The Neural Network Exchange Format (NNEF) is an open, standardized data format designed to enable seamless exchange of trained neural network models between deep learning frameworks and hardware acceleration platforms. As neural networks move from research to real-world applications, the diversity of frameworks and specialized hardware has created fragmentation and compatibility challenges. NNEF addresses this by providing a unified format that encapsulates both the network structure and network data, using a human-readable, script-like syntax along with a standardized set of operations. This allows models trained in any supported framework to be exported to NNEF and easily consumed by different execution engines, regardless of the underlying hardware. Ultimately, NNEF simplifies integration across the ML ecosystem, supporting toolchain interoperability and paving the way for hardware-agnostic neural network deployment.