Ray
Ray is an AI compute engine consisting of a core distributed runtime and AI Libraries for accelerating ML workloads. Unified framework for scaling AI and Python applications from laptops to clusters with minimal code changes. Powers OpenAI's ChatGPT infrastructure. Specialized libraries include Ray Data (framework-agnostic data loading/transformation), Ray Train (distributed training for PyTorch/TensorFlow), Ray Tune (hyperparameter tuning), and Ray Serve (model serving). Run distributed training for Gen AI foundation models, time series, XGBoost at scale with one line of code. Simplifies development and deployment of large-scale AI models with built-in scalability.
