Self-hosting & scaling models
Practical AI
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Navigating Model Deployment Challenges
This chapter explores the intricate process of deploying machine learning models in production, emphasizing the importance of infrastructure, data privacy, and user requirements. It highlights the shift towards self-hosting solutions and the need for experienced engineers, while discussing the advantages of streamlined platforms for accelerating production. Additionally, the chapter addresses the evolving landscape of model deployment, including edge computing trends and the balancing act of optimizing for diverse device types.
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