Ray is an open-source Python-native framework designed to scale AI, machine learning, and Python applications across distributed infrastructure ranging from laptops to thousands of nodes. It supports end-to-end workflows including data processing, model training, fine-tuning, and inference for workloads such as simulations, multimodal data processing, generative AI, and large language model serving.