[GH-ISSUE #1077] [Feature Request]: RTX 50 series Support #294

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opened 2026-10-31 22:11:15 +00:00 by bsakaguchi · 1 comment
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Originally created by @tufeixp on GitHub (Mar 25, 2025).
Original GitHub issue: https://github.com/Comfy-Org/desktop/issues/1077

Prerequisites

  • I have searched the existing issues and checked the recent builds/commits
  • I have read the documentation and this feature is not already available
  • This is a single feature request (not multiple features combined)

Problem Statement

Do you have a plan and timeline to support rtx-50 series Nvidia cards?

Proposed Solution

Add Cuda 12.8 support

Potential workflow

Add Cuda 12.8 support

Impact Level

Critical (Blocking my work)

Alternatives Considered

No response

Additional information

No response

┆Issue is synchronized with this Notion page by Unito

Originally created by @tufeixp on GitHub (Mar 25, 2025). Original GitHub issue: https://github.com/Comfy-Org/desktop/issues/1077 ### Prerequisites - [x] I have searched the existing issues and checked the recent builds/commits - [x] I have read the documentation and this feature is not already available - [x] This is a single feature request (not multiple features combined) ### Problem Statement Do you have a plan and timeline to support rtx-50 series Nvidia cards? ### Proposed Solution Add Cuda 12.8 support ### Potential workflow Add Cuda 12.8 support ### Impact Level Critical (Blocking my work) ### Alternatives Considered _No response_ ### Additional information _No response_ ┆Issue is synchronized with this [Notion page](https://www.notion.so/Issue-1077-Feature-Request-RTX-50-series-Support-1c16d73d36508110b744d3c31adef67a) by [Unito](https://www.unito.io)
bsakaguchi 2026-10-31 22:11:15 +00:00
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@benceruleanlu commented on GitHub (Apr 14, 2025):

For anyone wondering, you can just paste https://download.pytorch.org/whl/nightly/cu128 into the pytorch mirror on the last step of the install process to get nightly pytorch, which supports blackwell.

<!-- gh-comment-id:2802321983 --> @benceruleanlu commented on GitHub (Apr 14, 2025): For anyone wondering, you can just paste https://download.pytorch.org/whl/nightly/cu128 into the pytorch mirror on the last step of the install process to get nightly pytorch, which supports blackwell.
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Comfy-Org/desktop#294
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