Real-time ML inference engine with adaptive batching, model hot-swap, and circuit breaker patterns
-
Updated
Mar 10, 2026 - Python
Real-time ML inference engine with adaptive batching, model hot-swap, and circuit breaker patterns
Local inference serving with adaptive batching, benchmark sweeps, and regression gates for batching tradeoffs.
Stream live data via WebSocket and perform real-time ML inference with adaptive batching, backpressure control, and zero-downtime model updates.
Deliver real-time streaming ML inference with adaptive batching, backpressure control, and zero-downtime model hot-swapping.
Add a description, image, and links to the adaptive-batching topic page so that developers can more easily learn about it.
To associate your repository with the adaptive-batching topic, visit your repo's landing page and select "manage topics."