![]() Ownership: a distributed futures system for fine-grained tasksįor discussions about development and questions about usage.įor reporting bugs and filing feature requests.įor asking questions about how to use Ray.įor learning about Ray projects and best practices.Exoshuffle: large-scale data shuffle in Ray.If your application is written in Python, you can scale it with Ray, no other infrastructure required. Ray is designed to be general-purpose, meaning that it can performantly run any kind of workload. Built on top of Ray Core is a rich ecosystem of high-level libraries and frameworks for scaling specific workloads like reinforcement learning and model serving. ![]() It’s great for parallelizing single-machine Python applications with minimal code changes. With Ray, you can seamlessly scale the same code from a laptop to a cluster. Ray Core provides simple primitives for building distributed Python applications. Ray is a unified way to scale Python and AI applications from a laptop to a cluster. As convenient as they are, single-node development environments such as your laptop cannot scale to meet these demands. Today's ML workloads are increasingly compute-intensive. Ray runs on any machine, cluster, cloud provider, and Kubernetes, and features a growing Objects: Immutable values accessible across the cluster.Actors: Stateful worker processes created in the cluster.Tasks: Stateless functions executed in the cluster.To make a mutation possible you have to swim around the sea and eat small glowing dots or. You can enter a game like fish, blobfish or a worm, but then you have to evolve your character into bigger and stronger sea creatures. Explore deep waters in the role of one of the marine inhabitants. Or more about Ray Core and its key abstractions: DeepArt.io Upload a photo and apply different art styles with this AI image generator, or turn a picture into an AI portrait of yourself (also check out DreamScope ). Deep.io is a mysterious sea world IO game. Serve: Scalable and Programmable Serving.Datasets: Distributed Data Preprocessing.Learn more about Ray AIR and its libraries: Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for simplifying ML compute: Ray is a unified framework for scaling AI and Python applications.
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