PRESENTATION

1. Full-Stack AI Infrastructure Built To Scale Exponentially Infrastructure teams must move beyond patchwork solutions and design integrated, full-stack platforms purpose built for scale. 
3. This session explores how leading enterprises are seeking to architect a comprehensive, total infrastructure ecosystem that aligns hardware, software, and operational layers - from GPUs and networking to orchestration tools and model lifecycle management.
5. Building high-performance, scalable foundations that enable AI innovation without sacrificing reliability or control.

1. Core components of a scalable AI infrastructure stack: compute, storage, and orchestration • Integrating ML frameworks, pipelines, and developer tooling into infrastructure design
2. Strategies to support flexibility, performance, and cost-efficiency at scale
3. Avoiding bottlenecks and rework: aligning architecture to long-term AI roadmaps Session Available For Sponsorship