AI workloads are exposing the limits of what most databases were designed to handle. Databases will need to process petabytes of data, millions of writes per second, and data types like vectors – all while delivering consistent sub-millisecond P99 latency.
Most databases are fast approaching a breaking point. But a decade of engineering for extreme performance has prepared ScyllaDB for this challenge.
Join ScyllaDB co-founders Dor Laor (CEO) and Avi Kivity (CTO) to explore what real-time AI workloads actually require, and what it takes to stay ahead.
You will learn:
- How AI workloads are shifting in real-world applications
- The specific pressures these new patterns place on databases
- How ScyllaDB's architecture helps teams meet AI’s demands
