Ray
Ray is an advanced deep learning software that streamlines the orchestration of distributed workloads across any infrastructure. Designed for developers, it enables seamless scaling of Python code for diverse AI applications, from data processing to model serving, while optimizing resource utilization and reducing costs. Ray empowers teams to tackle complex AI challenges swiftly and efficiently.
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Top Ray Features
- Python-native distributed computing
- Seamless scaling for any workload
- Support for multimodal models
- Independent scaling for model serving
- Fractional resource utilization
- Built-in reinforcement learning workflows
- Easy integration with existing frameworks
- Optimized for heterogeneous compute usage
- High-level ML libraries for developers
- Simplified end-to-end AI workflows
- Rapid hyperparameter tuning capabilities
- GPU utilization maximization
- Cost reduction for batch inference
- Community-driven open-source support
- Easy deployment of business logic
- Debugging and optimization tools
- Accelerated iteration for production models
- Fully managed AI platform
- Hands-on training and expert support
- Scalable model fine-tuning solutions
