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_posts/2025-10-21-tvm-ffi.md

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The project draws collective wisdoms of the Machine Learning System community and python open source ecosystem, including past development insights of many developers from numpy, PyTorch, JAX, Caffe, mxnet, XGBoost, cuPy, pybind11, nanobind and more.
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We would specifically like to thank the PyTorch team, JAX team, CUDA python team, cuteDSL team, cuTile team, Apache TVM community, XGBoost team, TiLang team, Triton distributed team, FlashInfer team, SGLang community, TensorRT-LLM community, the vLLM community, for their their insightful feedbacks.
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We would specifically like to thank the PyTorch team, JAX team, CUDA python team, cuteDSL team, cuTile team, Apache TVM community, XGBoost team, TileLang team, Triton distributed team, FlashInfer team, SGLang community, TensorRT-LLM community, the vLLM community, for their their insightful feedbacks.

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