November 15, 2023 By Peter Casler 2 min read

In December 2021, IBM and SingleStore announced their strategic partnership, and in December 2022, the partnership launched SingleStoreDB as a Service—available on AWS and the Microsoft Azure Marketplace. Now they’re taking the next step with SingleStoreDB’s powerful vector database support of watsonx.ai.

Why watsonx.ai?

IBM watsonx.ai is the next-generation enterprise studio for AI builders. It brings together traditional machine learning and new generative AI capabilities powered by foundation models into a powerful studio. That studio lets you build AI applications in a fraction of the time with a fraction of the data. Other benefits include:

  • IBM’s trusted approach to AI and MLOps allows you to operationalize and scale AI with confidence.
  • IBM’s world-class AI governance and data solutions gives clients assurance that their data and models are private, secure and governed.
  • IBM’s foundation models are pre-trained on curated data sets based on principles of trust and transparency, and leverage open-source models from Hugging Face. 

Why SingleStoreDB for your generative AI applications? 

  • SingleStoreDB offers a powerful vector database matched with world-class query performance. 
  • SinglestoreDB is suited for generative AI applications with semantic search, fast ingest, low latency response times, foundation models, traditional ML and highly concurrent queries.
  • SingleStoreDB reduces data sprawl providing a simpler, more powerful approach to handling vectors alongside traditional structured and unstructured data.
  • Unlike specialized vector databases, SingleStoreDB stores vector data in relational tables alongside other types of data. Co-locating vector data with related data allows you to easily query extended metadata and other attributes of your vector data—with the full power of SQL.

The IBM and SingleStore partnership: Better together

The speed, scope and scale of generative AI’s impact is unprecedented. The ways in which enterprises adopt and execute it will define whether they unlock value at scale.

Enterprises can now elevate their AI’s capabilities through the integration between IBM watsonx.ai and SingleStoreDB. Together, IBM and SingleStore can help organizations infuse AI into business processes. With this new ability, they can make use of their data, wherever it resides—on-prem, across clouds and data formats.

Ready to put AI to work with watsonx.ai and SingleStoreDB?

Visit our partnership page today

More from Artificial intelligence

In preview now: IBM watsonx BI Assistant is your AI-powered business analyst and advisor

3 min read - The business intelligence (BI) software market is projected to surge to USD 27.9 billion by 2027, yet only 30% of employees use these tools for decision-making. This gap between investment and usage highlights a significant missed opportunity. The primary hurdle in adopting BI tools is their complexity. Traditional BI tools, while powerful, are often too complex and slow for effective decision-making. Business decision-makers need insights tailored to their specific business contexts, not complex dashboards that are difficult to navigate. Organizations…

Introducing the watsonx platform on Microsoft Azure

4 min read - Artificial intelligence (AI) is revolutionizing industries by enabling advanced analytics, automation, and personalized experiences. According to The business value of AI, from the IBM Institute of Business Value, AI adoption has more than doubled since 2017. Enterprises are taking an intentional design approach to hybrid cloud and AI to drive technology decisions and enable adoption of Generative AI. According to the McKinsey report,  The economic potential of generative AI: The next productivity frontier, generative AI is projected to add $2.6…

Democratizing Large Language Model development with InstructLab support in watsonx.ai

5 min read - There is no doubt that generative AI is changing the game for many industries around the world due to its ability to automate and enhance creative and analytical processes. According to McKinsey, generative AI has a potential to add $4 trillion to the global economy. With the advent of generative AI and, more specifically, Large Language Models (LLMs), driving tremendous opportunities and efficiencies, we’re finding that the path to success for organizations to effectively use and scale their generative AI…

IBM Newsletters

Get our newsletters and topic updates that deliver the latest thought leadership and insights on emerging trends.
Subscribe now More newsletters