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Learn about AI-native networking infrastructure designed specifically for AI factories in this 11-minute conference talk. Explore how modern data center networking must evolve to support the unique demands of artificial intelligence workloads, including the massive computational requirements, data movement patterns, and scalability challenges inherent in AI training and inference operations. Discover the architectural principles and networking technologies that enable efficient AI model development and deployment at scale, with insights into optimizing network performance for machine learning workflows. Gain understanding of how traditional networking approaches fall short in AI environments and what new paradigms are emerging to address the specific connectivity, bandwidth, and latency requirements of AI-driven data centers.
