Veloxcon 25': Real-time ML - Accelerating Velox & Python for inference at scale

Executing complex online data pipelines (under 10ms) end-to-end requires different tradeoffs than scale-out analytical workloads. Velox enables us to have a unified compute platform to support both online and offline analytical workloads. In this talk we will delve into how we built a symbolic Python interpreter and accelerated various Velox internals. Learn how Chalk leverages Velox to power inference-time machine learning models!