Npunlock: Running Custom C Kernels on Intel NPUs

Npunlock is a new open-source project that enables developers to execute custom C kernels on Intel Neural Processing Units (NPUs). By bypassing standard driver limitations, this tool provides a mechanism for low-level interaction with NPU hardware, allowing for specialized computational tasks that go beyond standard AI inference workloads. The project is designed for developers looking to optimize performance by writing bespoke kernels that run directly on the NPU silicon. By providing a bridge between standard C code and the proprietary NPU architecture, Npunlock opens up new possibilities for research, performance benchmarking, and custom acceleration. The tool is currently available on GitHub and is intended for advanced users familiar with hardware-level programming and driver interaction. This release marks a significant step for the open-source community in gaining better control over modern integrated AI hardware, potentially leading to more efficient and flexible deployment of custom neural network operations.