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What’s Next for AI? Key Trends and Insights
Gain a forward-looking view of where AI infrastructure is headed and the next-generation technologies shaping future AI data centers, networks, and systems.
Understand how compute, networking, and storage are converging, and why system-level design, ML runtime acceleration, and workload reliability are critical for AI at scale.
Learn why realistic performance validation, testing, and real-world emulation are essential as AI systems grow in size, speed, and complexity.
Explore data-backed insights from hyperscalers and AI cluster operators on optimizing performance, reducing bottlenecks, improving network design, and increasing AI infrastructure ROI.
This bootcamp is ideal for enterprise and hyperscale teams focused on AI networking, system performance, and infrastructure scalability.
This is Part 2 of the AI Data Centers: Tips, Trends, and Tech and builds on Part 1: Scaling AI Data Centers: Cutting Edge Strategies for Deployment, which should be completed first for the best learning experience. After completing Part 2, continue with Part 3: Key Technologies Enabling Next-Gen AI.