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Blackwell GPUs show 61% performance drop on Qwen3.5 model

A performance analysis by SemiAnalysis indicates that NVIDIA's Blackwell GPUs exhibit a significant 61% regression when running the SGLang Qwen3.5 397B model due to unsupported NVLink multicast for confidential computing. This issue specifically impacts the ability to efficiently distribute computations across multiple GPUs, hindering performance for large language models. AI

IMPACT This hardware limitation could slow down the deployment and efficiency of large language models on next-generation NVIDIA hardware.

RANK_REASON Analysis of hardware performance regression on a specific model. [lever_c_demoted from research: ic=1 ai=0.7]

Read on X — SemiAnalysis →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Blackwell GPUs show 61% performance drop on Qwen3.5 model

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0 / 100
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Tool
Analysis of hardware performance regression on a specific model. [lever_c_demoted from research: ic=1 ai=0.7]
Source corroboration
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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infra, model release
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High
Clearly on-topic for AI-industry coverage.
Story freshness
97 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

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COVERAGE [1]

  1. X — SemiAnalysis TIER_1 English(EN) · SemiAnalysis_ ·

    TRUTH SOCIAL: NVLink multicast is not supported on Blackwell "Confidential Computing" leading to 61% performance regression on SGLang Qwen3.5 397B according to

    TRUTH SOCIAL: NVLink multicast is not supported on Blackwell "Confidential Computing" leading to 61% performance regression on SGLang Qwen3.5 397B according to @verdacloud 's recent github ticket. NVIDIA's  "Confidential Computing" is complete slop as in addition Hopper's https:/…