Instructions to use kernels-community/trimul_gpumode with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Kernels
How to use kernels-community/trimul_gpumode with Kernels:
# !pip install kernels from kernels import get_kernel kernel = get_kernel("kernels-community/trimul_gpumode") - Notebooks
- Google Colab
- Kaggle
Starting from September 13, 2026, we will be removing the "model" type repositories of kernels (e.g., kernels-community/flash-attn3). Make sure you're using a latest version of kernels. If you face any disruption, please report them here: https://github.com/huggingface/kernels/issues/new.
These are kernels from the GPUMODE trimul competition written in Triton
The kernel_mi300 ranked first for MI300, kernel_a100 ranked first for A100, kernel_b100 ranked second for B200, and kernel_h100 ranked third for H100. These kernels are copied from the trimul repository.
The kernel_global has the highest average ranking across all architectures, and was copied and adapted from the gpumode-trimul repository.
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