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Explore the massive infrastructure challenges and economic implications of the current AI boom in this 30-minute roundtable discussion from Networking Field Day 39. Examine how AI's exponential resource demands are overwhelming existing power grids and creating widespread component shortages for essential hardware like RAM and GPUs, affecting everyone from enterprise users to home gamers. Discover how consumers are bearing the costs through rising power and water bills as AI companies outbid ordinary users for finite resources. Learn about emerging solutions including investigations into small modular nuclear reactors, the restart of facilities like Three Mile Island, and developments in solar power. Understand how resource demands are driving the creation of expensive new networking technologies like Ultra Ethernet and 800-gig switches, with R&D costs inevitably passed to consumers. Analyze the evolution of AI from massive LLMs to more efficient domain-specific smaller models and agentic AI, and consider the potential shift from giant cloud data centers to local device processing with NPUs. Gain insights into how the future of AI will be shaped not just by hyperscalers, but by consumer choices and engineering criticism of resource-wasting practices.
Syllabus
The Resource Costs of AI
Taught by
Tech Field Day