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The previous post described my new local inference and training benchmark - Inference Arena. We talked about the list of models, the platforms, and the metrics captured....


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Looking at the screen, seeing my free space dropping by 20 GB from entering a Python development NixOS shell. It carries a few hand-selected ML libraries: pytorch, torchvision, transformers, onnx, and some more. That’s a ton of code! I wonder how it fares against smaller and newer libraries, including those made with Rust language.

Infenera

Here comes


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