Verified65% confidenceFactExact time
Inference engines such as vLLM and TensorRT-LLM improve GPU throughput through techniques like PagedAttention and continuous batching.
3
Sources
65%
Confidence
Long-term
Relevance
8/31/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedvLLM improves GPU memory utilization by several times through PagedAttention technology and is one of the most mainstream high-concurrency large model inference engines in the open-source community.78% similarUnverifiedvLLM was developed by the University of California, Berkeley, and is known for its PagedAttention technology, which efficiently manages GPU memory and is suitable for high-concurrency production environments.74% similarUnverifiedTensorRT RTX的典型工作流为：训练框架导出ONNX，TensorRT解析并优化计算图，生成针对目标GPU的序列化引擎文件（.engine/.plan）71% similarUnverifiedCommon inference engines include vLLM, SGLang, and TGI, among others.69% similar
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