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Explore how to build enterprise-grade GenAI platforms using open-source components while maintaining complete data sovereignty and control in this 29-minute conference talk from the Linux Foundation. Learn from practical implementation experiences that demonstrate how enterprises can harness transformative GenAI capabilities without sacrificing data control to commercial AI providers. Discover an open-source architecture that integrates model serving technologies like KServe and vLLM, orchestration tools, agentic frameworks, and no-code/low-code interfaces to deliver enterprise-ready solutions while keeping sensitive data securely behind your firewall. Examine real-world implementation examples that address critical challenges including scaling, compliance, and performance optimization, while gaining insights into what approaches succeeded and failed during the development process. Understand how this comprehensive open-source approach enables enterprises to resolve the critical dilemma between rapid innovation and maintaining control over their AI infrastructure and data assets.
