Ray is the AI Compute Engine designed to orchestrate distributed workloads across any accelerator at any scale. It enables teams to overcome AI complexity by supporting various AI and ML workloads. Ray boasts Python-native capabilities, allowing for the scaling of Python code. It also handles multi-modal data processing, distributed model training, efficient model serving, and reinforcement learning tasks. With support for heterogenous GPUs and CPUs, Ray ensures optimized resource usage and scalability from individual laptops to thousands of GPUs.
