Ray is a unified framework for scaling AI and Python applications. It provides simple, universal primitives for building distributed applications. Ray is commonly used for scaling machine learning workloads, reinforcement learning, model serving, and general-purpose distributed computing. It simplifies the process of parallelizing tasks and managing distributed resources.
Whether you're looking to get your foot in the door, find the right person to talk to, or close the deal — accurate, detailed, trustworthy, and timely information about the organization you're selling to is invaluable.
Use Sumble to: