English(EN) What GPUs will give me GOOD speeds and on DSV4 Flash and similar models, and not have to run a mega quantized version? Budget around $15k-ish.

用户寻求15000美元的GPU配置用于本地部署LLM

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-11 18:36

一位用户正在寻求GPU推荐，以在本地运行大型语言模型（如DSV4 Flash和Qwen3.8-Flash-Next）并获得良好性能，目标是生成速度达到40-50+ tokens/秒，预填充速度达到1000+ tokens/秒。用户需要至少128 GB的VRAM，并倾向于NVIDIA显卡（因为CUDA），但如果性能相当，也愿意考虑AMD。预算约为15000美元，硬件必须能安装在Dell R740服务器中，最好使用三块或更少的GPU。 AI

影响为个人和组织本地运行LLM的硬件选择提供信息。

排序理由用户关于运行LLM硬件的查询。

在 r/LocalLLaMA 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: 8 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 用户关于运行LLM硬件的查询。
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]

r/LocalLLaMA TIER_1 English(EN) · /u/_TheWolfOfWalmart_ · 2026-09-11 18:36

哪些GPU能提供良好的DSV4 Flash及类似模型的运行速度，且无需运行超大程度量化版本？预算约1.5万美元左右。

<div class="md">I wish I could spend $15k on my own homelab hardware, but no this is for work lol. Like the title says, we're looking to run DSV4 Flash (and similar tier models) locally at good speeds, both for token gen and prompt processing.</p…

本文如何被排名

报道来源 [1]

哪些GPU能提供良好的DSV4 Flash及类似模型的运行速度，且无需运行超大程度量化版本？预算约1.5万美元左右。

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