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Created Which GPU should I buy for ComfyUI? (markdown)
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Which-GPU-should-I-buy-for-ComfyUI?.md
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# Which GPU should I buy?
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This is a tier list of which consumer GPUs I would recommend for using with ComfyUI.
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In AI the most important thing is the software stack which is why this is ranked this way.
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# S Tier
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## Nvidia
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All Nvidia GPUs from the last 10 years (since Maxwell) are supported in pytorch and they work very well.
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3000 series and above are recommended for best performance. More vram is always preferable.
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# B Tier
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## AMD (Linux)
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Officially supported in pytorch.
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Works well if the card is [officially supported](https://rocm.docs.amd.com/projects/install-on-linux/en/latest/reference/system-requirements.html) by ROCm but they are slow compared to price equivalent Nvidia GPUs mainly because of the lack of an optimized implementation of [torch.nn.functional.scaled_dot_product_attention](https://pytorch.org/docs/stable/generated/torch.nn.functional.scaled_dot_product_attention.html) for consumer GPUs.
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Unsupported cards might be a real pain to get running.
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# C Tier
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## Mac with Apple silicon
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Officially supported in pytorch. It works but they love randomly breaking things with OS updates.
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## Intel (Linux + Windows)
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It works but it requires a custom pytorch extension and there are sometimes some weird issues.
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I expect things to improve over time especially once it is officially supported in pytorch.
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# D Tier
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## AMD (Windows)
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It requires a pytorch extension (pytorch directml) or a custom zluda pytorch build.
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You will have a painful experience.
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Things might improve in the future once they have pytorch ROCm working on windows.
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# F Tier
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## Qualcomm AI PC
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Pytorch doesn't work at all.
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Some quotes from someone with knowledge of the hardware and software stack: "Avoid", "Nothing works", "Worthless for any AI use"
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