PRESENTATION

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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.

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.

Building high-performance, scalable foundations that enable AI innovation without
sacrificing reliability or control.

Core components of a scalable AI infrastructure stack: compute, storage, and orchestration
Integrating ML frameworks, pipelines, and developer tooling into infrastructure design

    • Strategies to support flexibility, performance, and cost-efficiency at scale   

   • Avoiding bottlenecks and rework: aligning architecture to long-term AI roadmaps