

Ray Summit surface as the leading AI event bringing together the global Ray community to address these challenges head-on. This essential gathering connects machine learning practitioners, data scientists, developers, MLOps professionals, and architects who are building and deploying large-scale AI applications. Ray Summit provides the knowledge, community connections, and practical insights needed to transform ambitious AI projects into production-ready systems that scale effectively and deliver measurable business value.
Ray Fundamentals Training — Deep dives into the core concepts and architecture of the Ray framework
Real-World Success Stories — Large-scale AI and ML systems running at massive scale, with real examples you can apply
Battle-Tested Best Practices — Proven approaches from practitioners who have successfully deployed production AI systems
Innovation Spotlight — Emerging applications and innovative implementations of Ray across industries
Production-Ready MLOps — Practical guidance for operationalizing machine learning at scale
Community Deep Dives — Direct access to Ray contributors, maintainers, and power users
Future-Forward Discussions — Forward-looking conversations about trends shaping distributed computing and AI
Skills-Building Workshops — Interactive, hands-on sessions for building practical expertise with Ray technologies
Learn from the Experts — Connect with practitioners who have successfully scaled AI applications from prototype to production using Ray. Gain exposure to proven patterns and architectures that solve common distributed computing challenges in machine learning workflows.
Join a Global Network — Access the worldwide Ray community including core contributors, industry experts, and peers facing similar scaling challenges. Discover insights and best practices available only through direct interaction with experienced practitioners.
Unlock New Possibilities — Explore cutting-edge use cases and emerging applications that could transform your organization’s AI capabilities. The focused format enables efficient exploration of advanced topics while building relationships essential for continued learning and collaboration.
Machine Learning Practitioners — Building and optimizing ML models and pipelines
Data Scientists — Working with large datasets and complex analytical workflows
Software Developers — Implementing AI applications and distributed systems
MLOps Professionals — Managing machine learning operations and deployment infrastructure
AI Architects — Designing scalable AI systems and technical architectures
Research Scientists — Transitioning from research to production AI implementations
Platform Engineers — Building infrastructure for large-scale ML and AI workloads
Technical Leaders — Making strategic decisions about AI technology stacks and frameworks
As AI applications continue growing in complexity and scale, the technical knowledge and community connections developed at Ray Summit represent a crucial investment in both professional expertise and project success. The Ray ecosystem continues expanding rapidly, making this gathering essential for staying current with best practices. Register Now!