Agent demand can’t be forecast, meaning the database has to be ready for anything

Enterprises building AI agent architectures are finding that database technology is as critical as the underlying AI models themselves. AI agents generate thousands of unplanned queries simultaneously and require millisecond-level response times. PhoenixAI, the commercial name for CelerData Inc., secured $80 million in funding to develop database solutions specifically engineered to handle the inherent unpredictability and scale demands of agentic AI systems.

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