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SGLang's MI355x boosts DeepSeekv4 Pro throughput over 10x per GPU

DeepSeekv4 Pro has seen a significant performance increase, achieving over tenfold improvement in throughput per GPU. This advancement was realized through the integration of MI355x on the SGLang framework. The gains represent a substantial leap in efficiency since the model's initial release. AI

Summary written by gemini-2.5-flash-lite from 1 source. How we write summaries →

IMPACT Demonstrates substantial efficiency gains in LLM inference, potentially lowering operational costs and increasing deployment feasibility.

RANK_REASON The cluster reports on a performance improvement for an existing model, not a new release or a significant industry event. [lever_c_demoted from research: ic=1 ai=1.0]

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SGLang's MI355x boosts DeepSeekv4 Pro throughput over 10x per GPU

COVERAGE [1]

  1. X — SemiAnalysis TIER_1 · SemiAnalysis_ ·

    Canyon Overlook, @ZionNPS - MI355x on SGLang has achieved >10x improvement on throughput PER GPU since day-0 release for DeepSeekv4 Pro. HUGE W to the 10x en

    Canyon Overlook, @ZionNPS - MI355x on SGLang has achieved >10x improvement on throughput PER GPU since day-0 release for DeepSeekv4 Pro. HUGE W to the 10x engineers at Hai's team from @amd and @sgl_project! @EmadBarsoumPi @AnushElangovan https://t.co/O8DL9a1VD0