As organizations transition AI from experimental phases to high-scale production, infrastructure requirements have evolved to prioritize GPU scheduling, model serving, and latency management. The new track addresses these challenges by highlighting tools such as vLLM, KServe, and Ray, aiming to bridge the gap between traditional cloud native operations and the specific needs of generative AI and autonomous agents.

Beyond AI, the conference maintains its focus on platform engineering and security, two pillars of enterprise scaling. Sessions will cover the integration of internal developer platforms, GitOps workflows, and supply chain protection. The event kicks off with a series of co-located gatherings on November 9, including ArgoCon, BackstageCon, and Cloud Native AI + Inference Day. Standard registration remains open until September 2, with scholarship applications available for community members through October.