NVIDIA has announced the addition of native Python support to its CUDA platform, a move that is expected to accelerate AI research and development. By allowing developers to write GPU-accelerated code directly in Python, NVIDIA is lowering the barrier to entry for those who want to leverage the power of GPUs for machine learning and data science. The new feature eliminates the need for complex C++ programming, making it easier for researchers, students, and startups to experiment with high-performance computing. NVIDIA says the update will also improve interoperability with popular AI frameworks such as TensorFlow and PyTorch. The company is releasing extensive documentation and tutorials to help users get started, and it plans to gather feedback to further refine the integration. This development is seen as a major step toward democratizing access to advanced AI infrastructure.