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AI adoption will not be limited by model ideas alone. It will be limited by how fast we can deploy, secure, observe, and scale AI systems in production. Inference is where AI becomes real for most organizations. As AI moves from frontier labs into mainstream production, the operational challenges start to look increasingly cloud native: orchestration, autoscaling, routing, security, policy, and observability. This keynote explores why the next phase of AI adoption will move faster if PyTorch and cloud native communities work together to extend proven open source patterns.
Executive Director, Cloud and Infrastructure, The Linux Foundation
Jonathan Bryce is the Executive Director of Cloud & Infrastructure
at the Linux Foundation, where he leads both the Cloud Native Computing
Foundation (CNCF) and the OpenInfra Foundation—two of the largest and
most influential open source communities in the world. With over... Read More →