What is Batch Inference?
Inference
Batch Inference — Processing multiple inference requests simultaneously to maximize GPU utilization. Continuous batching (used by vLLM) dynamically adds/removes requests from the batch.
FAQ
What is batch inference?
Processing multiple requests at once on the GPU. Increases throughput by 5-20x compared to processing one at a time.
What is continuous batching?
Dynamically inserting new requests as others finish, keeping the GPU fully utilized at all times. Used by vLLM and TGI.
Related Terms
Learn Batch Inference in depth
Free hands-on course with code examples and Google Colab notebooks.
Start Course →