An annual summit in Singapore for engineers, architects, platform teams, maintainers, and technical leaders working on open technology, AI infrastructure, and real industry practice.
Focused on engineers, architects, maintainers, platform teams, and ecosystem leaders.
A practical summit format built around deep exchange and curated conference content.
One main track with three parallel tracks and partner activities.
Scalable and governable AI systems, including open source models, inference, data foundations, performance, and reliability.
Multi-cloud and multi-region architectures, platform engineering, developer experience, and enterprise cloud-native practice.
Data platforms, streaming and batch architectures, data governance, and open source data technology adoption in production.
Security and privacy in AI and data systems, compliance, auditability, governance of open source components, and cross-cultural collaboration.
Robotics, edge systems, open hardware, cyber-physical infrastructure, and practical engineering across physical environments.
Founding, ecosystem, startup, and community partner models are designed to support a non-profit, engineering-first summit while protecting technical depth, audience quality, and program independence.
