10min chapter

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Efficient Deployment of Models at the Edge // Krishna Sridhar // #284

MLOps.community

CHAPTER

Optimizing Edge Model Deployment

This chapter explores the efficient deployment of AI models at the edge, emphasizing the use of advanced chips like Qualcomm's SoCs for tasks such as food spoilage detection. It highlights the user-friendly process for developers to train and deploy models through the AI hub, alongside partnerships that simplify accessibility and integration across various platforms.

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