Writing High-Performance AI Kernels in Mojo: 10x Faster Than PyTorch

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Why Custom Kernels? PyTorch is fantastic for prototyping, but when you’re running the same operation billions of times, every microsecond counts. My SipIt algorithm computes L2 distances for 32,000 vocabulary candidates x 4,096 dimensions – per token . With 100+ tokens to recover, that’s 3.2+ billion distance computations. PyTorch’s generic implementations leave performance…

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