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As a data scientist or machine learning engineer, you’re constantly challenged with building accurate models and deploying and scaling them effectively. The demand for AI-driven solutions is skyrocketing, and mastering the art of scaling machine learning (ML) applications has become more critical than ever. This is where Kubernetes emerges as a game-changer, often abbreviated as K8s.

In this blog, we’ll see how you can leverage Kubernetes to scale machine learning applications...

The post Tensorflow or PyTorch + K8s = ML apps at scale appeared first on Amazic.

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