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Learn to design resilient and secure network foundations for AI/ML platforms in this 24-minute conference talk. Explore the critical role of network infrastructure as either an enabler or bottleneck for AI/ML workloads that demand more than basic connectivity. Discover architectural principles and best practices for building high-performance, secure network foundations when leveraging managed cloud services for AI/ML pipelines. Examine strategies for ensuring robust data ingestion, secure access to specialized AI hardware and data stores, and reliable pathways for model training and inference. Gain insights into overcoming common networking hurdles that can impede AI/ML initiatives and understand how to build an effective, secure backbone that supports cutting-edge innovation. Master the fundamentals of creating network infrastructure that serves as solid ground for demanding AI/ML platforms rather than a limiting factor.
