SGLang reports Qwen3.8 Flash Next runs up to 6.6× faster on Vera Rubin than GB300
Overview
SGLang says Qwen3.8 Flash Next on NVIDIA Vera Rubin, running with NVIDIA Dynamo and SGLang, delivers up to 6.6× throughput per chip versus GB300, and up to 76% lower modeled cost per total token at matched per-user speed.
SGLang credits NVIDIA for partnership and early access, and SemiAnalysis for the results. SemiAnalysis's separate analysis puts Rubin at 4.23× performance per dollar over GB300 NVL72 on SGLang.
SGLang also shares a link to an InferenceX comparison of Qwen3.8-Flash-Next on GB300 and VR200. The linked page compares per-GPU throughput under agentic-trace workloads at FP4 precision.
Written by AI from the articles below · updated Oct 14, 12:33 AM ET
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Developments
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- Oct 14, 12:19 AM ET · 1 articleSGLang points to an InferenceX comparison of Qwen3.8-Flash-Next on GB300 vs VR200SGLang: SGLang links a GB300 vs VR200 comparison for Qwen3.8-Flash-Next
- Oct 14, 12:18 AM ET · 1 articleSGLang reports Qwen3.8 Flash Next on Vera Rubin with NVIDIA Dynamo shows higher throughput and lower cost than GB300SGLang: Qwen3.8 Flash Next on Vera Rubin shows up to 6.6× throughput over GB300
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The articles in this story. Times are ET.
SGLang@sgl_projectOfficialSGLang links a GB300 vs VR200 comparison for Qwen3.8-Flash-NextAISGLang (@sgl_project) shares a link to an InferenceX comparison of Qwen3.8-Flash-Next on GB300 and VR200 hardware. The linked page compares per-GPU throughput under agentic-trace workloads at FP4 precision.
SGLang@sgl_projectOfficialQwen3.8 Flash Next on Vera Rubin shows up to 6.6× throughput over GB300AISGLang says Qwen3.8 Flash Next on NVIDIA Vera Rubin, running with NVIDIA Dynamo and SGLang, delivers up to 6.6× throughput per chip versus GB300. It also reports up to 76% lower modeled cost per total token at matched per-user speed. SemiAnalysis's separate analysis puts Rubin at 4.23× performance per dollar over GB300 NVL72 on SGLang.

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