English(EN) Is being able to use multiple GPUs ever going to be a reality?

AI用户寻求集成式多GPU显存池以支持本地模型生成

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-05 06:29

用户正在探讨整合多个GPU的显存以增强本地AI模型生成能力的可行性，特别是针对Stable Diffusion。目前的限制通常需要使用系统内存作为变通方法，用户希望在ComfyUI等流行界面中获得集成式、用户友好的解决方案，而不是复杂的、小众的流程。核心问题在于，这种多GPU显存池是否会成为一项标准功能。 AI

影响如果多GPU显存池变得可用，则有可能提高本地AI模型生成的性能。

排序理由用户讨论AI模型生成基础设施的潜在未来功能。

在 r/StableDiffusion 阅读 →

Stable Diffusion

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: 0 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Commentary; 用户讨论AI模型生成基础设施的潜在未来功能。
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: Same-day; Cluster formed today. Ranking reflects the current source set at time of score.

完整方法见我们的编辑标准。

报道来源 [1]

r/StableDiffusion TIER_2 English(EN) · /u/PusheenHater · 2026-09-05 06:29

多GPU使用能力何时才能成为现实？

<div class="md"><p>Obviously the major limiting factor for what you can generate locally is your VRAM. There are workarounds by using RAM. But if only you can use multiple GPUs and combine your VRAM, that would be good. Especially since we have old GPUs just laying…

本文如何被排名

报道来源 [1]

多GPU使用能力何时才能成为现实？

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