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A panel discussion on taking AI infrastructure from prototypes to production, covering GPU scheduling, model orchestration, observability, governance, and scaling across hybrid environments. Discuss architectural trade-offs, best practices, and organizational realities of supporting production-grade AI.

gpu scheduling model orchestration observability governance scaling compute hybrid environments
AI Infrastructure That Scales: Foundations for Real-World Deployment
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