ML//inference//inference batching

Batching processes several inference requests together so the accelerator can execute larger parallel operations and amortize scheduling and memory overhead.

Batching processes several inference requests together so the accelerator can execute larger parallel operations and amortize scheduling and memory overhead.

Static batches wait for a fixed group. Continuous batching inserts and removes sequences as generation proceeds, which better matches requests that finish at different times. Larger batches usually improve utilization until memory or queueing becomes the limiting factor.

The machine likes a crowded bus. The passenger cares when it departs.