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A research team is training a large model on 128 processing units, and the process takes 10 days. To accelerate the training, they double the number of processing units to 256. However, the new training time is 7 days, not the expected 5 days. Which of the following statements best analyzes this outcome?
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Ch.2 Generative Models - Foundations of Large Language Models
Foundations of Large Language Models
Foundations of Large Language Models Course
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Synchronization Costs in Distributed Systems
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Additional Scalability Factors in Distributed Training
Numerical Computation Issues in Distributed Training
A research team is training a large model on 128 processing units, and the process takes 10 days. To accelerate the training, they double the number of processing units to 256. However, the new training time is 7 days, not the expected 5 days. Which of the following statements best analyzes this outcome?
Scaling Challenges in LLM Training
Match each distributed training problem scenario with the primary underlying factor that causes it.