Teradata to Bring World-Class AI Capabilities to Large Enterprises and Hybrid Environments in Collaboration with NVIDIA

Rhea-AI Summary

Teradata (NYSE: TDC) has announced a collaboration with NVIDIA to enhance its Vantage platform with NVIDIA AI capabilities. This integration aims to accelerate AI workloads and support the development of large language models (LLMs), agentic workflows, and retrieval-augmented generation (RAG) applications for large enterprises using public and private clouds.

Key points:

• Integration of NVIDIA NeMo and NIM microservices into Vantage platform
• Support for small language models (SLMs) and open LLMs in VantageCloud Lake
• NVIDIA AI accelerated computing infrastructure offered on Teradata's platform
• NVIDIA NeMo Retriever to be offered on Teradata VantageCloud
• Availability of NVIDIA AI accelerated compute on AWS in November, with additional capabilities in Q4 and 2025

Positive

• Collaboration with NVIDIA to enhance AI capabilities in Teradata Vantage platform
• Integration of NVIDIA NeMo and NIM microservices to accelerate AI workloads
• Support for both small and large language models in VantageCloud Lake
• Offering of NVIDIA AI accelerated computing infrastructure
• Expansion of AI capabilities to serve large, global organizations in hybrid environments

Negative

• None.

Insights

Tech Expert

Teradata's collaboration with NVIDIA marks a significant leap in AI capabilities for enterprise-scale data analytics. By integrating NVIDIA's NeMo and NIM microservices into the Vantage platform, Teradata is positioning itself at the forefront of AI-driven data solutions. This move will enable customers to develop and deploy advanced AI models, including LLMs and RAG applications, with greater ease and efficiency. The partnership addresses the growing demand for AI-powered analytics in hybrid cloud environments, a important area for large organizations. The phased rollout, starting with AWS in November and expanding to include inference and fine-tuning capabilities, shows a strategic approach to implementation. This collaboration could potentially accelerate Teradata's competitive edge in the data analytics market, especially as enterprises increasingly seek AI-enhanced solutions for their data management and analysis needs.

Market Research Analyst

This partnership represents a strategic move for Teradata in the rapidly evolving AI and data analytics market. By leveraging NVIDIA's cutting-edge AI technologies, Teradata is enhancing its value proposition to large enterprises that require sophisticated AI capabilities integrated with their data platforms. The collaboration addresses key market trends: the growing demand for generative AI in business applications, the need for scalable AI solutions in hybrid cloud environments and the increasing importance of data-driven decision making. The phased rollout strategy allows Teradata to gradually introduce these advanced features, potentially increasing adoption rates among its customer base. This move could strengthen Teradata's market position, potentially leading to increased market share and revenue growth in the medium to long term, especially as enterprises accelerate their AI adoption strategies.

Teradata is integrating NVIDIA NeMo and NVIDIA NIM microservices into the Vantage platform to accelerate AI workloads

LOS ANGELES--(BUSINESS WIRE)-- TERADATA POSSIBLE – Teradata (NYSE: TDC) today announced a new collaboration with NVIDIA to enhance the Teradata Vantage platform with NVIDIA AI to benefit large, global organizations that leverage both public and/or private clouds.

Teradata is integrating NVIDIA NeMo and NVIDIA NIM microservices into the Vantage platform to accelerate AI workloads and support the development of foundation and customized large language models (LLMs), agentic workflows and retrieval-augmented generation (RAG) applications. Customers can also deploy their own custom models through NVIDIA AI Enterprise, an end-to-end software platform that offers enterprise-grade security, support and stability, to drive ROI from generative AI use cases.

In addition to multiple NVIDIA software integrations, Teradata’s platform will offer NVIDIA accelerated computing infrastructure. The first implementation of this effort was announced today as part of Teradata’s new support for both small language models (SLMs) and open LLMs in VantageCloud Lake. The new bring-your-own LLM capability can take advantage of NVIDIA AI accelerated computing platform clusters for tasks like LLM inferencing and model fine-tuning.

“Teradata customers are not casual users of their data and analytics, so we’re thrilled to be engaged with NVIDIA to leverage our strong and trusted foundation for innovative AI use cases. By integrating NVIDIA’s accelerated computing architecture into our Vantage platform, Teradata customers will be able to accelerate their use of AI at scale, in the environment of their choice, delivering unprecedented business value,” said Hillary Ashton, Chief Product Officer at Teradata.

NVIDIA NeMo Retriever, a collection of NVIDIA NIM microservices that enables organizations to seamlessly connect custom models to diverse business data and deliver highly accurate responses, will also be offered on Teradata VantageCloud, enabling accelerated search and RAG applications to leverage existing customer data. Teradata will provide access to NVIDIA NIM microservices, part of NVIDIA AI Enterprise, for Teradata VantageCloud customers before expanding the offering to hybrid customers globally.

“Data is the foundation of generative AI applications, enabling the development of today’s highly customized applications,” said Pat Lee, Vice President of Strategic Enterprise Partnerships at NVIDIA. “By integrating NVIDIA AI Enterprise, Teradata is providing developers a high-performance, full-stack platform that offers the security, stability and support enterprises require.”

Availability

Teradata VantageCloud Lake NVIDIA AI accelerated compute will be generally available first on AWS in November, with inference capabilities being added in Q4 and fine-tuning availability in 1H 2025.

NVIDIA AI Enterprise integrations will be coming in 2025.

About Teradata

At Teradata, we believe that people thrive when empowered with trusted information. We offer the most complete cloud analytics and data platform for AI. By delivering harmonized data and trusted AI, we enable more confident decision-making, unlock faster innovation, and drive the impactful business results organizations need most.

See how at Teradata.com.

The Teradata logo is a trademark, and Teradata is a registered trademark of Teradata Corporation and/or its affiliates in the U.S. and worldwide

View source version on businesswire.com: https://www.businesswire.com/news/home/20241008456281/en/

MEDIA CONTACT

Jennifer Donahue

jennifer.donahue@teradata.com

Source: Teradata

FAQ

What is Teradata's (TDC) new collaboration with NVIDIA about?

Teradata is collaborating with NVIDIA to integrate NVIDIA AI capabilities into its Vantage platform, aiming to accelerate AI workloads and support the development of large language models, agentic workflows, and RAG applications for large enterprises using public and private clouds.

When will Teradata (TDC) make NVIDIA AI accelerated compute available on AWS?

Teradata VantageCloud Lake NVIDIA AI accelerated compute will be generally available on AWS in November, with inference capabilities added in Q4 and fine-tuning availability in the first half of 2025.

What NVIDIA technologies is Teradata (TDC) integrating into its Vantage platform?

Teradata is integrating NVIDIA NeMo and NVIDIA NIM microservices into the Vantage platform. Additionally, NVIDIA NeMo Retriever will be offered on Teradata VantageCloud to enable accelerated search and RAG applications.

How will the Teradata (TDC) and NVIDIA collaboration benefit customers?

The collaboration will allow Teradata customers to accelerate their use of AI at scale, in the environment of their choice, delivering enhanced business value. It will support the development of foundation and customized large language models, agentic workflows, and RAG applications.