vLLM vs TensorRT-LLM

vLLM prioritizes ease of use and broad hardware compatibility with simpler deployment, while TensorRT-LLM focuses on maximum inference speed and optimization specifically for NVIDIA GPUs. vLLM achieves 2-4x faster throughput with PagedAttention, but TensorRT-LLM can deliver 10-40% higher token/sec on NVIDIA hardware through aggressive kernel optimization.