End-to-End Recommender Systems with Merlin: Part 3

At a Glance: So far we have gone through the pre-processing pipeline of the Criteo Dataset using the standard NVTabular toolkit present inside Merlin SDKs. This was a part of the ETL processing and it is present under Part 1. Followed by this, in Part 2, we have gone through the training procedures using the HugeCTR architecture. We have explored 4 standard state-of-the-art architectures using HugeCTR training toolkits inside Merlin. In this section, we are going to explore the inference implementation which is the final deployment process using the Triton Inference Server. Nvidia's Merlin contains 3 crucial components.