How do you optimize memory usage when deploying large generative models in production

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Can you show me how to optimize memory usage when deploying large generative models using python code?
Nov 8 in Generative AI by Ashutosh
• 7,050 points
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1 answer to this question.

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You can optimize memory usage when deploying large generative models by referring to the following:

In this reference code techniques like Quantization, Activation Checkpointing and mixed precision are used to optimize the memory usage when deploying generative models.

answered Nov 8 by nitin diwadi

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