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Learn the fundamental engineering constraints and design decisions that shape GPUs and discover how these impact AI system performance in this 20-minute conference talk. Explore why AI engineers must understand GPUs as the world's most popular high-throughput mathematical co-processors, given AI systems' extreme demand for mathematical processing power. Trace the connection between GPU architecture and counter-intuitive performance characteristics of AI systems, gaining actionable insights for deploying and consuming AI technologies. Understand essential hardware concepts including processors, memory, and disks as they relate to GPU functionality, and discover how these foundational elements influence the development and optimization of AI applications.
