Unverified70% confidenceFactExact time
In-flight Batching technology was first proposed in the Orca paper and was subsequently widely adopted by inference frameworks such as vLLM and TensorRT-LLM.
2
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70%
Confidence
Long-term
Relevance
9/6/2026
First Seen
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Related Claims
UnverifiedModern LLM inference clusters typically employ Continuous Batching technology, as implemented in vLLM and TensorRT-LLM.68% similarVerifiedvLLM, TensorRT-LLM, and llama.cpp are representative open-source frameworks in the field of LLM inference acceleration.66% similarVerifiedTensorRT-LLM is an inference optimization solution from NVIDIA that achieves inference performance optimization through techniques such as operator fusion, quantization (INT8/FP8), and in-flight batching.65% similarUnverifiedModern large model inference uses batching technology to improve GPU utilization, and inference engines such as vLLM and TensorRT-LLM improve throughput through technologies like PagedAttention and continuous batching.65% similarUnverifiedThe "fast" goal is often achieved at the engineering level through model quantization, inference acceleration frameworks (such as vLLM or TensorRT-LLM), or smaller model parameter counts.64% similar
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