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Navigating Resource Allocation in AI and Computing
This chapter explores the intricacies of resource management in computational frameworks, focusing on GPU allocation for language models and neural architecture searches. It highlights the challenges of prioritizing tasks and the potential for conflicts, while discussing tools like Modal that can enhance resource auto-scaling in research environments.