# NVIDIA Jetson AGX Orin

NVIDIA released the cuda.bindings.cudla module in cuda-bindings 13.3.0, a thin Cython-generated Python layer over the cuDLA C++ runtime that lets Jetson AGX Orin applications create DLA devices, load networks, register buffers and submit inference without writing C++. The module targets hybrid mode, where DLA tasks are enqueued on a CUDA stream alongside GPU preprocessing and postprocessing, and the same API applies on RTX Spark. The release notes that standalone mode, which needs NvSci buffers and sync primitives, is not supported in this version.

NVIDIA released the cuda.bindings.cudla module in cuda-bindings 13.3.0, a thin Cython-generated Python layer over the cuDLA C++ runtime that lets Jetson AGX Orin applications create DLA devices, load networks, register buffers and submit inference without writing C++. The module targets hybrid mode, where DLA tasks are enqueued on a CUDA stream alongside GPU preprocessing and postprocessing, and the same API applies on RTX Spark. The release notes that standalone mode, which needs NvSci buffers and sync primitives, is not supported in this version.