vLLM vs Triton Inference Server

vLLM is a specialized LLM inference engine optimized for throughput with PagedAttention and dynamic batching, while Triton is a general-purpose inference server supporting multiple model types and frameworks with broader deployment flexibility. vLLM achieves 24x higher throughput for LLMs, but Triton handles diverse workloads including computer vision and traditional ML models.