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Explore the critical yet often misunderstood networking layer of modern AI infrastructure in this 25-minute conference talk from MLOps World's GenAI Summit 2025. Discover how networking protocols are evolving to support increasingly distributed and agentic AI systems, as Shub Argha from Arcade.dev demystifies the complex landscape of open source AI networking frameworks. Learn about cutting-edge protocols including Anthropic's Model Context Protocol (MCP), Google's Agent-to-Agent (A2A) frameworks, RDMA, and zero-copy inference technologies, and understand their impact on fine-tuning, multi-agent coordination, retrieval-augmented generation (RAG), and edge deployments. Examine how traditional protocols like gRPC and GraphQL are adapting to meet AI workload demands, identify where new standards are needed for multi-agent systems, and review real-world architectural examples from production environments. Gain insights into leading open source projects in this space and discover opportunities for developer contribution, while developing a comprehensive understanding of where the AI networking landscape is heading next.
