TensorFlow Serving of AI models with Celery Workers
As AI applications proliferate across industries, it is important to develop strategies to deploy these applications with high performance and at scale. With the help of Python, Celery and TensorFlow Serving, it is possible to easily deploy Machine Learning models as well as send tasks asynchronously to multiple workers using the Celery task queueing mechanism.
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