{"id":863162,"date":"2025-06-24T09:51:24","date_gmt":"2025-06-24T13:51:24","guid":{"rendered":"https:\/\/www.marketnewsdesk.com\/index.php\/teradata-delivers-private-ai-innovation-in-new-offering-teradata-ai-factory\/"},"modified":"2025-06-24T09:51:24","modified_gmt":"2025-06-24T13:51:24","slug":"teradata-delivers-private-ai-innovation-in-new-offering-teradata-ai-factory","status":"publish","type":"post","link":"https:\/\/www.marketnewsdesk.com\/index.php\/teradata-delivers-private-ai-innovation-in-new-offering-teradata-ai-factory\/","title":{"rendered":"Teradata Delivers Private AI Innovation in New Offering: Teradata AI Factory"},"content":{"rendered":"

<\/p>\n

Teradata Delivers Private AI Innovation in New Offering: Teradata AI Factory<\/b><\/p>\n

Purpose-built, on-premises product with NVIDIA comes ready-to-run and delivers trustworthy AI with predictable pricing, security, governance, and compliance<\/i><\/p>\n

SAN DIEGO–(BUSINESS WIRE<\/a>)–
\nTeradata (NYSE: TDC<\/a>) today announced the launch of Teradata AI Factory, an integrated solution that brings Teradata\u2019s cloud-based AI\/ML capabilities – including predictive, generative, and agentic AI \u2013 to secure, on-premises deployments.<\/p>\n

\nAI Factory unifies critical components like data pipelines, algorithm execution, and software infrastructure into a single, scalable system, designed for rapid innovation through private, trusted AI. Its seamless integration of software, hardware, and pre-packaged Teradata and modern third-party tools reduces compliance risks and cost overruns, while simplifying AI operations. When combined with Teradata AI Microservices with NVIDIA and customer-provided NVIDIA GPUs, AI development, including native RAG pipelines, is accelerated. Teradata AI Factory, built with the NVIDIA Enterprise AI Factory<\/a> validated design, is ideal for highly regulated industries like healthcare, finance, and government, as well as any enterprise seeking greater autonomy over its AI strategy.<\/p>\n

\nThe AI landscape is being reshaped by global instability and increasing data sovereignty requirements, driving organizations to seek better control over their infrastructure. This need coincides with financial challenges that can be caused by both underutilized GPU investments and unpredictable cloud costs, particularly in enterprise-scale hybrid environments. The growing complexity of AI ecosystems compounds these issues, fueling demand for turnkey solutions that address both governance and cost concerns. On-premises, private AI solutions meet these challenges by offering risk mitigation, improved resource management, and enhanced oversight \u2013 enabling trusted business outcomes in uncertain times.<\/p>\n

\n“Market dynamics are increasing buyer interest in on-premises solutions,\u201d said Teradata\u2019s Chief Product Officer, Sumeet Arora. \u201cTeradata remains the clear leader in this environment, with proven foundations in what makes AI meaningful and trustworthy: Top-notch speed (performance), predictable cost (resource efficiency), and integration with the golden data record (which may already live on Teradata). Teradata AI Factory builds on these strengths in a single solution for organizations using on-prem infrastructure to gain control, meet sovereignty needs, and accelerate AI ROI.\u201d<\/p>\n

\nAccording to a Gartner\u00ae report from March, \u201cBy 2028, more than 20% of enterprises will run AI workloads (training or inference) locally in their data centers, an increase from approximately 2% as of early 2025.\u201d (\u201cHow to Determine Infrastructure Requirements for On-Premises Generation AI\u201d by Chandra Mukhyala, Jonathan Forest, Tony Harvey from March 5, 2025)<\/p>\n

Key Benefits<\/span><\/b><\/p>\n

\nTeradata AI Factory is designed to deliver the complete package for private, trusted AI at scale: the security and control of on-premises infrastructure, cost-effective analytic performance, and seamless integration of hardware and software, including Teradata\u2019s Enterprise Vector Store<\/a> and Teradata AI Microservices, which leverages NVIDIA NeMo microservices for native RAG pipeline capabilities.<\/p>\n