utilizing essentially the most environment friendly AI efficiency. AI Manufacturing facility maintains Teradata’s management in delivering the most effective efficiency for the value, because of its localized structure that reduces information motion, lowers latency, and improves effectivity. It permits clients to run AI fashions on CPUs or speed up them utilizing customer-provided GPU infrastructure, avoiding unpredictable cloud pricing whereas maximizing {hardware} investments. This method ensures constant operational prices and scalable personal AI innovation with long-term monetary sustainability.
- Ease-of-use in a ready-to-run, built-in stack that maximizes AI investments. Seamless integration of {hardware} and software program removes the necessity for customized setups, enabling organizations to scale AI initiatives quicker and cut back operational complexity. Teradata AI Microservices with NVIDIA NeMo delivers native RAG pipeline capabilities for ingestion and retrieval – integrating embedding, retrieval, reranking, and guardrails. This allows pure language querying throughout all information, delivering quicker, extra clever insights at scale.
What’s Included
Teradata AI Manufacturing facility parts embody:
- AI Platform for Speedy Innovation: Teradata AI Manufacturing facility, constructed on the corporate’s IntelliFlex platform, is an on-premises AI resolution configured for AI workloads. It consists of Teradata Enterprise Vector Retailer for integrating structured and unstructured information in generative AI functions.
- Software program Infrastructure: The brand new AI Workbench supplies a self-service workspace with entry to libraries and features, resembling these in ClearScape Analytics®. Constructed-in assist for mannequin lifecycle administration, compliance, and one-click LLM deployment, in addition to instruments like JupyterHub, ModelOps, Airflow, Gitea, and Devpi, additional streamline deployment and cut back friction for builders.
- Algorithm Execution: AI Manufacturing facility permits predictive and generative algorithm execution at scale with excessive efficiency in platform analytics. It connects to buyer GPUs through Teradata AI Microservices with NVIDIA, enabling high-performance AI workloads, quicker mannequin growth, and native RAG processing inside Teradata’s open ecosystem.
- Information pipelines: Fashionable information ingestion instruments, together with Teradata’s inner options like QueryGrid, effectively transfer and join information throughout methods. Assist for Open Desk Codecs (OTFs), object shops, and NVIDIA instruments for advanced codecs like PDFs helps construct sturdy, end-to-end information pipelines.
Availability
Teradata AI Manufacturing facility is offered now.
At Teradata, we imagine that individuals thrive when empowered with trusted info. We provide essentially the most full cloud analytics and information platform for AI. By delivering harmonized information and trusted AI, we allow extra assured decision-making, unlock quicker innovation, and drive the impactful enterprise outcomes organizations want most. See how at Teradata.com.
