Accelerating Blender Python Using CUDA

Originally published at: Accelerating Blender Python Using CUDA | NVIDIA Developer Blog

Simulated or synthetic data generation is an important emerging trend in the development of AI tools. Classically, these datasets can be used to address low-data problems or edge-case scenarios that might now be present in available real-world datasets. Emerging applications for synthetic data include establishing model performance levels, quantifying the domain of applicability, and next-generation…