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SGLang and vLLM are two tools developed to enhance the efficiency of using open-source AI models. While vLLM addresses resource wastage in AI model hosting, SGLang improves response times by minimizing repetition in processing requests. Here’s a read to help you decide which one is better.

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We benchmarked five models on the NVIDIA B300 – from Gemma-4-26B to GLM-5.2 at 753 billion parameters, across 18 runs under real production concurrency. The throughput numbers are strong. The TTFT finding is counterintuitive. And the infrastructure implication is bigger than either.

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