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[GH-ISSUE #9] NVIDIA DGX Spark installation fails because hard dependency nvidia-vfx has no linux_aarch64 wheel #5
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Comfy-Org/ComfyUI_Nvidia_VFX_Nodes#5
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Originally created by @SpecterHi on GitHub (Mar 12, 2026).
Original GitHub issue: https://github.com/Comfy-Org/ComfyUI_Nvidia_VFX_Nodes/issues/9
ARM64/aarch64 installation fails because hard dependency
nvidia-vfxhas nolinux_aarch64wheelBody
Summary
I am trying to install
Nvidia_RTX_Nodes_ComfyUIon Linux ARM64 (aarch64), but installation fails because the project has a hard dependency onnvidia-vfx, andnvidia-vfxcurrently does not provide alinux_aarch64wheel.From what I can see, this is not a ComfyUI Manager issue. It is a platform compatibility issue caused by the required dependency.
Environment
aarch643.12.313.0580.1260.16.1Reproduction
Install the node, or directly run:
Actual result
Installation fails with:
The debug output shows that the package is checking only these wheel targets:
cp310 ... manylinux ... x86_64cp311 ... manylinux ... x86_64cp312-abi3 ... manylinux ... x86_64amd64There does not appear to be any
linux_aarch64wheel.Additional findings
This repository appears to require
nvidia-vfxas a hard dependency:requirements.txtincludesnvidia-vfxpyproject.tomlincludesnvidia-vfxnvvfxdirectly at startupAlso, the published
nvidia-vfxsource package is awheel-stubpackage that downloads a prebuilt wheel fromhttps://pypi.nvidia.com/, so this does not look like something users can build locally on ARM from source.Expected result
One of the following would help:
linux_aarch64support fornvidia-vfx, if ARM64 is intended to be supported.Nvidia_RTX_Nodes_ComfyUIis currentlyx86_64-only.Request
Could you confirm whether ARM64/aarch64 support is planned?
If not, please consider documenting that this node currently requires
x86_64Linux or Windows, so ARM users do not spend time debugging an installation path that cannot succeed.@jovan2009 commented on GitHub (Mar 12, 2026):
These are all the wheels that nvidia provides at this time
https://pypi.nvidia.com/nvidia-vfx/
If none of them work on your system probably it's only nvidia that can do something about it. Being version
0.1.0.1I guess it is still pretty early in the development cycle.@PhonicUK commented on GitHub (Mar 16, 2026):
+1 here, took me a while to even digest that the issue was down to NVIDIA not shipping ARM64 binaries, so not usable on DGX Spark / DGX Station
@os-sos commented on GitHub (Jul 22, 2026):
Looking forward to a solution to this. Hopefully they catch up to the DGX Spark hardware support. It's a pretty big community.