English(EN) What GPU do you need for Qwen3.8, Qwen3.6, Gemma 4 and gpt-oss locally? (measured, Oct 2026)

GPU基准测试揭示 Qwen、Gemma 和 gpt-oss 本地大模型性能

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-24 19:12

本文提供了包括 Qwen3.8、Qwen3.6、Gemma 4 和 gpt-oss 在内的几款开源大语言模型在不同 GPU 上的实测生成速度。文章详细介绍了不同模型大小和架构（密集型 vs. 混合专家模型）的每秒 token 性能，并强调了显存带宽、量化和推测解码等因素的影响。该分析旨在帮助用户确定哪些硬件适合在本地运行这些模型，并根据具体的模型需求和 GPU 功能提供建议。 AI

影响为用户提供了关于在本地运行各种开源大语言模型的硬件要求的实用指导。

排序理由文章提供了在消费级硬件上本地运行大语言模型的实测性能数据，为用户提供了实用指南。

在 dev.to — LLM tag 阅读 →

基础设施

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

本文如何被排名

Signal score: 30 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 文章提供了在消费级硬件上本地运行大语言模型的实测性能数据，为用户提供了实用指南。
Source corroboration: Single-source cluster; 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.
Topics: infra; Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance: High; Clearly on-topic for AI-industry coverage.
Story freshness: Breaking (< 6h); Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

完整方法见我们的编辑标准。

报道来源 [1]

dev.to — LLM tag TIER_1 English(EN) · RigBase · 2026-10-24 19:12

What GPU do you need for Qwen3.8, Qwen3.6, Gemma 4 and gpt-oss locally? (measured, Oct 2026)

Every time a new open model comes out, people ask the same thing: will it run on my card, and how fast? Spec-sheet calculators can tell you whether the weights fit. They can't tell you what speed you'll actually get. So here are measured gene…

本文如何被排名

报道来源 [1]

What GPU do you need for Qwen3.8, Qwen3.6, Gemma 4 and gpt-oss locally? (measured, Oct 2026)

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