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Triton at the Core: Building Portable LLM Operator Libraries with FlagGems and Benchmarking Against Native CUDA

Originally published on tamiz.pro . GPU portability for LLM inference is still a fiction for most teams: the operator stack that makes PyTorch fast on NVIDIA is precisely the stack that makes it slow (or broken) on AMD, Intel, and emerging accelerators. The reason is architectural, not political. C…

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  1. 2026-11-03 06:23 · DEV Community — AI
    Triton at the Core: Building Portable LLM Operator Libraries with FlagGems and Benchmarking Against Native CUDA

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