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Learn how to evaluate and optimize AI technology stacks for edge deployment in this 10-minute conference talk from DevConf.US 2025. Discover the critical factors involved in selecting the right combination of models, runtimes, operating systems, and hardware for AI-based products. Explore a project that enables users to specify, simulate, and compare different AI stack configurations side-by-side to determine optimal performance for specific use cases. Gain insights into edge model deployment strategies, understand relevant performance metrics, and learn about the size and performance variations among different AI models. Master the process of running interactive AI models directly on your local machine while making informed decisions about technology stack selection through visualized and aggregated performance data.
Syllabus
Characterizing AI inferencing stacks - DevConf.US 2025
Taught by
DevConf