Escaping the "dark ages" of AI infrastructure
Practical AI
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Scaling AI Infrastructure: Strategies and Challenges
This chapter examines the complexities of scaling AI infrastructure in large organizations, addressing workload management and resource allocation. It covers strategies like hybrid models for GPU resources, the significance of automation in AI processes, and the need for reproducibility to enhance collaboration among data scientists. Additionally, the chapter discusses the intersection of productivity and privacy in AI, offering practical advice for newcomers in the field.
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