During December 2025, Holtmann enhanced the jeejeelee/vllm repository by developing a feature that improves CUDA kernel compatibility across various NVIDIA SM versions. He implemented device guard and runtime dispatch mechanisms for the cutlass_scaled_fp4_mm kernel, enabling broader hardware support and more robust error handling when running tensor operations on diverse GPUs. This work, delivered in C++ with a focus on CUDA and GPU programming, addressed deployment challenges by ensuring stable kernel execution across different architectures. Although the contribution was limited to a single feature within the month, it demonstrated depth in low-level GPU compatibility and maintainability for production environments.