NVIDIA CUDA Tile is a GPU-based programming model that targets portability for NVIDIA Tensor Cores, unlocking peak GPU performance. One of the great things about CUDA Tile is that you can build your own DSL on top of it. This post shares the work NVIDIA is doing to integrate CUDA Tile as a backend for OpenAI Triton , an open source Python DSL designed to write DL kernels for GPUs. OpenAI Triton supports tiled computation, a technique that divides data and computational tasks into small blocks. Triton contains an MLIR-based compiler that generates PTX . This enables researchers without CUDA experience to write efficient GPU code.  What are CUDA Tile and CUDA Tile IR? CUDA Tile extends the CUDA programming model to enable first-class support for tile programming. Introduced in CUDA 13.1 , CUDA Tile represents a paradigm shift in GPU programming.…