Mohamed Imran K R

Inside LLM Infrastructure: Scaling, Routing, and Resiliency in Modern AI Systems," focusing on NVIDIA resiliency

As large language models (LLMs) move from experimentation to production, building reliable and scalable infrastructure has become critical. This session takes a deep dive into the architecture behind modern LLM systems—covering how organizations scale model deployments, intelligently route workloads, and design resilient AI platforms that can handle real-world demand. With a focus on NVIDIA’s approach to resiliency, the discussion will highlight how advanced GPU infrastructure, optimized networking, and fault-tolerant system design help ensure consistent performance even under heavy and unpredictable workloads. Attendees will gain insights into best practices for maintaining uptime, improving efficiency, and building robust AI systems that can support enterprise-scale generative AI applications.