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Forge Neo compatibility issue with older NVIDIA GPUs reported

A user is encountering an error with Forge Neo, a Stable Diffusion interface, due to their NVIDIA GeForce GTX 1080 Ti graphics card not being compatible with the current PyTorch installation. The error message indicates that the PyTorch version supports newer CUDA capabilities (sm_75 and above) than what the 1080 Ti provides (sm_61). The user is seeking information on whether Forge Neo can work with their hardware and what steps might be necessary to resolve the compatibility issue. AI

RANK_REASON User-generated content on a forum about software compatibility issues.

Read on r/StableDiffusion →

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

Forge Neo compatibility issue with older NVIDIA GPUs reported

How we ranked this

Signal score
0 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Meme
User-generated content on a forum about software compatibility issues.
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
other
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
Low
Off-topic or adjacent — cluster remains reachable but doesn't surface in AI-industry rankings.
Story freshness
125 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

Full methodology in our editorial standards.

COVERAGE [1]

  1. r/StableDiffusion TIER_2 English(EN) · /u/Luckrow ·

    Question about Forge Neo

    <!-- SC_OFF --><div class="md"><p>Hello there, I've been wanting to try Forge Neo since they added support to Anima, but im haven't been able to generate images.</p> <p>I believe is because of this: </p> <p>&quot;NVIDIA GeForce GTX 1080 Ti with CUDA capability sm_61 is not compat…