Modal and Scaling AI Inference with Erik Bernhardsson
Software Engineering Daily
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Navigating AI Capacity Planning
This chapter explores the intricacies of capacity planning for generative AI applications, highlighting challenges posed by fluctuating workloads and the need for resource pooling. It discusses the evolving landscape of AI infrastructure, emphasizing the roles of vector databases and the integration of large language models with traditional machine learning. The conversation also reflects on strategic considerations for startups in the AI space and the balance between ambition and feasibility in problem-solving.
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