AI applications need massive amounts of data to feed inference pipelines. Serving that at scale means fast databases with feature stores enriching context in milliseconds. How do you build for that?
Join us as a developer and database expert walk through the architectural patterns behind applications built to sustain low latency at high throughput. We’ll use ScyllaDB Cloud to build a high performance feature store and cover the best practices to extract maximum performance from it.
In this webinar, you’ll learn how to:
- Build an AI pipeline for real-time data
- Handle high write volumes with ultra low latency
- Use ScyllaDB for fast retrieval of fresh features
- Tune inference pipelines for maximum performance
