AI workloads place unique demands on data platforms. From real-time inference and feature storage to vector search and agent memory, teams need systems that can keep up with both speed and scale. In this session, Aasawari Sahashrabuddhe will explore how SingleStore supports a wide range of AI workloads using a unified, real-time data architecture.
The session will walk through common AI patterns, where traditional databases fall short, and how developers can use SingleStore to power AI-driven applications without adding unnecessary complexity. You will also see practical examples of how SingleStore fits into modern AI stacks alongside frameworks, models, and agents.
