A benchmark comparison evaluated six inference engines—llama.cpp, vLLM, SGLang, NInfer, velox-inferer, and TensorSharp—on a single RTX 5090 GPU. The tests focused on throughput, latency with long prompts, concurrent requests, and image input capabilities. NInfer emerged as the leader in speculative decoding and aggregate throughput, while llama.cpp showed the highest plain decode rate. TensorSharp, SGLang, and velox-inferer performed similarly in DFlash2 throughput. AI
IMPACT Provides insights into the performance differences of various inference engines, aiding developers in choosing optimal configurations for efficient LLM deployment.
RANK_REASON Benchmark comparison of multiple inference engines on a specific model and hardware. [lever_c_demoted from research: ic=1 ai=0.7]
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