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content/blog/2025-08-25-1756113601.md

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@@ -53,6 +53,7 @@ For 10k iterations:
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| 2.3s | ggml + CUDA | Windows |
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| 5.3s | ggml + Vulkan | Windows |
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It's interesting that `torch.compile()` was slower than plain torch on both Windows and Ubuntu Linux (WSL). And plain torch was pretty close to TensorRT and TensorRT RTX on Windows.
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Maybe the model (and data) is too small? I'll pick a more representative model next - the Unet of a Stable Diffusion 1.5 model.

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