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Explore the critical need for standardization in AI/ML artifacts within the cloud native ecosystem through this 27-minute panel discussion featuring experts from BentoML, Ant Group, and PayPal. Discover how the current fragmentation of AI/ML implementations—each introducing unique formats, runtimes, and workflows—threatens scalability and management in cloud native environments. Learn about the importance of establishing open standards as the foundation for cohesive and scalable ecosystems, particularly within the CNCF framework. Examine how standardized AI/ML artifacts can facilitate seamless integration with existing cloud native tools while serving as a catalyst for innovation. Gain insights into how thoughtful standardization approaches can advance the entire cloud native AI landscape, moving beyond fragmented solutions toward unified, interoperable systems that support large-scale deployment and management of AI/ML workloads.
Syllabus
Defining a Specification for AI/ML Artifacts - Fog Dong, Peng Tao, Chlins Zhang & Xudong Wang
Taught by
CNCF [Cloud Native Computing Foundation]