Scaling Recommendation System Inference with NVIDIA Merlin Hierarchical Parameter Server – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-03-25T16:00:00Z http://www.open-lab.net/blog/feed/ Shashank Verma <![CDATA[Scaling Recommendation System Inference with NVIDIA Merlin Hierarchical Parameter Server]]> http://www.open-lab.net/blog/?p=54195 2023-02-28T01:34:06Z 2022-08-31T18:00:00Z Recommendation systems are widely used today to personalize user experiences and improve customer engagement in various settings like e-commerce, social media,...]]> Recommendation systems are widely used today to personalize user experiences and improve customer engagement in various settings like e-commerce, social media,...

Recommendation systems are widely used today to personalize user experiences and improve customer engagement in various settings like e-commerce, social media, and news feeds. Serving user requests with low latency and high accuracy is critical to sustaining user engagement. This includes performing high-speed lookups and computations while seamlessly refreshing models with the newest��

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