From 44a21cec86176ff82a62a679181d4041d7e1f70a Mon Sep 17 00:00:00 2001
From: docs-sched-rebuild <do-not-send-@github.com>
Date: Sat, 16 Dec 2023 08:45:20 +0000
Subject: [PATCH] Pushing changes to GitHub Pages.

---
 stable/README.html                            |   2 --
 stable/containers.html                        |   2 --
 ...lding-Recommender-Systems-with-Merlin.html |   2 --
 ...ulti-stage-RecSys-with-Merlin-Systems.html |   2 --
 .../index.html                                |   2 --
 ...prediction-with-pretrained-embeddings.html |   2 --
 .../tf/transformers-next-item-prediction.html |   2 --
 .../01-Download-Convert.html                  |   2 --
 .../02-ETL-with-NVTabular.html                |   2 --
 .../03-Training-with-HugeCTR.html             |   2 --
 .../03-Training-with-PyTorch.html             |   8 +++-----
 .../03-Training-with-TF.html                  |   2 --
 .../04-Triton-Inference-with-TF.html          |   8 +++-----
 .../getting-started-movielens/index.html      |   4 ----
 stable/examples/index.html                    |   4 +---
 stable/examples/quick_start/index.html        |   2 --
 stable/examples/quick_start/ranking.html      |   2 --
 .../quick_start/scripts/inference/index.html  |   2 --
 .../scripts/inference/inference.html          |   2 --
 .../quick_start/scripts/preproc/index.html    |   2 --
 .../scripts/ranking/hypertuning/index.html    |   2 --
 .../hypertuning/tutorial_with_wb_sweeps.html  |   2 --
 .../quick_start/scripts/ranking/index.html    |   2 --
 stable/examples/ranking/index.html            |   2 --
 ...ng-DLRM-model-with-Models-and-Systems.html |   2 --
 .../examples/sagemaker-tensorflow/index.html  |   2 --
 .../sagemaker-merlin-tensorflow.html          |   2 --
 .../scaling-criteo/01-Download-Convert.html   |   2 --
 .../scaling-criteo/02-ETL-with-NVTabular.html |   2 --
 .../03-Training-with-HugeCTR.html             |   2 --
 ...raining-with-Merlin-Models-TensorFlow.html |   8 +++-----
 ...ference-with-Merlin-Models-TensorFlow.html |   8 +++-----
 stable/examples/scaling-criteo/index.html     |   7 ++-----
 ...An-Implicit-Model-With-Merlin-Systems.html |   2 --
 ...-An-XGboost-Model-With-Merlin-Systems.html |   2 --
 .../nvcr.io-nvidia-merlin-merlin-hugectr.html |   2 --
 .../nvcr.io-nvidia-merlin-merlin-pytorch.html |   2 --
 ...cr.io-nvidia-merlin-merlin-tensorflow.html |   2 --
 stable/genindex.html                          |   2 --
 stable/guide/recommender_models.html          |   2 --
 stable/guide/recommender_system_guide.html    |   2 --
 stable/index.html                             |   2 --
 stable/objects.inv                            | Bin 1450 -> 1426 bytes
 stable/search.html                            |   2 --
 stable/searchindex.js                         |   2 +-
 stable/support_matrix/index.html              |   2 --
 .../support_matrix_merlin_hugectr.html        |   2 --
 .../support_matrix_merlin_pytorch.html        |   2 --
 .../support_matrix_merlin_tensorflow.html     |   2 --
 49 files changed, 16 insertions(+), 113 deletions(-)

diff --git a/stable/README.html b/stable/README.html
index 5fcbc2cf5..e955b6a00 100644
--- a/stable/README.html
+++ b/stable/README.html
@@ -189,7 +189,6 @@
 
 
 <li class="toctree-l3"><a class="reference internal" href="examples/getting-started-movielens/03-Training-with-PyTorch.html">Training with PyTorch</a></li>
-<li class="toctree-l3"><a class="reference internal" href="examples/getting-started-movielens/04-Triton-Inference-with-HugeCTR.html">Serving the HugeCTR Model with Triton</a></li>
 <li class="toctree-l3"><a class="reference internal" href="examples/getting-started-movielens/04-Triton-Inference-with-TF.html">Serve Recommendations from the TensorFlow Model</a></li>
 
 </ul>
@@ -208,7 +207,6 @@
 <li class="toctree-l3"><a class="reference internal" href="examples/scaling-criteo/02-ETL-with-NVTabular.html">Feature Engineering with NVTabular</a></li>
 <li class="toctree-l3"><a class="reference internal" href="examples/scaling-criteo/03-Training-with-HugeCTR.html">Training with HugeCTR</a></li>
 <li class="toctree-l3"><a class="reference internal" href="examples/scaling-criteo/03-Training-with-Merlin-Models-TensorFlow.html">Training with Merlin Models and TensorFlow</a></li>
-<li class="toctree-l3"><a class="reference internal" href="examples/scaling-criteo/04-Triton-Inference-with-HugeCTR.html">Deploy the HugeCTR Model with Triton</a></li>
 <li class="toctree-l3"><a class="reference internal" href="examples/scaling-criteo/04-Triton-Inference-with-Merlin-Models-TensorFlow.html">Deploy the TensorFlow Model with Triton</a></li>
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diff --git a/stable/containers.html b/stable/containers.html
index 6dc9ac600..90286e821 100644
--- a/stable/containers.html
+++ b/stable/containers.html
@@ -189,7 +189,6 @@
 
 
 <li class="toctree-l3"><a class="reference internal" href="examples/getting-started-movielens/03-Training-with-PyTorch.html">Training with PyTorch</a></li>
-<li class="toctree-l3"><a class="reference internal" href="examples/getting-started-movielens/04-Triton-Inference-with-HugeCTR.html">Serving the HugeCTR Model with Triton</a></li>
 <li class="toctree-l3"><a class="reference internal" href="examples/getting-started-movielens/04-Triton-Inference-with-TF.html">Serve Recommendations from the TensorFlow Model</a></li>
 
 </ul>
@@ -208,7 +207,6 @@
 <li class="toctree-l3"><a class="reference internal" href="examples/scaling-criteo/02-ETL-with-NVTabular.html">Feature Engineering with NVTabular</a></li>
 <li class="toctree-l3"><a class="reference internal" href="examples/scaling-criteo/03-Training-with-HugeCTR.html">Training with HugeCTR</a></li>
 <li class="toctree-l3"><a class="reference internal" href="examples/scaling-criteo/03-Training-with-Merlin-Models-TensorFlow.html">Training with Merlin Models and TensorFlow</a></li>
-<li class="toctree-l3"><a class="reference internal" href="examples/scaling-criteo/04-Triton-Inference-with-HugeCTR.html">Deploy the HugeCTR Model with Triton</a></li>
 <li class="toctree-l3"><a class="reference internal" href="examples/scaling-criteo/04-Triton-Inference-with-Merlin-Models-TensorFlow.html">Deploy the TensorFlow Model with Triton</a></li>
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diff --git a/stable/examples/Building-and-deploying-multi-stage-RecSys/01-Building-Recommender-Systems-with-Merlin.html b/stable/examples/Building-and-deploying-multi-stage-RecSys/01-Building-Recommender-Systems-with-Merlin.html
index 7d49acf6a..92ad24e95 100644
--- a/stable/examples/Building-and-deploying-multi-stage-RecSys/01-Building-Recommender-Systems-with-Merlin.html
+++ b/stable/examples/Building-and-deploying-multi-stage-RecSys/01-Building-Recommender-Systems-with-Merlin.html
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 <li class="toctree-l3"><a class="reference internal" href="../getting-started-movielens/03-Training-with-PyTorch.html">Training with PyTorch</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../getting-started-movielens/04-Triton-Inference-with-HugeCTR.html">Serving the HugeCTR Model with Triton</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../getting-started-movielens/04-Triton-Inference-with-TF.html">Serve Recommendations from the TensorFlow Model</a></li>
 
 </ul>
@@ -208,7 +207,6 @@
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 <li class="toctree-l3"><a class="reference internal" href="../scaling-criteo/03-Training-with-HugeCTR.html">Training with HugeCTR</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../scaling-criteo/03-Training-with-Merlin-Models-TensorFlow.html">Training with Merlin Models and TensorFlow</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../scaling-criteo/04-Triton-Inference-with-HugeCTR.html">Deploy the HugeCTR Model with Triton</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../scaling-criteo/04-Triton-Inference-with-Merlin-Models-TensorFlow.html">Deploy the TensorFlow Model with Triton</a></li>
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diff --git a/stable/examples/Building-and-deploying-multi-stage-RecSys/02-Deploying-multi-stage-RecSys-with-Merlin-Systems.html b/stable/examples/Building-and-deploying-multi-stage-RecSys/02-Deploying-multi-stage-RecSys-with-Merlin-Systems.html
index b20b40564..4c4c1af46 100644
--- a/stable/examples/Building-and-deploying-multi-stage-RecSys/02-Deploying-multi-stage-RecSys-with-Merlin-Systems.html
+++ b/stable/examples/Building-and-deploying-multi-stage-RecSys/02-Deploying-multi-stage-RecSys-with-Merlin-Systems.html
@@ -189,7 +189,6 @@
 
 
 <li class="toctree-l3"><a class="reference internal" href="../getting-started-movielens/03-Training-with-PyTorch.html">Training with PyTorch</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../getting-started-movielens/04-Triton-Inference-with-HugeCTR.html">Serving the HugeCTR Model with Triton</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../getting-started-movielens/04-Triton-Inference-with-TF.html">Serve Recommendations from the TensorFlow Model</a></li>
 
 </ul>
@@ -208,7 +207,6 @@
 <li class="toctree-l3"><a class="reference internal" href="../scaling-criteo/02-ETL-with-NVTabular.html">Feature Engineering with NVTabular</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../scaling-criteo/03-Training-with-HugeCTR.html">Training with HugeCTR</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../scaling-criteo/03-Training-with-Merlin-Models-TensorFlow.html">Training with Merlin Models and TensorFlow</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../scaling-criteo/04-Triton-Inference-with-HugeCTR.html">Deploy the HugeCTR Model with Triton</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../scaling-criteo/04-Triton-Inference-with-Merlin-Models-TensorFlow.html">Deploy the TensorFlow Model with Triton</a></li>
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diff --git a/stable/examples/Building-and-deploying-multi-stage-RecSys/index.html b/stable/examples/Building-and-deploying-multi-stage-RecSys/index.html
index 92f13c49c..ba6a391cb 100644
--- a/stable/examples/Building-and-deploying-multi-stage-RecSys/index.html
+++ b/stable/examples/Building-and-deploying-multi-stage-RecSys/index.html
@@ -189,7 +189,6 @@
 
 
 <li class="toctree-l3"><a class="reference internal" href="../getting-started-movielens/03-Training-with-PyTorch.html">Training with PyTorch</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../getting-started-movielens/04-Triton-Inference-with-HugeCTR.html">Serving the HugeCTR Model with Triton</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../getting-started-movielens/04-Triton-Inference-with-TF.html">Serve Recommendations from the TensorFlow Model</a></li>
 
 </ul>
@@ -208,7 +207,6 @@
 <li class="toctree-l3"><a class="reference internal" href="../scaling-criteo/02-ETL-with-NVTabular.html">Feature Engineering with NVTabular</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../scaling-criteo/03-Training-with-HugeCTR.html">Training with HugeCTR</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../scaling-criteo/03-Training-with-Merlin-Models-TensorFlow.html">Training with Merlin Models and TensorFlow</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../scaling-criteo/04-Triton-Inference-with-HugeCTR.html">Deploy the HugeCTR Model with Triton</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../scaling-criteo/04-Triton-Inference-with-Merlin-Models-TensorFlow.html">Deploy the TensorFlow Model with Triton</a></li>
 </ul>
 </li>
diff --git a/stable/examples/Next-Item-Prediction-with-Transformers/tf/transformers-next-item-prediction-with-pretrained-embeddings.html b/stable/examples/Next-Item-Prediction-with-Transformers/tf/transformers-next-item-prediction-with-pretrained-embeddings.html
index 6f5eed155..6e0b5add5 100644
--- a/stable/examples/Next-Item-Prediction-with-Transformers/tf/transformers-next-item-prediction-with-pretrained-embeddings.html
+++ b/stable/examples/Next-Item-Prediction-with-Transformers/tf/transformers-next-item-prediction-with-pretrained-embeddings.html
@@ -187,7 +187,6 @@
 
 
 <li class="toctree-l3"><a class="reference internal" href="../../getting-started-movielens/03-Training-with-PyTorch.html">Training with PyTorch</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../../getting-started-movielens/04-Triton-Inference-with-HugeCTR.html">Serving the HugeCTR Model with Triton</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../../getting-started-movielens/04-Triton-Inference-with-TF.html">Serve Recommendations from the TensorFlow Model</a></li>
 
 </ul>
@@ -206,7 +205,6 @@
 <li class="toctree-l3"><a class="reference internal" href="../../scaling-criteo/02-ETL-with-NVTabular.html">Feature Engineering with NVTabular</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../../scaling-criteo/03-Training-with-HugeCTR.html">Training with HugeCTR</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../../scaling-criteo/03-Training-with-Merlin-Models-TensorFlow.html">Training with Merlin Models and TensorFlow</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../../scaling-criteo/04-Triton-Inference-with-HugeCTR.html">Deploy the HugeCTR Model with Triton</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../../scaling-criteo/04-Triton-Inference-with-Merlin-Models-TensorFlow.html">Deploy the TensorFlow Model with Triton</a></li>
 </ul>
 </li>
diff --git a/stable/examples/Next-Item-Prediction-with-Transformers/tf/transformers-next-item-prediction.html b/stable/examples/Next-Item-Prediction-with-Transformers/tf/transformers-next-item-prediction.html
index 92f67cfa7..69d814f34 100644
--- a/stable/examples/Next-Item-Prediction-with-Transformers/tf/transformers-next-item-prediction.html
+++ b/stable/examples/Next-Item-Prediction-with-Transformers/tf/transformers-next-item-prediction.html
@@ -187,7 +187,6 @@
 
 
 <li class="toctree-l3"><a class="reference internal" href="../../getting-started-movielens/03-Training-with-PyTorch.html">Training with PyTorch</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../../getting-started-movielens/04-Triton-Inference-with-HugeCTR.html">Serving the HugeCTR Model with Triton</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../../getting-started-movielens/04-Triton-Inference-with-TF.html">Serve Recommendations from the TensorFlow Model</a></li>
 
 </ul>
@@ -206,7 +205,6 @@
 <li class="toctree-l3"><a class="reference internal" href="../../scaling-criteo/02-ETL-with-NVTabular.html">Feature Engineering with NVTabular</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../../scaling-criteo/03-Training-with-HugeCTR.html">Training with HugeCTR</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../../scaling-criteo/03-Training-with-Merlin-Models-TensorFlow.html">Training with Merlin Models and TensorFlow</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../../scaling-criteo/04-Triton-Inference-with-HugeCTR.html">Deploy the HugeCTR Model with Triton</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../../scaling-criteo/04-Triton-Inference-with-Merlin-Models-TensorFlow.html">Deploy the TensorFlow Model with Triton</a></li>
 </ul>
 </li>
diff --git a/stable/examples/getting-started-movielens/01-Download-Convert.html b/stable/examples/getting-started-movielens/01-Download-Convert.html
index d21849a8c..9aaefca5d 100644
--- a/stable/examples/getting-started-movielens/01-Download-Convert.html
+++ b/stable/examples/getting-started-movielens/01-Download-Convert.html
@@ -189,7 +189,6 @@
 
 
 <li class="toctree-l3"><a class="reference internal" href="03-Training-with-PyTorch.html">Training with PyTorch</a></li>
-<li class="toctree-l3"><a class="reference internal" href="04-Triton-Inference-with-HugeCTR.html">Serving the HugeCTR Model with Triton</a></li>
 <li class="toctree-l3"><a class="reference internal" href="04-Triton-Inference-with-TF.html">Serve Recommendations from the TensorFlow Model</a></li>
 
 </ul>
@@ -208,7 +207,6 @@
 <li class="toctree-l3"><a class="reference internal" href="../scaling-criteo/02-ETL-with-NVTabular.html">Feature Engineering with NVTabular</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../scaling-criteo/03-Training-with-HugeCTR.html">Training with HugeCTR</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../scaling-criteo/03-Training-with-Merlin-Models-TensorFlow.html">Training with Merlin Models and TensorFlow</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../scaling-criteo/04-Triton-Inference-with-HugeCTR.html">Deploy the HugeCTR Model with Triton</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../scaling-criteo/04-Triton-Inference-with-Merlin-Models-TensorFlow.html">Deploy the TensorFlow Model with Triton</a></li>
 </ul>
 </li>
diff --git a/stable/examples/getting-started-movielens/02-ETL-with-NVTabular.html b/stable/examples/getting-started-movielens/02-ETL-with-NVTabular.html
index 99d6a0387..28cbe23df 100644
--- a/stable/examples/getting-started-movielens/02-ETL-with-NVTabular.html
+++ b/stable/examples/getting-started-movielens/02-ETL-with-NVTabular.html
@@ -189,7 +189,6 @@
 
 
 <li class="toctree-l3"><a class="reference internal" href="03-Training-with-PyTorch.html">Training with PyTorch</a></li>
-<li class="toctree-l3"><a class="reference internal" href="04-Triton-Inference-with-HugeCTR.html">Serving the HugeCTR Model with Triton</a></li>
 <li class="toctree-l3"><a class="reference internal" href="04-Triton-Inference-with-TF.html">Serve Recommendations from the TensorFlow Model</a></li>
 
 </ul>
@@ -208,7 +207,6 @@
 <li class="toctree-l3"><a class="reference internal" href="../scaling-criteo/02-ETL-with-NVTabular.html">Feature Engineering with NVTabular</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../scaling-criteo/03-Training-with-HugeCTR.html">Training with HugeCTR</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../scaling-criteo/03-Training-with-Merlin-Models-TensorFlow.html">Training with Merlin Models and TensorFlow</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../scaling-criteo/04-Triton-Inference-with-HugeCTR.html">Deploy the HugeCTR Model with Triton</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../scaling-criteo/04-Triton-Inference-with-Merlin-Models-TensorFlow.html">Deploy the TensorFlow Model with Triton</a></li>
 </ul>
 </li>
diff --git a/stable/examples/getting-started-movielens/03-Training-with-HugeCTR.html b/stable/examples/getting-started-movielens/03-Training-with-HugeCTR.html
index fcfe3e8e0..371a676b3 100644
--- a/stable/examples/getting-started-movielens/03-Training-with-HugeCTR.html
+++ b/stable/examples/getting-started-movielens/03-Training-with-HugeCTR.html
@@ -189,7 +189,6 @@
 
 
 <li class="toctree-l3"><a class="reference internal" href="03-Training-with-PyTorch.html">Training with PyTorch</a></li>
-<li class="toctree-l3"><a class="reference internal" href="04-Triton-Inference-with-HugeCTR.html">Serving the HugeCTR Model with Triton</a></li>
 <li class="toctree-l3"><a class="reference internal" href="04-Triton-Inference-with-TF.html">Serve Recommendations from the TensorFlow Model</a></li>
 
 </ul>
@@ -208,7 +207,6 @@
 <li class="toctree-l3"><a class="reference internal" href="../scaling-criteo/02-ETL-with-NVTabular.html">Feature Engineering with NVTabular</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../scaling-criteo/03-Training-with-HugeCTR.html">Training with HugeCTR</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../scaling-criteo/03-Training-with-Merlin-Models-TensorFlow.html">Training with Merlin Models and TensorFlow</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../scaling-criteo/04-Triton-Inference-with-HugeCTR.html">Deploy the HugeCTR Model with Triton</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../scaling-criteo/04-Triton-Inference-with-Merlin-Models-TensorFlow.html">Deploy the TensorFlow Model with Triton</a></li>
 </ul>
 </li>
diff --git a/stable/examples/getting-started-movielens/03-Training-with-PyTorch.html b/stable/examples/getting-started-movielens/03-Training-with-PyTorch.html
index f42eea0d0..25e5ad9e8 100644
--- a/stable/examples/getting-started-movielens/03-Training-with-PyTorch.html
+++ b/stable/examples/getting-started-movielens/03-Training-with-PyTorch.html
@@ -53,7 +53,7 @@
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     <link rel="index" title="Index" href="../../genindex.html" />
     <link rel="search" title="Search" href="../../search.html" />
-    <link rel="next" title="Serve Recommendations from the HugeCTR Model" href="04-Triton-Inference-with-HugeCTR.html" />
+    <link rel="next" title="Serve Recommendations from the TensorFlow Model" href="04-Triton-Inference-with-TF.html" />
     <link rel="prev" title="Getting Started MovieLens: Training with TensorFlow" href="03-Training-with-TF.html" />
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   <script async src="https://www.googletagmanager.com/gtag/js?id=G-NVJ1Y1YJHK"></script>
@@ -189,7 +189,6 @@
 
 
 <li class="toctree-l3 current active"><a class="current reference internal" href="#">Training with PyTorch</a></li>
-<li class="toctree-l3"><a class="reference internal" href="04-Triton-Inference-with-HugeCTR.html">Serving the HugeCTR Model with Triton</a></li>
 <li class="toctree-l3"><a class="reference internal" href="04-Triton-Inference-with-TF.html">Serve Recommendations from the TensorFlow Model</a></li>
 
 </ul>
@@ -208,7 +207,6 @@
 <li class="toctree-l3"><a class="reference internal" href="../scaling-criteo/02-ETL-with-NVTabular.html">Feature Engineering with NVTabular</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../scaling-criteo/03-Training-with-HugeCTR.html">Training with HugeCTR</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../scaling-criteo/03-Training-with-Merlin-Models-TensorFlow.html">Training with Merlin Models and TensorFlow</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../scaling-criteo/04-Triton-Inference-with-HugeCTR.html">Deploy the HugeCTR Model with Triton</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../scaling-criteo/04-Triton-Inference-with-Merlin-Models-TensorFlow.html">Deploy the TensorFlow Model with Triton</a></li>
 </ul>
 </li>
@@ -783,11 +781,11 @@ <h3>Defining Neural Network Architecture<a class="headerlink" href="#defining-ne
       </div>
     </a>
     <a class="right-next"
-       href="04-Triton-Inference-with-HugeCTR.html"
+       href="04-Triton-Inference-with-TF.html"
        title="next page">
       <div class="prev-next-info">
         <p class="prev-next-subtitle">next</p>
-        <p class="prev-next-title">Serve Recommendations from the HugeCTR Model</p>
+        <p class="prev-next-title">Serve Recommendations from the TensorFlow Model</p>
       </div>
       <i class="fa-solid fa-angle-right"></i>
     </a>
diff --git a/stable/examples/getting-started-movielens/03-Training-with-TF.html b/stable/examples/getting-started-movielens/03-Training-with-TF.html
index 34080c7e0..5958e1007 100644
--- a/stable/examples/getting-started-movielens/03-Training-with-TF.html
+++ b/stable/examples/getting-started-movielens/03-Training-with-TF.html
@@ -189,7 +189,6 @@
 
 
 <li class="toctree-l3"><a class="reference internal" href="03-Training-with-PyTorch.html">Training with PyTorch</a></li>
-<li class="toctree-l3"><a class="reference internal" href="04-Triton-Inference-with-HugeCTR.html">Serving the HugeCTR Model with Triton</a></li>
 <li class="toctree-l3"><a class="reference internal" href="04-Triton-Inference-with-TF.html">Serve Recommendations from the TensorFlow Model</a></li>
 
 </ul>
@@ -208,7 +207,6 @@
 <li class="toctree-l3"><a class="reference internal" href="../scaling-criteo/02-ETL-with-NVTabular.html">Feature Engineering with NVTabular</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../scaling-criteo/03-Training-with-HugeCTR.html">Training with HugeCTR</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../scaling-criteo/03-Training-with-Merlin-Models-TensorFlow.html">Training with Merlin Models and TensorFlow</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../scaling-criteo/04-Triton-Inference-with-HugeCTR.html">Deploy the HugeCTR Model with Triton</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../scaling-criteo/04-Triton-Inference-with-Merlin-Models-TensorFlow.html">Deploy the TensorFlow Model with Triton</a></li>
 </ul>
 </li>
diff --git a/stable/examples/getting-started-movielens/04-Triton-Inference-with-TF.html b/stable/examples/getting-started-movielens/04-Triton-Inference-with-TF.html
index b1df5d399..030d8447d 100644
--- a/stable/examples/getting-started-movielens/04-Triton-Inference-with-TF.html
+++ b/stable/examples/getting-started-movielens/04-Triton-Inference-with-TF.html
@@ -54,7 +54,7 @@
     <link rel="index" title="Index" href="../../genindex.html" />
     <link rel="search" title="Search" href="../../search.html" />
     <link rel="next" title="Deploying a Multi-Stage Recommender System" href="../Building-and-deploying-multi-stage-RecSys/index.html" />
-    <link rel="prev" title="Serve Recommendations from the HugeCTR Model" href="04-Triton-Inference-with-HugeCTR.html" />
+    <link rel="prev" title="Getting Started MovieLens: Training with PyTorch" href="03-Training-with-PyTorch.html" />
   <!-- Google Analytics -->
   <script async src="https://www.googletagmanager.com/gtag/js?id=G-NVJ1Y1YJHK"></script>
   <script>
@@ -189,7 +189,6 @@
 
 
 <li class="toctree-l3"><a class="reference internal" href="03-Training-with-PyTorch.html">Training with PyTorch</a></li>
-<li class="toctree-l3"><a class="reference internal" href="04-Triton-Inference-with-HugeCTR.html">Serving the HugeCTR Model with Triton</a></li>
 <li class="toctree-l3 current active"><a class="current reference internal" href="#">Serve Recommendations from the TensorFlow Model</a></li>
 
 </ul>
@@ -208,7 +207,6 @@
 <li class="toctree-l3"><a class="reference internal" href="../scaling-criteo/02-ETL-with-NVTabular.html">Feature Engineering with NVTabular</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../scaling-criteo/03-Training-with-HugeCTR.html">Training with HugeCTR</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../scaling-criteo/03-Training-with-Merlin-Models-TensorFlow.html">Training with Merlin Models and TensorFlow</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../scaling-criteo/04-Triton-Inference-with-HugeCTR.html">Deploy the HugeCTR Model with Triton</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../scaling-criteo/04-Triton-Inference-with-Merlin-Models-TensorFlow.html">Deploy the TensorFlow Model with Triton</a></li>
 </ul>
 </li>
@@ -684,12 +682,12 @@ <h1>Predicting<a class="headerlink" href="#predicting" title="Permalink to this
                   
 <div class="prev-next-area">
     <a class="left-prev"
-       href="04-Triton-Inference-with-HugeCTR.html"
+       href="03-Training-with-PyTorch.html"
        title="previous page">
       <i class="fa-solid fa-angle-left"></i>
       <div class="prev-next-info">
         <p class="prev-next-subtitle">previous</p>
-        <p class="prev-next-title">Serve Recommendations from the HugeCTR Model</p>
+        <p class="prev-next-title">Getting Started MovieLens: Training with PyTorch</p>
       </div>
     </a>
     <a class="right-next"
diff --git a/stable/examples/getting-started-movielens/index.html b/stable/examples/getting-started-movielens/index.html
index 2b343baea..3e1205b64 100644
--- a/stable/examples/getting-started-movielens/index.html
+++ b/stable/examples/getting-started-movielens/index.html
@@ -189,7 +189,6 @@
 
 
 <li class="toctree-l3"><a class="reference internal" href="03-Training-with-PyTorch.html">Training with PyTorch</a></li>
-<li class="toctree-l3"><a class="reference internal" href="04-Triton-Inference-with-HugeCTR.html">Serving the HugeCTR Model with Triton</a></li>
 <li class="toctree-l3"><a class="reference internal" href="04-Triton-Inference-with-TF.html">Serve Recommendations from the TensorFlow Model</a></li>
 
 </ul>
@@ -208,7 +207,6 @@
 <li class="toctree-l3"><a class="reference internal" href="../scaling-criteo/02-ETL-with-NVTabular.html">Feature Engineering with NVTabular</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../scaling-criteo/03-Training-with-HugeCTR.html">Training with HugeCTR</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../scaling-criteo/03-Training-with-Merlin-Models-TensorFlow.html">Training with Merlin Models and TensorFlow</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../scaling-criteo/04-Triton-Inference-with-HugeCTR.html">Deploy the HugeCTR Model with Triton</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../scaling-criteo/04-Triton-Inference-with-Merlin-Models-TensorFlow.html">Deploy the TensorFlow Model with Triton</a></li>
 </ul>
 </li>
@@ -436,7 +434,6 @@ <h1>Getting Started with Merlin and the MovieLens Dataset<a class="headerlink" h
 <li><p>Use the Merlin Dataloader with PyTorch.</p></li>
 <li><p>Train a HugeCTR model.</p></li>
 <li><p>Serve recommendations from the Tensorflow model with the Triton Inference Server.</p></li>
-<li><p>Serve recommendations from the HugeCTR model with the Triton Inference Server.</p></li>
 </ul>
 <p>Explore the following notebooks:</p>
 <ul class="simple">
@@ -446,7 +443,6 @@ <h1>Getting Started with Merlin and the MovieLens Dataset<a class="headerlink" h
 <li><p><a class="reference internal" href="03-Training-with-PyTorch.html"><span class="std std-doc">Training with PyTorch</span></a></p></li>
 <li><p><a class="reference internal" href="03-Training-with-HugeCTR.html"><span class="std std-doc">Training with HugeCTR</span></a></p></li>
 <li><p><a class="reference internal" href="04-Triton-Inference-with-TF.html"><span class="std std-doc">Serve Recommendations with Triton Inference Server (Tensorflow)</span></a></p></li>
-<li><p><a class="reference internal" href="04-Triton-Inference-with-HugeCTR.html"><span class="std std-doc">Serve Recommendations with Triton Inference Server (HugeCTR)</span></a></p></li>
 </ul>
 <div class="toctree-wrapper compound">
 </div>
diff --git a/stable/examples/index.html b/stable/examples/index.html
index 174c2d411..93f1ef82e 100644
--- a/stable/examples/index.html
+++ b/stable/examples/index.html
@@ -189,7 +189,6 @@
 
 
 <li class="toctree-l3"><a class="reference internal" href="getting-started-movielens/03-Training-with-PyTorch.html">Training with PyTorch</a></li>
-<li class="toctree-l3"><a class="reference internal" href="getting-started-movielens/04-Triton-Inference-with-HugeCTR.html">Serving the HugeCTR Model with Triton</a></li>
 <li class="toctree-l3"><a class="reference internal" href="getting-started-movielens/04-Triton-Inference-with-TF.html">Serve Recommendations from the TensorFlow Model</a></li>
 
 </ul>
@@ -208,7 +207,6 @@
 <li class="toctree-l3"><a class="reference internal" href="scaling-criteo/02-ETL-with-NVTabular.html">Feature Engineering with NVTabular</a></li>
 <li class="toctree-l3"><a class="reference internal" href="scaling-criteo/03-Training-with-HugeCTR.html">Training with HugeCTR</a></li>
 <li class="toctree-l3"><a class="reference internal" href="scaling-criteo/03-Training-with-Merlin-Models-TensorFlow.html">Training with Merlin Models and TensorFlow</a></li>
-<li class="toctree-l3"><a class="reference internal" href="scaling-criteo/04-Triton-Inference-with-HugeCTR.html">Deploy the HugeCTR Model with Triton</a></li>
 <li class="toctree-l3"><a class="reference internal" href="scaling-criteo/04-Triton-Inference-with-Merlin-Models-TensorFlow.html">Deploy the TensorFlow Model with Triton</a></li>
 </ul>
 </li>
@@ -481,7 +479,7 @@ <h3><a class="reference internal" href="#./scaling-criteo"><span class="xref mys
 <li><p>Use multiple GPUs and nodes with NVTabular for feature engineering.</p></li>
 <li><p>Train recommender system models with the Merlin Models for TensorFlow.</p></li>
 <li><p>Train recommender system models with HugeCTR using multiple GPUs.</p></li>
-<li><p>Inference with the Triton Inference Server and Merlin Models for TensorFlow or HugeCTR.</p></li>
+<li><p>Inference with the Triton Inference Server and Merlin Models for TensorFlow.</p></li>
 </ul>
 </section>
 <section id="training-and-serving-with-merlin-on-aws-sagemaker">
diff --git a/stable/examples/quick_start/index.html b/stable/examples/quick_start/index.html
index 8c794b257..6cd90f56b 100644
--- a/stable/examples/quick_start/index.html
+++ b/stable/examples/quick_start/index.html
@@ -187,7 +187,6 @@
 
 
 <li class="toctree-l3"><a class="reference internal" href="../getting-started-movielens/03-Training-with-PyTorch.html">Training with PyTorch</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../getting-started-movielens/04-Triton-Inference-with-HugeCTR.html">Serving the HugeCTR Model with Triton</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../getting-started-movielens/04-Triton-Inference-with-TF.html">Serve Recommendations from the TensorFlow Model</a></li>
 
 </ul>
@@ -206,7 +205,6 @@
 <li class="toctree-l3"><a class="reference internal" href="../scaling-criteo/02-ETL-with-NVTabular.html">Feature Engineering with NVTabular</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../scaling-criteo/03-Training-with-HugeCTR.html">Training with HugeCTR</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../scaling-criteo/03-Training-with-Merlin-Models-TensorFlow.html">Training with Merlin Models and TensorFlow</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../scaling-criteo/04-Triton-Inference-with-HugeCTR.html">Deploy the HugeCTR Model with Triton</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../scaling-criteo/04-Triton-Inference-with-Merlin-Models-TensorFlow.html">Deploy the TensorFlow Model with Triton</a></li>
 </ul>
 </li>
diff --git a/stable/examples/quick_start/ranking.html b/stable/examples/quick_start/ranking.html
index f17ad8851..9865981da 100644
--- a/stable/examples/quick_start/ranking.html
+++ b/stable/examples/quick_start/ranking.html
@@ -187,7 +187,6 @@
 
 
 <li class="toctree-l3"><a class="reference internal" href="../getting-started-movielens/03-Training-with-PyTorch.html">Training with PyTorch</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../getting-started-movielens/04-Triton-Inference-with-HugeCTR.html">Serving the HugeCTR Model with Triton</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../getting-started-movielens/04-Triton-Inference-with-TF.html">Serve Recommendations from the TensorFlow Model</a></li>
 
 </ul>
@@ -206,7 +205,6 @@
 <li class="toctree-l3"><a class="reference internal" href="../scaling-criteo/02-ETL-with-NVTabular.html">Feature Engineering with NVTabular</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../scaling-criteo/03-Training-with-HugeCTR.html">Training with HugeCTR</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../scaling-criteo/03-Training-with-Merlin-Models-TensorFlow.html">Training with Merlin Models and TensorFlow</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../scaling-criteo/04-Triton-Inference-with-HugeCTR.html">Deploy the HugeCTR Model with Triton</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../scaling-criteo/04-Triton-Inference-with-Merlin-Models-TensorFlow.html">Deploy the TensorFlow Model with Triton</a></li>
 </ul>
 </li>
diff --git a/stable/examples/quick_start/scripts/inference/index.html b/stable/examples/quick_start/scripts/inference/index.html
index 29d115905..216135cb1 100644
--- a/stable/examples/quick_start/scripts/inference/index.html
+++ b/stable/examples/quick_start/scripts/inference/index.html
@@ -187,7 +187,6 @@
 
 
 <li class="toctree-l3"><a class="reference internal" href="../../../getting-started-movielens/03-Training-with-PyTorch.html">Training with PyTorch</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../../../getting-started-movielens/04-Triton-Inference-with-HugeCTR.html">Serving the HugeCTR Model with Triton</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../../../getting-started-movielens/04-Triton-Inference-with-TF.html">Serve Recommendations from the TensorFlow Model</a></li>
 
 </ul>
@@ -206,7 +205,6 @@
 <li class="toctree-l3"><a class="reference internal" href="../../../scaling-criteo/02-ETL-with-NVTabular.html">Feature Engineering with NVTabular</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../../../scaling-criteo/03-Training-with-HugeCTR.html">Training with HugeCTR</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../../../scaling-criteo/03-Training-with-Merlin-Models-TensorFlow.html">Training with Merlin Models and TensorFlow</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../../../scaling-criteo/04-Triton-Inference-with-HugeCTR.html">Deploy the HugeCTR Model with Triton</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../../../scaling-criteo/04-Triton-Inference-with-Merlin-Models-TensorFlow.html">Deploy the TensorFlow Model with Triton</a></li>
 </ul>
 </li>
diff --git a/stable/examples/quick_start/scripts/inference/inference.html b/stable/examples/quick_start/scripts/inference/inference.html
index 41f9c542d..2da33a81b 100644
--- a/stable/examples/quick_start/scripts/inference/inference.html
+++ b/stable/examples/quick_start/scripts/inference/inference.html
@@ -187,7 +187,6 @@
 
 
 <li class="toctree-l3"><a class="reference internal" href="../../../getting-started-movielens/03-Training-with-PyTorch.html">Training with PyTorch</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../../../getting-started-movielens/04-Triton-Inference-with-HugeCTR.html">Serving the HugeCTR Model with Triton</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../../../getting-started-movielens/04-Triton-Inference-with-TF.html">Serve Recommendations from the TensorFlow Model</a></li>
 
 </ul>
@@ -206,7 +205,6 @@
 <li class="toctree-l3"><a class="reference internal" href="../../../scaling-criteo/02-ETL-with-NVTabular.html">Feature Engineering with NVTabular</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../../../scaling-criteo/03-Training-with-HugeCTR.html">Training with HugeCTR</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../../../scaling-criteo/03-Training-with-Merlin-Models-TensorFlow.html">Training with Merlin Models and TensorFlow</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../../../scaling-criteo/04-Triton-Inference-with-HugeCTR.html">Deploy the HugeCTR Model with Triton</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../../../scaling-criteo/04-Triton-Inference-with-Merlin-Models-TensorFlow.html">Deploy the TensorFlow Model with Triton</a></li>
 </ul>
 </li>
diff --git a/stable/examples/quick_start/scripts/preproc/index.html b/stable/examples/quick_start/scripts/preproc/index.html
index 6d626552c..68795a272 100644
--- a/stable/examples/quick_start/scripts/preproc/index.html
+++ b/stable/examples/quick_start/scripts/preproc/index.html
@@ -187,7 +187,6 @@
 
 
 <li class="toctree-l3"><a class="reference internal" href="../../../getting-started-movielens/03-Training-with-PyTorch.html">Training with PyTorch</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../../../getting-started-movielens/04-Triton-Inference-with-HugeCTR.html">Serving the HugeCTR Model with Triton</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../../../getting-started-movielens/04-Triton-Inference-with-TF.html">Serve Recommendations from the TensorFlow Model</a></li>
 
 </ul>
@@ -206,7 +205,6 @@
 <li class="toctree-l3"><a class="reference internal" href="../../../scaling-criteo/02-ETL-with-NVTabular.html">Feature Engineering with NVTabular</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../../../scaling-criteo/03-Training-with-HugeCTR.html">Training with HugeCTR</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../../../scaling-criteo/03-Training-with-Merlin-Models-TensorFlow.html">Training with Merlin Models and TensorFlow</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../../../scaling-criteo/04-Triton-Inference-with-HugeCTR.html">Deploy the HugeCTR Model with Triton</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../../../scaling-criteo/04-Triton-Inference-with-Merlin-Models-TensorFlow.html">Deploy the TensorFlow Model with Triton</a></li>
 </ul>
 </li>
diff --git a/stable/examples/quick_start/scripts/ranking/hypertuning/index.html b/stable/examples/quick_start/scripts/ranking/hypertuning/index.html
index af25f177b..a1c954211 100644
--- a/stable/examples/quick_start/scripts/ranking/hypertuning/index.html
+++ b/stable/examples/quick_start/scripts/ranking/hypertuning/index.html
@@ -187,7 +187,6 @@
 
 
 <li class="toctree-l3"><a class="reference internal" href="../../../../getting-started-movielens/03-Training-with-PyTorch.html">Training with PyTorch</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../../../../getting-started-movielens/04-Triton-Inference-with-HugeCTR.html">Serving the HugeCTR Model with Triton</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../../../../getting-started-movielens/04-Triton-Inference-with-TF.html">Serve Recommendations from the TensorFlow Model</a></li>
 
 </ul>
@@ -206,7 +205,6 @@
 <li class="toctree-l3"><a class="reference internal" href="../../../../scaling-criteo/02-ETL-with-NVTabular.html">Feature Engineering with NVTabular</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../../../../scaling-criteo/03-Training-with-HugeCTR.html">Training with HugeCTR</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../../../../scaling-criteo/03-Training-with-Merlin-Models-TensorFlow.html">Training with Merlin Models and TensorFlow</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../../../../scaling-criteo/04-Triton-Inference-with-HugeCTR.html">Deploy the HugeCTR Model with Triton</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../../../../scaling-criteo/04-Triton-Inference-with-Merlin-Models-TensorFlow.html">Deploy the TensorFlow Model with Triton</a></li>
 </ul>
 </li>
diff --git a/stable/examples/quick_start/scripts/ranking/hypertuning/tutorial_with_wb_sweeps.html b/stable/examples/quick_start/scripts/ranking/hypertuning/tutorial_with_wb_sweeps.html
index 4a41e0638..7bd00df53 100644
--- a/stable/examples/quick_start/scripts/ranking/hypertuning/tutorial_with_wb_sweeps.html
+++ b/stable/examples/quick_start/scripts/ranking/hypertuning/tutorial_with_wb_sweeps.html
@@ -187,7 +187,6 @@
 
 
 <li class="toctree-l3"><a class="reference internal" href="../../../../getting-started-movielens/03-Training-with-PyTorch.html">Training with PyTorch</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../../../../getting-started-movielens/04-Triton-Inference-with-HugeCTR.html">Serving the HugeCTR Model with Triton</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../../../../getting-started-movielens/04-Triton-Inference-with-TF.html">Serve Recommendations from the TensorFlow Model</a></li>
 
 </ul>
@@ -206,7 +205,6 @@
 <li class="toctree-l3"><a class="reference internal" href="../../../../scaling-criteo/02-ETL-with-NVTabular.html">Feature Engineering with NVTabular</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../../../../scaling-criteo/03-Training-with-HugeCTR.html">Training with HugeCTR</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../../../../scaling-criteo/03-Training-with-Merlin-Models-TensorFlow.html">Training with Merlin Models and TensorFlow</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../../../../scaling-criteo/04-Triton-Inference-with-HugeCTR.html">Deploy the HugeCTR Model with Triton</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../../../../scaling-criteo/04-Triton-Inference-with-Merlin-Models-TensorFlow.html">Deploy the TensorFlow Model with Triton</a></li>
 </ul>
 </li>
diff --git a/stable/examples/quick_start/scripts/ranking/index.html b/stable/examples/quick_start/scripts/ranking/index.html
index ab9bef53f..ae4987a02 100644
--- a/stable/examples/quick_start/scripts/ranking/index.html
+++ b/stable/examples/quick_start/scripts/ranking/index.html
@@ -187,7 +187,6 @@
 
 
 <li class="toctree-l3"><a class="reference internal" href="../../../getting-started-movielens/03-Training-with-PyTorch.html">Training with PyTorch</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../../../getting-started-movielens/04-Triton-Inference-with-HugeCTR.html">Serving the HugeCTR Model with Triton</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../../../getting-started-movielens/04-Triton-Inference-with-TF.html">Serve Recommendations from the TensorFlow Model</a></li>
 
 </ul>
@@ -206,7 +205,6 @@
 <li class="toctree-l3"><a class="reference internal" href="../../../scaling-criteo/02-ETL-with-NVTabular.html">Feature Engineering with NVTabular</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../../../scaling-criteo/03-Training-with-HugeCTR.html">Training with HugeCTR</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../../../scaling-criteo/03-Training-with-Merlin-Models-TensorFlow.html">Training with Merlin Models and TensorFlow</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../../../scaling-criteo/04-Triton-Inference-with-HugeCTR.html">Deploy the HugeCTR Model with Triton</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../../../scaling-criteo/04-Triton-Inference-with-Merlin-Models-TensorFlow.html">Deploy the TensorFlow Model with Triton</a></li>
 </ul>
 </li>
diff --git a/stable/examples/ranking/index.html b/stable/examples/ranking/index.html
index f7a344012..eb085c3df 100644
--- a/stable/examples/ranking/index.html
+++ b/stable/examples/ranking/index.html
@@ -187,7 +187,6 @@
 
 
 <li class="toctree-l3"><a class="reference internal" href="../getting-started-movielens/03-Training-with-PyTorch.html">Training with PyTorch</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../getting-started-movielens/04-Triton-Inference-with-HugeCTR.html">Serving the HugeCTR Model with Triton</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../getting-started-movielens/04-Triton-Inference-with-TF.html">Serve Recommendations from the TensorFlow Model</a></li>
 
 </ul>
@@ -206,7 +205,6 @@
 <li class="toctree-l3"><a class="reference internal" href="../scaling-criteo/02-ETL-with-NVTabular.html">Feature Engineering with NVTabular</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../scaling-criteo/03-Training-with-HugeCTR.html">Training with HugeCTR</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../scaling-criteo/03-Training-with-Merlin-Models-TensorFlow.html">Training with Merlin Models and TensorFlow</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../scaling-criteo/04-Triton-Inference-with-HugeCTR.html">Deploy the HugeCTR Model with Triton</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../scaling-criteo/04-Triton-Inference-with-Merlin-Models-TensorFlow.html">Deploy the TensorFlow Model with Triton</a></li>
 </ul>
 </li>
diff --git a/stable/examples/ranking/tf/Training-and-Deploying-DLRM-model-with-Models-and-Systems.html b/stable/examples/ranking/tf/Training-and-Deploying-DLRM-model-with-Models-and-Systems.html
index 344be5a8b..d0745a55f 100644
--- a/stable/examples/ranking/tf/Training-and-Deploying-DLRM-model-with-Models-and-Systems.html
+++ b/stable/examples/ranking/tf/Training-and-Deploying-DLRM-model-with-Models-and-Systems.html
@@ -187,7 +187,6 @@
 
 
 <li class="toctree-l3"><a class="reference internal" href="../../getting-started-movielens/03-Training-with-PyTorch.html">Training with PyTorch</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../../getting-started-movielens/04-Triton-Inference-with-HugeCTR.html">Serving the HugeCTR Model with Triton</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../../getting-started-movielens/04-Triton-Inference-with-TF.html">Serve Recommendations from the TensorFlow Model</a></li>
 
 </ul>
@@ -206,7 +205,6 @@
 <li class="toctree-l3"><a class="reference internal" href="../../scaling-criteo/02-ETL-with-NVTabular.html">Feature Engineering with NVTabular</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../../scaling-criteo/03-Training-with-HugeCTR.html">Training with HugeCTR</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../../scaling-criteo/03-Training-with-Merlin-Models-TensorFlow.html">Training with Merlin Models and TensorFlow</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../../scaling-criteo/04-Triton-Inference-with-HugeCTR.html">Deploy the HugeCTR Model with Triton</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../../scaling-criteo/04-Triton-Inference-with-Merlin-Models-TensorFlow.html">Deploy the TensorFlow Model with Triton</a></li>
 </ul>
 </li>
diff --git a/stable/examples/sagemaker-tensorflow/index.html b/stable/examples/sagemaker-tensorflow/index.html
index 090f98182..24b8167de 100644
--- a/stable/examples/sagemaker-tensorflow/index.html
+++ b/stable/examples/sagemaker-tensorflow/index.html
@@ -189,7 +189,6 @@
 
 
 <li class="toctree-l3"><a class="reference internal" href="../getting-started-movielens/03-Training-with-PyTorch.html">Training with PyTorch</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../getting-started-movielens/04-Triton-Inference-with-HugeCTR.html">Serving the HugeCTR Model with Triton</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../getting-started-movielens/04-Triton-Inference-with-TF.html">Serve Recommendations from the TensorFlow Model</a></li>
 
 </ul>
@@ -208,7 +207,6 @@
 <li class="toctree-l3"><a class="reference internal" href="../scaling-criteo/02-ETL-with-NVTabular.html">Feature Engineering with NVTabular</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../scaling-criteo/03-Training-with-HugeCTR.html">Training with HugeCTR</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../scaling-criteo/03-Training-with-Merlin-Models-TensorFlow.html">Training with Merlin Models and TensorFlow</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../scaling-criteo/04-Triton-Inference-with-HugeCTR.html">Deploy the HugeCTR Model with Triton</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../scaling-criteo/04-Triton-Inference-with-Merlin-Models-TensorFlow.html">Deploy the TensorFlow Model with Triton</a></li>
 </ul>
 </li>
diff --git a/stable/examples/sagemaker-tensorflow/sagemaker-merlin-tensorflow.html b/stable/examples/sagemaker-tensorflow/sagemaker-merlin-tensorflow.html
index 7efe08c80..003bb4dfc 100644
--- a/stable/examples/sagemaker-tensorflow/sagemaker-merlin-tensorflow.html
+++ b/stable/examples/sagemaker-tensorflow/sagemaker-merlin-tensorflow.html
@@ -189,7 +189,6 @@
 
 
 <li class="toctree-l3"><a class="reference internal" href="../getting-started-movielens/03-Training-with-PyTorch.html">Training with PyTorch</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../getting-started-movielens/04-Triton-Inference-with-HugeCTR.html">Serving the HugeCTR Model with Triton</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../getting-started-movielens/04-Triton-Inference-with-TF.html">Serve Recommendations from the TensorFlow Model</a></li>
 
 </ul>
@@ -208,7 +207,6 @@
 <li class="toctree-l3"><a class="reference internal" href="../scaling-criteo/02-ETL-with-NVTabular.html">Feature Engineering with NVTabular</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../scaling-criteo/03-Training-with-HugeCTR.html">Training with HugeCTR</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../scaling-criteo/03-Training-with-Merlin-Models-TensorFlow.html">Training with Merlin Models and TensorFlow</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../scaling-criteo/04-Triton-Inference-with-HugeCTR.html">Deploy the HugeCTR Model with Triton</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../scaling-criteo/04-Triton-Inference-with-Merlin-Models-TensorFlow.html">Deploy the TensorFlow Model with Triton</a></li>
 </ul>
 </li>
diff --git a/stable/examples/scaling-criteo/01-Download-Convert.html b/stable/examples/scaling-criteo/01-Download-Convert.html
index 12e1d3f2e..482fa53b9 100644
--- a/stable/examples/scaling-criteo/01-Download-Convert.html
+++ b/stable/examples/scaling-criteo/01-Download-Convert.html
@@ -189,7 +189,6 @@
 
 
 <li class="toctree-l3"><a class="reference internal" href="../getting-started-movielens/03-Training-with-PyTorch.html">Training with PyTorch</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../getting-started-movielens/04-Triton-Inference-with-HugeCTR.html">Serving the HugeCTR Model with Triton</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../getting-started-movielens/04-Triton-Inference-with-TF.html">Serve Recommendations from the TensorFlow Model</a></li>
 
 </ul>
@@ -208,7 +207,6 @@
 <li class="toctree-l3"><a class="reference internal" href="02-ETL-with-NVTabular.html">Feature Engineering with NVTabular</a></li>
 <li class="toctree-l3"><a class="reference internal" href="03-Training-with-HugeCTR.html">Training with HugeCTR</a></li>
 <li class="toctree-l3"><a class="reference internal" href="03-Training-with-Merlin-Models-TensorFlow.html">Training with Merlin Models and TensorFlow</a></li>
-<li class="toctree-l3"><a class="reference internal" href="04-Triton-Inference-with-HugeCTR.html">Deploy the HugeCTR Model with Triton</a></li>
 <li class="toctree-l3"><a class="reference internal" href="04-Triton-Inference-with-Merlin-Models-TensorFlow.html">Deploy the TensorFlow Model with Triton</a></li>
 </ul>
 </li>
diff --git a/stable/examples/scaling-criteo/02-ETL-with-NVTabular.html b/stable/examples/scaling-criteo/02-ETL-with-NVTabular.html
index ff5f27216..7c19029d2 100644
--- a/stable/examples/scaling-criteo/02-ETL-with-NVTabular.html
+++ b/stable/examples/scaling-criteo/02-ETL-with-NVTabular.html
@@ -189,7 +189,6 @@
 
 
 <li class="toctree-l3"><a class="reference internal" href="../getting-started-movielens/03-Training-with-PyTorch.html">Training with PyTorch</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../getting-started-movielens/04-Triton-Inference-with-HugeCTR.html">Serving the HugeCTR Model with Triton</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../getting-started-movielens/04-Triton-Inference-with-TF.html">Serve Recommendations from the TensorFlow Model</a></li>
 
 </ul>
@@ -208,7 +207,6 @@
 <li class="toctree-l3 current active"><a class="current reference internal" href="#">Feature Engineering with NVTabular</a></li>
 <li class="toctree-l3"><a class="reference internal" href="03-Training-with-HugeCTR.html">Training with HugeCTR</a></li>
 <li class="toctree-l3"><a class="reference internal" href="03-Training-with-Merlin-Models-TensorFlow.html">Training with Merlin Models and TensorFlow</a></li>
-<li class="toctree-l3"><a class="reference internal" href="04-Triton-Inference-with-HugeCTR.html">Deploy the HugeCTR Model with Triton</a></li>
 <li class="toctree-l3"><a class="reference internal" href="04-Triton-Inference-with-Merlin-Models-TensorFlow.html">Deploy the TensorFlow Model with Triton</a></li>
 </ul>
 </li>
diff --git a/stable/examples/scaling-criteo/03-Training-with-HugeCTR.html b/stable/examples/scaling-criteo/03-Training-with-HugeCTR.html
index f38cec385..66c38f90a 100644
--- a/stable/examples/scaling-criteo/03-Training-with-HugeCTR.html
+++ b/stable/examples/scaling-criteo/03-Training-with-HugeCTR.html
@@ -189,7 +189,6 @@
 
 
 <li class="toctree-l3"><a class="reference internal" href="../getting-started-movielens/03-Training-with-PyTorch.html">Training with PyTorch</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../getting-started-movielens/04-Triton-Inference-with-HugeCTR.html">Serving the HugeCTR Model with Triton</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../getting-started-movielens/04-Triton-Inference-with-TF.html">Serve Recommendations from the TensorFlow Model</a></li>
 
 </ul>
@@ -208,7 +207,6 @@
 <li class="toctree-l3"><a class="reference internal" href="02-ETL-with-NVTabular.html">Feature Engineering with NVTabular</a></li>
 <li class="toctree-l3 current active"><a class="current reference internal" href="#">Training with HugeCTR</a></li>
 <li class="toctree-l3"><a class="reference internal" href="03-Training-with-Merlin-Models-TensorFlow.html">Training with Merlin Models and TensorFlow</a></li>
-<li class="toctree-l3"><a class="reference internal" href="04-Triton-Inference-with-HugeCTR.html">Deploy the HugeCTR Model with Triton</a></li>
 <li class="toctree-l3"><a class="reference internal" href="04-Triton-Inference-with-Merlin-Models-TensorFlow.html">Deploy the TensorFlow Model with Triton</a></li>
 </ul>
 </li>
diff --git a/stable/examples/scaling-criteo/03-Training-with-Merlin-Models-TensorFlow.html b/stable/examples/scaling-criteo/03-Training-with-Merlin-Models-TensorFlow.html
index 785e49698..0bfd03ca8 100644
--- a/stable/examples/scaling-criteo/03-Training-with-Merlin-Models-TensorFlow.html
+++ b/stable/examples/scaling-criteo/03-Training-with-Merlin-Models-TensorFlow.html
@@ -53,7 +53,7 @@
     <link rel="shortcut icon" href="../../_static/favicon.png"/>
     <link rel="index" title="Index" href="../../genindex.html" />
     <link rel="search" title="Search" href="../../search.html" />
-    <link rel="next" title="Scaling Criteo: Triton Inference with HugeCTR" href="04-Triton-Inference-with-HugeCTR.html" />
+    <link rel="next" title="Scaling Criteo: Triton Inference with Merlin Models TensorFlow" href="04-Triton-Inference-with-Merlin-Models-TensorFlow.html" />
     <link rel="prev" title="Scaling Criteo: Training with HugeCTR" href="03-Training-with-HugeCTR.html" />
   <!-- Google Analytics -->
   <script async src="https://www.googletagmanager.com/gtag/js?id=G-NVJ1Y1YJHK"></script>
@@ -189,7 +189,6 @@
 
 
 <li class="toctree-l3"><a class="reference internal" href="../getting-started-movielens/03-Training-with-PyTorch.html">Training with PyTorch</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../getting-started-movielens/04-Triton-Inference-with-HugeCTR.html">Serving the HugeCTR Model with Triton</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../getting-started-movielens/04-Triton-Inference-with-TF.html">Serve Recommendations from the TensorFlow Model</a></li>
 
 </ul>
@@ -208,7 +207,6 @@
 <li class="toctree-l3"><a class="reference internal" href="02-ETL-with-NVTabular.html">Feature Engineering with NVTabular</a></li>
 <li class="toctree-l3"><a class="reference internal" href="03-Training-with-HugeCTR.html">Training with HugeCTR</a></li>
 <li class="toctree-l3 current active"><a class="current reference internal" href="#">Training with Merlin Models and TensorFlow</a></li>
-<li class="toctree-l3"><a class="reference internal" href="04-Triton-Inference-with-HugeCTR.html">Deploy the HugeCTR Model with Triton</a></li>
 <li class="toctree-l3"><a class="reference internal" href="04-Triton-Inference-with-Merlin-Models-TensorFlow.html">Deploy the TensorFlow Model with Triton</a></li>
 </ul>
 </li>
@@ -683,11 +681,11 @@ <h2>Next steps<a class="headerlink" href="#next-steps" title="Permalink to this
       </div>
     </a>
     <a class="right-next"
-       href="04-Triton-Inference-with-HugeCTR.html"
+       href="04-Triton-Inference-with-Merlin-Models-TensorFlow.html"
        title="next page">
       <div class="prev-next-info">
         <p class="prev-next-subtitle">next</p>
-        <p class="prev-next-title">Scaling Criteo: Triton Inference with HugeCTR</p>
+        <p class="prev-next-title">Scaling Criteo: Triton Inference with Merlin Models TensorFlow</p>
       </div>
       <i class="fa-solid fa-angle-right"></i>
     </a>
diff --git a/stable/examples/scaling-criteo/04-Triton-Inference-with-Merlin-Models-TensorFlow.html b/stable/examples/scaling-criteo/04-Triton-Inference-with-Merlin-Models-TensorFlow.html
index 6c10328da..04bb35b3b 100644
--- a/stable/examples/scaling-criteo/04-Triton-Inference-with-Merlin-Models-TensorFlow.html
+++ b/stable/examples/scaling-criteo/04-Triton-Inference-with-Merlin-Models-TensorFlow.html
@@ -54,7 +54,7 @@
     <link rel="index" title="Index" href="../../genindex.html" />
     <link rel="search" title="Search" href="../../search.html" />
     <link rel="next" title="Merlin Containers" href="../../containers.html" />
-    <link rel="prev" title="Scaling Criteo: Triton Inference with HugeCTR" href="04-Triton-Inference-with-HugeCTR.html" />
+    <link rel="prev" title="Scaling Criteo: Training with Merlin Models TensorFlow" href="03-Training-with-Merlin-Models-TensorFlow.html" />
   <!-- Google Analytics -->
   <script async src="https://www.googletagmanager.com/gtag/js?id=G-NVJ1Y1YJHK"></script>
   <script>
@@ -189,7 +189,6 @@
 
 
 <li class="toctree-l3"><a class="reference internal" href="../getting-started-movielens/03-Training-with-PyTorch.html">Training with PyTorch</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../getting-started-movielens/04-Triton-Inference-with-HugeCTR.html">Serving the HugeCTR Model with Triton</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../getting-started-movielens/04-Triton-Inference-with-TF.html">Serve Recommendations from the TensorFlow Model</a></li>
 
 </ul>
@@ -208,7 +207,6 @@
 <li class="toctree-l3"><a class="reference internal" href="02-ETL-with-NVTabular.html">Feature Engineering with NVTabular</a></li>
 <li class="toctree-l3"><a class="reference internal" href="03-Training-with-HugeCTR.html">Training with HugeCTR</a></li>
 <li class="toctree-l3"><a class="reference internal" href="03-Training-with-Merlin-Models-TensorFlow.html">Training with Merlin Models and TensorFlow</a></li>
-<li class="toctree-l3"><a class="reference internal" href="04-Triton-Inference-with-HugeCTR.html">Deploy the HugeCTR Model with Triton</a></li>
 <li class="toctree-l3 current active"><a class="current reference internal" href="#">Deploy the TensorFlow Model with Triton</a></li>
 </ul>
 </li>
@@ -660,12 +658,12 @@ <h2>Next steps<a class="headerlink" href="#next-steps" title="Permalink to this
                   
 <div class="prev-next-area">
     <a class="left-prev"
-       href="04-Triton-Inference-with-HugeCTR.html"
+       href="03-Training-with-Merlin-Models-TensorFlow.html"
        title="previous page">
       <i class="fa-solid fa-angle-left"></i>
       <div class="prev-next-info">
         <p class="prev-next-subtitle">previous</p>
-        <p class="prev-next-title">Scaling Criteo: Triton Inference with HugeCTR</p>
+        <p class="prev-next-title">Scaling Criteo: Training with Merlin Models TensorFlow</p>
       </div>
     </a>
     <a class="right-next"
diff --git a/stable/examples/scaling-criteo/index.html b/stable/examples/scaling-criteo/index.html
index 2e17b2b51..b791bae5f 100644
--- a/stable/examples/scaling-criteo/index.html
+++ b/stable/examples/scaling-criteo/index.html
@@ -189,7 +189,6 @@
 
 
 <li class="toctree-l3"><a class="reference internal" href="../getting-started-movielens/03-Training-with-PyTorch.html">Training with PyTorch</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../getting-started-movielens/04-Triton-Inference-with-HugeCTR.html">Serving the HugeCTR Model with Triton</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../getting-started-movielens/04-Triton-Inference-with-TF.html">Serve Recommendations from the TensorFlow Model</a></li>
 
 </ul>
@@ -208,7 +207,6 @@
 <li class="toctree-l3"><a class="reference internal" href="02-ETL-with-NVTabular.html">Feature Engineering with NVTabular</a></li>
 <li class="toctree-l3"><a class="reference internal" href="03-Training-with-HugeCTR.html">Training with HugeCTR</a></li>
 <li class="toctree-l3"><a class="reference internal" href="03-Training-with-Merlin-Models-TensorFlow.html">Training with Merlin Models and TensorFlow</a></li>
-<li class="toctree-l3"><a class="reference internal" href="04-Triton-Inference-with-HugeCTR.html">Deploy the HugeCTR Model with Triton</a></li>
 <li class="toctree-l3"><a class="reference internal" href="04-Triton-Inference-with-Merlin-Models-TensorFlow.html">Deploy the TensorFlow Model with Triton</a></li>
 </ul>
 </li>
@@ -432,7 +430,7 @@ <h1>Scaling Large Datasets with Criteo<a class="headerlink" href="#scaling-large
 <li><p>Use multiple GPUs and nodes with NVTabular for feature engineering.</p></li>
 <li><p>Train recommender system models with the Merlin Models for TensorFlow.</p></li>
 <li><p>Train recommender system models with HugeCTR using multiple GPUs.</p></li>
-<li><p>Inference with the Triton Inference Server and Merlin Models for TensorFlow or HugeCTR.</p></li>
+<li><p>Inference with the Triton Inference Server and Merlin Models for TensorFlow.</p></li>
 </ul>
 <p>Our recommendation is to use our latest stable <a class="reference external" href="https://catalog.ngc.nvidia.com/containers?filters=&amp;amp;orderBy=dateModifiedDESC&amp;amp;query=merlin">Merlin containers</a> for the examples. Each notebook provides the required container.</p>
 <p>Explore the following notebooks:</p>
@@ -443,12 +441,11 @@ <h1>Scaling Large Datasets with Criteo<a class="headerlink" href="#scaling-large
 <li><p><a class="reference internal" href="03-Training-with-Merlin-Models-TensorFlow.html"><span class="std std-doc">Training with TensorFlow</span></a></p></li>
 <li><p><a class="reference internal" href="04-Triton-Inference-with-Merlin-Models-TensorFlow.html"><span class="std std-doc">Deploy the TensorFlow Model with Triton Inference Server</span></a></p></li>
 </ul>
-<p>Training and Deployment with <strong>HugeCTR</strong>:</p>
+<p>Training with <strong>HugeCTR</strong>:</p>
 <ul class="simple">
 <li><p><a class="reference internal" href="01-Download-Convert.html"><span class="std std-doc">Download and Convert</span></a></p></li>
 <li><p><a class="reference internal" href="02-ETL-with-NVTabular.html"><span class="std std-doc">Feature Engineering with NVTabular</span></a></p></li>
 <li><p><a class="reference internal" href="03-Training-with-HugeCTR.html"><span class="std std-doc">Training with HugeCTR</span></a></p></li>
-<li><p><a class="reference internal" href="04-Triton-Inference-with-HugeCTR.html"><span class="std std-doc">Deploy the HugeCTR Model with Triton Inference Server</span></a></p></li>
 </ul>
 <div class="toctree-wrapper compound">
 </div>
diff --git a/stable/examples/traditional-ml/Serving-An-Implicit-Model-With-Merlin-Systems.html b/stable/examples/traditional-ml/Serving-An-Implicit-Model-With-Merlin-Systems.html
index d5c074559..b20127e14 100644
--- a/stable/examples/traditional-ml/Serving-An-Implicit-Model-With-Merlin-Systems.html
+++ b/stable/examples/traditional-ml/Serving-An-Implicit-Model-With-Merlin-Systems.html
@@ -187,7 +187,6 @@
 
 
 <li class="toctree-l3"><a class="reference internal" href="../getting-started-movielens/03-Training-with-PyTorch.html">Training with PyTorch</a></li>
-<li class="toctree-l3"><a class="reference internal" href="../getting-started-movielens/04-Triton-Inference-with-HugeCTR.html">Serving the HugeCTR Model with Triton</a></li>
 <li class="toctree-l3"><a class="reference internal" href="../getting-started-movielens/04-Triton-Inference-with-TF.html">Serve Recommendations from the TensorFlow Model</a></li>
 
 </ul>
@@ -206,7 +205,6 @@
 <li class="toctree-l3"><a class="reference internal" href="../scaling-criteo/02-ETL-with-NVTabular.html">Feature Engineering with NVTabular</a></li>
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index b854f6875..37a5a2ac7 100644
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index 16ceb28e0..fde67eeba 100644
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index b91e3ea28..7e4a229ae 100644
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@@ -188,7 +188,6 @@
 
 
 <li class="toctree-l3"><a class="reference internal" href="examples/getting-started-movielens/03-Training-with-PyTorch.html">Training with PyTorch</a></li>
-<li class="toctree-l3"><a class="reference internal" href="examples/getting-started-movielens/04-Triton-Inference-with-HugeCTR.html">Serving the HugeCTR Model with Triton</a></li>
 <li class="toctree-l3"><a class="reference internal" href="examples/getting-started-movielens/04-Triton-Inference-with-TF.html">Serve Recommendations from the TensorFlow Model</a></li>
 
 </ul>
@@ -207,7 +206,6 @@
 <li class="toctree-l3"><a class="reference internal" href="examples/scaling-criteo/02-ETL-with-NVTabular.html">Feature Engineering with NVTabular</a></li>
 <li class="toctree-l3"><a class="reference internal" href="examples/scaling-criteo/03-Training-with-HugeCTR.html">Training with HugeCTR</a></li>
 <li class="toctree-l3"><a class="reference internal" href="examples/scaling-criteo/03-Training-with-Merlin-Models-TensorFlow.html">Training with Merlin Models and TensorFlow</a></li>
-<li class="toctree-l3"><a class="reference internal" href="examples/scaling-criteo/04-Triton-Inference-with-HugeCTR.html">Deploy the HugeCTR Model with Triton</a></li>
 <li class="toctree-l3"><a class="reference internal" href="examples/scaling-criteo/04-Triton-Inference-with-Merlin-Models-TensorFlow.html">Deploy the TensorFlow Model with Triton</a></li>
 </ul>
 </li>
diff --git a/stable/searchindex.js b/stable/searchindex.js
index 6d4ad88d2..7ad9aaea7 100644
--- a/stable/searchindex.js
+++ b/stable/searchindex.js
@@ -1 +1 @@
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25, 27, 29, 32, 40], "gap": 2, "between": [2, 3, 6, 8, 20, 21, 23, 25, 40], "exampl": [2, 3, 5, 6, 7, 8, 9, 10, 11, 12, 13, 16, 17, 18, 19, 20, 21, 22, 23, 25, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 40, 41], "simpl": [2, 7, 10, 23, 25, 40], "readi": [2, 3, 5, 6, 11, 13, 17, 19, 22, 25, 29, 32, 33, 35, 36], "figur": [2, 3, 11, 21, 28, 40], "below": [2, 3, 5, 6, 9, 11, 12, 13, 18, 19, 20, 21, 22, 25, 27, 32, 35, 36], "repres": [2, 3, 5, 8, 10, 18, 20, 23, 25, 29], "four": [2, 5, 21, 28, 29, 31, 36], "than": [2, 5, 6, 10, 17, 20, 21, 23, 27, 29, 30, 40], "singl": [2, 5, 6, 8, 9, 10, 14, 15, 17, 18, 19, 22, 23, 29, 40], "much": [2, 16, 20, 21, 27], "realist": [2, 20], "closer": 2, "": [2, 3, 5, 6, 7, 8, 10, 11, 12, 13, 15, 17, 18, 19, 25, 27, 28, 29, 30, 31, 32, 35, 36, 40], "happen": [2, 23], "In": [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 17, 18, 19, 20, 21, 22, 23, 25, 27, 29, 30, 32, 33, 35, 36, 40, 41], "seri": [2, 3, 19], "we": [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 40, 41], "go": [2, 3, 8, 16, 17, 20, 22, 33, 35, 36], "showcas": [2, 21], "let": [2, 3, 5, 6, 8, 10, 11, 12, 13, 22, 25, 29, 31, 32, 35, 36], "concept": [2, 11, 14, 15, 26, 27], "briefli": 2, "narrow": 2, "down": [2, 8], "million": [2, 17, 20, 23], "thousand": [2, 23], "candid": [2, 3, 23, 33, 40], "relev": [2, 3, 17, 20, 23, 40], "top": [2, 3, 17, 20, 21, 23], "k": [2, 3, 20, 27], "exclud": 2, "alreadi": [2, 3, 6, 8, 17, 18, 20, 22, 23, 25, 27, 28, 29, 36], "interact": [2, 5, 11, 15, 16, 17, 20, 23, 30, 40], "undesir": 2, "appli": [2, 3, 6, 8, 12, 25, 29, 32, 35, 36, 40], "busi": [2, 25], "logic": [2, 25], "rule": [2, 40], "although": [2, 7, 10, 27], "skip": [2, 5, 6, 28, 35], "score": [2, 3, 13, 15, 19, 20, 23, 32, 33, 40], "also": [2, 5, 8, 17, 19, 20, 21, 22, 23, 25, 27], "known": [2, 25], "here": [2, 3, 5, 6, 8, 10, 11, 16, 17, 20, 21, 22, 23, 24, 27, 29], "being": [2, 5, 6, 20, 24], "abl": [2, 3, 5, 6, 9, 10, 12, 17, 18, 23, 27, 29, 30, 35, 36], "our": [2, 5, 6, 7, 10, 12, 13, 17, 18, 19, 20, 21, 22, 23, 25, 27, 31, 32, 33, 34, 35, 36, 40, 42], "At": [2, 3, 13, 18, 29, 40], "final": [2, 3, 5, 19, 20, 22, 25, 27, 31, 32, 33, 40], "want": [2, 6, 7, 8, 9, 15, 17, 20, 21, 22, 23, 25, 27, 29, 32, 33, 35, 36], "re": [2, 5, 6, 27, 29, 37, 38, 39, 44, 45, 46], "align": 2, "output": [2, 3, 4, 5, 6, 9, 10, 11, 12, 13, 17, 18, 19, 22, 25, 27, 28, 29, 30, 31, 32, 33, 35, 36, 40], "need": [2, 3, 5, 6, 8, 9, 10, 11, 12, 13, 17, 19, 20, 22, 23, 25, 26, 27, 29, 30, 32, 33, 35], "constraint": 2, "criteria": 2, "listen": 2, "even": [2, 5, 6, 33], "oldridg": 2, "move": [2, 3, 5, 6, 9, 11, 12, 25, 32], "talk": [2, 40], "kdd": 2, "21": [2, 5, 8, 9, 10, 25, 27, 37, 38, 39, 44, 45, 46], "read": [2, 3, 5, 6, 8, 11, 19, 25, 27, 29, 30, 32, 33, 35, 36], "blog": [2, 29, 40], "post": [2, 5, 12, 13, 19, 23, 25, 40], "approxim": [2, 3, 33, 40], "neighbour": 2, "ann": [2, 3, 15, 40], "addit": [2, 7, 8, 15, 20, 23, 33, 40], "client": [2, 5, 6, 12, 13, 19, 25, 27, 28, 29, 32, 33, 35, 36], "extern": [2, 7, 8, 9, 10, 11, 13, 20, 29], "faiss": [2, 4, 15, 27], "similar": [2, 4, 8, 9, 15, 20, 21, 24, 25, 29, 30, 40], "cluster": [2, 3, 28, 36], "dens": [2, 9, 10, 11, 23, 30], "vector": [2, 3, 6, 11, 23, 40], "find": [2, 3, 4, 17, 21, 22, 23, 24, 30], "tag": [2, 4, 5, 6, 8, 10, 11, 17, 19, 20, 23, 24, 25, 27, 29, 31, 33, 35, 36], "most": [2, 6, 8, 14, 17, 20, 22, 23, 24, 29, 40], "recent": [2, 23, 40], "releas": [2, 4, 8, 16, 24, 27, 37, 38, 39, 43, 44, 45, 46], "refer": [2, 3, 8, 20, 21, 22, 26, 29], "31": [2, 3, 5, 12, 13, 27, 29, 37, 38, 39, 44, 45, 46], "uncom": [2, 27], "uninstal": [2, 22, 27], "o": [2, 3, 5, 6, 7, 8, 9, 10, 11, 12, 13, 19, 25, 27, 28, 29, 30, 31, 32, 33, 35, 36], "nvt": [2, 6, 7, 8, 9, 10, 11, 12, 13, 25, 27, 28, 29, 32, 35, 36], "op": [2, 3, 5, 6, 8, 9, 11, 20, 25, 27, 29, 33, 35, 36], "renam": [2, 5, 11, 31, 35], "dropna": 2, "lambdaop": [2, 5, 8], "categorifi": [2, 5, 6, 8, 20, 25, 27, 29, 35, 36], "tagasuserfeatur": [2, 25, 27], "tagasuserid": [2, 8, 25, 27, 35], "tagasitemfeatur": [2, 25, 27], "tagasitemid": [2, 6, 8, 25, 27, 35], "addmetadata": [2, 25, 27, 29], "dag": [2, 3, 5, 6, 8, 11, 25, 27, 33, 35, 36], "subgraph": 2, "tf": [2, 3, 5, 6, 8, 10, 11, 25, 27, 31, 33], "mm": [2, 5, 6, 11, 25, 27, 31, 33], "ecommerc": [2, 5], "transform_aliccp": 2, "comment": [2, 20, 23], "out": [2, 3, 5, 6, 8, 10, 11, 12, 15, 17, 19, 20, 22, 23, 24, 25, 29, 31, 32, 33], "tf_gpu_alloc": [2, 5, 11, 17, 18, 19, 22, 23, 25, 31, 33], "cuda_malloc_async": [2, 5, 11, 17, 18, 19, 22, 23, 25, 31, 33], "06": [2, 3, 5, 6, 8, 25, 28, 29, 30, 31, 37, 38, 39, 43, 44, 45, 46], "29": [2, 3, 5, 6, 18, 19, 25, 27, 31, 35, 36, 37, 38, 39, 44, 45, 46], "19": [2, 3, 5, 27, 29, 37, 38, 39, 44, 45, 46], "49": [2, 37, 39, 44, 46], "32": [2, 3, 10, 11, 17, 22, 23, 25, 27, 28, 29, 31, 35], "836544": 2, "cpu_feature_guard": [2, 3, 5, 6, 11, 19, 25, 27, 31], "cc": [2, 3, 5, 6, 11, 18, 19, 25, 27, 31, 35, 36], "194": [2, 3, 5, 6, 11, 19, 27, 31], "oneapi": [2, 3, 5, 6, 11, 19, 27, 31], "neural": [2, 3, 5, 6, 7, 8, 9, 11, 19, 20, 23, 27, 29, 31, 40], "network": [2, 3, 5, 6, 7, 8, 9, 11, 17, 19, 20, 23, 27, 29, 31, 40], "onednn": [2, 3, 5, 6, 11, 19, 27, 31], "instruct": [2, 3, 5, 6, 11, 13, 18, 19, 25, 27, 31, 35, 36], "critic": [2, 3, 5, 6, 11, 19, 25, 27, 31], "sse3": [2, 3, 5, 6, 11, 19, 25, 27, 31], "sse4": [2, 3, 5, 6, 11, 19, 25, 27, 31], "1": [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 15, 17, 19, 20, 21, 23, 24, 25, 26, 28, 29, 30, 31, 32, 33, 35, 36, 37, 38, 39, 40, 43, 44, 45, 46], "avx": [2, 3, 5, 6, 11, 19, 25, 27, 31], "them": [2, 3, 5, 6, 8, 10, 11, 12, 17, 18, 19, 20, 23, 25, 27, 29, 31, 32, 33, 40, 41], "rebuild": [2, 3, 5, 6, 11, 19, 25, 27, 31], "appropri": [2, 3, 5, 6, 11, 19, 25, 27, 31], "compil": [2, 3, 5, 6, 9, 11, 19, 25, 27, 30, 31], "flag": [2, 3, 4, 5, 6, 11, 12, 13, 19, 25, 27, 31], "usr": [2, 3, 5, 6, 8, 9, 10, 11, 12, 13, 19, 25, 27, 28, 31, 32, 35, 36], "local": [2, 3, 5, 6, 8, 9, 10, 11, 12, 13, 15, 19, 22, 25, 27, 28, 29, 35, 36], "lib": [2, 3, 5, 6, 8, 9, 10, 11, 12, 13, 19, 25, 27, 28, 31, 32, 35, 36], "python3": [2, 3, 5, 6, 8, 9, 10, 11, 12, 13, 19, 25, 27, 28, 31, 32, 35, 36], "8": [2, 3, 5, 6, 7, 8, 9, 10, 11, 12, 13, 17, 19, 22, 25, 27, 28, 29, 30, 31, 32, 35, 36, 37, 38, 39, 44, 45, 46], "dist": [2, 3, 5, 6, 8, 9, 10, 11, 12, 13, 19, 25, 27, 28, 31, 32, 35, 36], "packag": [2, 3, 5, 6, 8, 9, 10, 11, 12, 13, 19, 22, 25, 26, 27, 28, 31, 32, 35, 36, 37, 38, 39, 44, 45, 46], "dtype": [2, 3, 5, 6, 8, 9, 10, 11, 12, 13, 19, 25, 28, 29, 31, 36], "torch": [2, 3, 5, 6, 10, 19, 25], "py": [2, 3, 5, 6, 8, 9, 10, 11, 12, 13, 17, 18, 19, 20, 22, 23, 25, 27, 28, 30, 31, 32, 35, 36], "43": [2, 3, 5, 6, 19, 25, 36, 39, 46], "userwarn": [2, 3, 5, 6, 8, 10, 19, 25, 27, 35, 36], "did": [2, 3, 5, 6, 8, 10, 19, 25, 35, 36], "successfulli": [2, 3, 5, 6, 8, 10, 19, 25, 27], "due": [2, 3, 5, 6, 8, 10, 19, 21, 25, 27], "error": [2, 3, 5, 6, 8, 10, 17, 19, 20, 25, 27], "No": [2, 3, 5, 6, 8, 10, 11, 19, 25, 27], "warn": [2, 3, 5, 6, 8, 10, 11, 12, 13, 19, 25, 27, 28, 29, 30, 31, 32, 35, 36], "f": [2, 3, 5, 6, 8, 10, 11, 12, 18, 19, 25, 27, 29, 30, 32], "exc": [2, 3, 5, 6, 8, 10, 19, 25], "msg": [2, 3, 5, 6, 8, 10, 19, 25], "fix": [2, 5, 6, 11, 23, 25, 29], "python": [2, 3, 5, 6, 9, 11, 15, 17, 18, 20, 22, 23, 24, 25, 28, 30, 31], "track": [2, 5, 6, 11, 22, 25], "data_structur": [2, 5, 6, 11, 25], "ha": [2, 3, 5, 6, 7, 8, 10, 11, 17, 20, 21, 23, 25, 28, 35, 36, 40], "been": [2, 5, 6, 8, 11, 12, 13, 20, 23, 25, 27], "trackabl": [2, 5, 6, 11, 25], "old": [2, 5, 6, 7, 11, 25], "delet": [2, 5, 6, 11, 25, 28], "11": [2, 5, 6, 11, 25, 27, 30, 31, 32, 37, 38, 39, 44, 45, 46], "info": [2, 3, 5, 6, 11, 23, 25, 27, 28, 29, 30, 31, 36], "sparse_operation_kit": [2, 5, 6, 25], "sok": [2, 5, 6, 25], "merlin_sok": [2, 5, 6, 25, 27], "4": [2, 5, 6, 7, 8, 10, 12, 15, 17, 19, 23, 25, 27, 29, 30, 31, 32, 34, 35, 36, 37, 38, 39, 40, 44, 45, 46], "py3": [2, 5, 6, 25, 27], "linux": [2, 5, 6, 25, 27], "x86_64": [2, 5, 6, 25, 27], "egg": [2, 5, 6, 25, 27], "libsok_experi": [2, 5, 6, 25], "37": [2, 3, 27, 30, 32], "094972": 2, "38": [2, 6, 27, 29, 32, 37, 44], "134481": 2, "w": [2, 5, 6, 12, 21, 22, 25, 30, 32], "common_runtim": [2, 3, 5, 6, 11, 25, 27, 31], "gpu_bfc_alloc": [2, 5, 6, 25], "42": [2, 5, 6, 23, 35, 37, 39, 44, 46], "overrid": [2, 5, 6, 20, 25], "orig_valu": [2, 5, 6, 25], "tf_force_gpu_allow_growth": [2, 5, 6, 25], "variabl": [2, 3, 5, 6, 17, 22, 25, 27, 28, 29], "origin": [2, 5, 6, 7, 10, 11, 20, 23, 25, 28], "config": [2, 3, 5, 6, 11, 12, 13, 18, 25, 27, 32, 33], "valu": [2, 3, 5, 6, 10, 11, 12, 19, 20, 22, 23, 25, 27, 28, 29, 32, 33, 35, 36], "wa": [2, 5, 6, 8, 11, 17, 20, 21, 25, 27, 28, 33, 35, 36, 40], "134526": 2, "gpu_devic": [2, 3, 5, 6, 11, 25, 27, 31], "1621": [2, 3, 5, 6], "devic": [2, 3, 5, 6, 8, 10, 11, 20, 23, 25, 27, 28, 29, 30, 31], "job": [2, 3, 5, 6, 11, 21, 22, 25, 27, 31], "localhost": [2, 3, 5, 6, 11, 12, 13, 19, 25, 27, 31, 32, 33, 35, 36], "replica": [2, 3, 5, 6, 11, 25, 27, 31], "24576": [2, 3, 5, 6, 11], "mb": [2, 3, 5, 6, 11, 25, 27, 31], "quadro": [2, 3, 5, 6, 11, 25], "rtx": [2, 3, 5, 6, 11], "8000": [2, 3, 4, 5, 6, 11, 12, 13, 18, 19, 25, 35, 36], "pci": [2, 3, 5, 6, 11, 25, 27, 31], "bu": [2, 3, 5, 6, 11, 25, 27, 31], "id": [2, 3, 5, 6, 8, 10, 11, 12, 13, 17, 20, 22, 23, 25, 27, 28, 31, 40], "0000": [2, 3, 5, 6, 11, 25, 27, 31], "15": [2, 3, 8, 17, 25, 29, 30, 35, 37, 38, 39, 44, 45, 46], "00": [2, 3, 5, 6, 7, 10, 11, 25, 27, 29, 31, 35, 36, 37, 38, 39, 44, 45, 46], "comput": [2, 3, 5, 6, 8, 11, 20, 21, 22, 23, 25, 27, 29, 31, 35, 36, 40], "capabl": [2, 3, 5, 6, 11, 15, 25, 27, 31], "7": [2, 3, 5, 6, 8, 10, 11, 17, 19, 20, 25, 27, 28, 29, 31, 35, 36, 37, 38, 39, 43, 44, 45, 46], "5": [2, 3, 5, 6, 7, 8, 11, 12, 17, 19, 20, 21, 23, 25, 27, 29, 31, 32, 35, 36, 37, 38, 39, 44, 45, 46], "135533": 2, "135562": 2, "2d": [2, 3, 25], "tqdm": [2, 5, 8, 9, 10, 11, 12, 25, 35], "auto": [2, 5, 8, 9, 10, 11, 12, 25, 35], "tqdmwarn": [2, 5, 8, 9, 10, 11, 12, 25, 35], "iprogress": [2, 5, 8, 9, 10, 11, 12, 25, 35], "updat": [2, 3, 5, 6, 8, 9, 10, 11, 12, 25, 27, 33, 35, 40], "ipywidget": [2, 5, 8, 9, 10, 11, 12, 25, 35], "readthedoc": [2, 5, 8, 9, 10, 11, 12, 25, 35], "en": [2, 5, 8, 9, 10, 11, 12, 25, 35], "user_instal": [2, 5, 8, 9, 10, 11, 12, 25, 35], "autonotebook": [2, 5, 8, 9, 10, 11, 12, 25, 35], "notebook_tqdm": [2, 5, 8, 9, 10, 11, 12, 25, 35], "initi": [2, 3, 5, 6, 8, 12, 17, 20, 23, 25, 27, 28, 29, 31, 36], "finish": [2, 3, 5, 6, 18, 22, 25], "commun": [2, 3, 5, 6, 25, 27, 31, 40], "horovod": [2, 5, 6, 25], "disabl": [2, 12], "debug": [2, 23, 25, 27], "log": [2, 4, 15, 17, 20, 22, 24, 27, 29, 31, 34], "everywher": 2, "synthet": [2, 23, 25, 27, 40], "mimick": [2, 25, 27], "ali": [2, 25, 27], "ccp": [2, 25, 27], "alibaba": [2, 25, 27], "click": [2, 3, 9, 15, 17, 19, 20, 21, 22, 23, 25, 27, 29, 31, 32, 34, 40], "convers": [2, 15, 25, 27], "first": [2, 3, 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12, 14, 18, 21, 23, 24, 26], "org": [1, 2, 3, 5, 6, 7, 8, 9, 10, 11, 12, 18, 22, 24, 26, 27, 28, 29, 30, 31, 33, 34], "team": [1, 5, 21, 22], "plugin": 1, "must": [1, 5, 6, 11, 17, 22, 24, 26, 33, 34], "instal": [1, 2, 3, 5, 6, 16, 18, 21, 24, 26, 31, 33, 34], "toolkit": [1, 26], "support": [1, 3, 8, 9, 10, 16, 19, 23, 24, 26, 27, 29, 30, 31, 35, 36, 37], "link": [1, 5, 6, 16, 21, 39], "referenc": [1, 6, 12, 31], "preced": [1, 2], "launch": [1, 3, 4, 21, 24, 26], "befor": [1, 2, 3, 6, 12, 19, 22, 24, 26, 38, 41], "one": [1, 4, 5, 6, 8, 10, 11, 14, 16, 17, 18, 19, 21, 22, 23, 24, 26, 27, 30, 31, 33, 34, 38], "separ": [1, 8, 19, 20, 21, 22, 38, 41], "copyright": [2, 3, 5, 6, 7, 8, 9, 10, 11, 12, 18, 24, 26, 27, 28, 29, 30, 31, 33, 34], "2023": [2, 3, 5, 6, 11, 18, 24], "corpor": [2, 3, 5, 6, 7, 8, 9, 10, 11, 12, 18, 24, 26, 27, 28, 29, 30, 31, 33, 34], "right": [2, 3, 5, 6, 7, 8, 9, 10, 11, 12, 16, 18, 24, 26, 27, 28, 29, 30, 31, 33, 34], "reserv": [2, 3, 5, 6, 7, 8, 9, 10, 11, 12, 16, 18, 24, 26, 27, 28, 29, 30, 31, 33, 34], "licens": [2, 3, 5, 6, 7, 8, 9, 10, 11, 12, 18, 24, 26, 27, 28, 29, 30, 31, 33, 34], "under": [2, 3, 5, 6, 7, 8, 9, 10, 11, 12, 18, 23, 24, 26, 27, 28, 29, 30, 31, 33, 34], "apach": [2, 3, 5, 6, 7, 8, 9, 10, 11, 12, 18, 24, 26, 27, 28, 29, 30, 31, 33, 34], "version": [2, 3, 5, 6, 7, 8, 9, 10, 11, 12, 18, 23, 24, 26, 27, 28, 29, 30, 31, 33, 34, 35, 36, 37, 41, 42, 43, 44], "2": [2, 3, 5, 6, 7, 8, 9, 10, 11, 12, 16, 18, 19, 20, 22, 24, 27, 28, 29, 30, 31, 33, 34, 35, 36, 37, 42, 43, 44], "0": [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 14, 16, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27, 28, 29, 30, 31, 33, 34, 35, 36, 37, 38, 42, 43, 44], "mai": [2, 3, 5, 6, 7, 8, 9, 10, 11, 12, 16, 18, 24, 26, 27, 28, 29, 30, 31, 33, 34], "thi": [2, 3, 5, 6, 7, 8, 9, 10, 11, 12, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 33, 34, 38, 39, 42, 43, 44], "file": [2, 3, 5, 6, 7, 8, 9, 10, 11, 12, 16, 17, 18, 19, 22, 24, 26, 27, 28, 29, 30, 31, 33, 34], "except": [2, 3, 5, 6, 7, 8, 9, 10, 11, 12, 18, 20, 24, 26, 27, 28, 29, 30, 31, 33, 34], "complianc": [2, 3, 5, 6, 7, 8, 9, 10, 11, 12, 18, 24, 26, 27, 28, 29, 30, 31, 33, 34], "obtain": [2, 3, 5, 6, 7, 8, 9, 10, 11, 12, 16, 18, 21, 24, 26, 27, 28, 29, 30, 31, 33, 34], "copi": [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 14, 18, 19, 23, 24, 26, 27, 28, 29, 30, 31, 33, 34], "www": [2, 3, 5, 6, 7, 8, 9, 10, 11, 12, 18, 24, 26, 27, 28, 29, 30, 31, 33, 34], "unless": [2, 3, 5, 6, 7, 8, 9, 10, 11, 12, 18, 24, 26, 27, 28, 29, 30, 31, 33, 34], "applic": [2, 3, 5, 6, 7, 8, 9, 10, 11, 12, 18, 24, 26, 27, 28, 29, 30, 31, 33, 34, 35, 36, 37, 42, 43, 44], "law": [2, 3, 5, 6, 7, 8, 9, 10, 11, 12, 18, 24, 26, 27, 28, 29, 30, 31, 33, 34], "agre": [2, 3, 5, 6, 7, 8, 9, 10, 11, 12, 16, 18, 24, 26, 27, 28, 29, 30, 31, 33, 34], "write": [2, 3, 5, 6, 7, 8, 9, 10, 11, 12, 18, 24, 26, 27, 28, 29, 30, 31, 33, 34], "softwar": [2, 3, 5, 6, 7, 8, 9, 10, 11, 12, 17, 18, 24, 26, 27, 28, 29, 30, 31, 33, 34, 41], "i": [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 16, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 42, 43, 44], "AS": [2, 3, 5, 6, 7, 8, 9, 10, 11, 12, 18, 24, 26, 27, 28, 29, 30, 31, 33, 34], "basi": [2, 3, 5, 6, 7, 8, 9, 10, 11, 12, 18, 21, 24, 26, 27, 28, 29, 30, 31, 33, 34], "warranti": [2, 3, 5, 6, 7, 8, 9, 10, 11, 12, 18, 24, 26, 27, 28, 29, 30, 31, 33, 34], "OR": [2, 3, 5, 6, 7, 8, 9, 10, 11, 12, 18, 24, 26, 27, 28, 29, 30, 31, 33, 34], "condit": [2, 3, 5, 6, 7, 8, 9, 10, 11, 12, 16, 18, 19, 24, 26, 27, 28, 29, 30, 31, 33, 34], "OF": [2, 3, 5, 6, 7, 8, 9, 10, 11, 12, 18, 24, 26, 27, 28, 29, 30, 31, 33, 34], "kind": [2, 3, 5, 6, 7, 8, 9, 10, 11, 12, 18, 24, 26, 27, 28, 29, 30, 31, 33, 34], "express": [2, 3, 5, 6, 7, 8, 9, 10, 11, 12, 18, 19, 24, 26, 27, 28, 29, 30, 31, 33, 34], "impli": [2, 3, 5, 6, 7, 8, 9, 10, 11, 12, 18, 24, 26, 27, 28, 29, 30, 31, 33, 34], "specif": [2, 3, 5, 6, 7, 8, 9, 10, 11, 12, 16, 18, 19, 22, 24, 26, 27, 28, 29, 30, 31, 33, 34, 38], "languag": [2, 3, 5, 6, 7, 8, 9, 10, 11, 12, 16, 18, 24, 26, 27, 28, 29, 30, 31, 33, 34, 38], "govern": [2, 3, 5, 6, 7, 8, 9, 10, 11, 12, 18, 19, 20, 24, 26, 27, 28, 29, 30, 31, 33, 34], "permiss": [2, 3, 5, 6, 7, 8, 9, 10, 11, 12, 18, 24, 26, 27, 28, 29, 30, 31, 33, 34], "limit": [2, 3, 5, 6, 7, 8, 9, 10, 11, 12, 16, 18, 24, 26, 27, 28, 29, 30, 31, 33, 34], "respons": [2, 3, 5, 6, 7, 8, 9, 10, 11, 12, 16, 17, 18, 22, 24, 26, 27, 28, 29, 30, 31, 33, 34], "check": [2, 3, 5, 6, 7, 9, 10, 11, 12, 16, 18, 19, 20, 21, 22, 24, 26, 27, 28, 29, 30, 31, 33, 34], "content": [2, 3, 5, 6, 7, 8, 9, 10, 11, 12, 18, 24, 26, 27, 28, 29, 30, 31, 33, 34, 38, 39], "determin": [2, 3, 5, 6, 7, 8, 9, 10, 11, 12, 18, 24, 26, 27, 28, 29, 30, 31, 33, 34], "suitabl": [2, 3, 5, 6, 7, 8, 9, 10, 11, 12, 16, 18, 19, 24, 26, 27, 28, 29, 30, 31, 33, 34], "intend": [2, 3, 5, 6, 7, 8, 9, 10, 11, 12, 17, 18, 24, 26, 27, 28, 29, 30, 31, 33, 34], "notebook": [2, 3, 5, 6, 7, 8, 9, 10, 11, 12, 13, 16, 17, 18, 24, 26, 27, 28, 29, 30, 31, 32, 33, 34], "latest": [2, 3, 5, 6, 7, 8, 9, 10, 11, 12, 16, 21, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 38], "stabl": [2, 3, 5, 6, 7, 8, 9, 10, 11, 12, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34], "modern": 2, "internet": 2, "catalyst": 2, "human": 2, "decis": 2, "becaus": [2, 5, 6, 8, 16, 20, 22, 24, 26], "offlin": 2, "filter": [2, 5, 6, 14, 16, 22], "order": [2, 3, 5, 6, 8, 10, 14, 16, 17, 19, 22, 24, 26, 28, 33, 34, 38], "etc": [2, 19, 22, 38], "work": [2, 5, 6, 8, 15, 21, 24, 26], "togeth": [2, 19, 22, 40], "seamlessli": 2, "effici": [2, 3, 9, 10, 29], "biggest": 2, "practition": 2, "lack": 2, "understand": [2, 20], "around": 2, "look": [2, 3, 4, 5, 6, 7, 8, 10, 11, 14, 16, 23, 24, 26, 28, 38], "gap": 2, "between": [2, 3, 6, 8, 19, 20, 22, 24, 38], "exampl": [2, 3, 5, 6, 7, 8, 9, 10, 11, 12, 15, 16, 17, 18, 19, 20, 21, 22, 24, 26, 27, 28, 29, 30, 31, 32, 33, 34, 38, 39], "simpl": [2, 7, 10, 22, 24, 38], "readi": [2, 3, 5, 6, 11, 12, 16, 18, 21, 24, 28, 31, 33, 34], "figur": [2, 3, 11, 20, 27, 38], "below": [2, 3, 5, 6, 9, 11, 12, 17, 18, 19, 20, 21, 24, 26, 33, 34], "repres": [2, 3, 5, 8, 10, 17, 19, 22, 24, 28], "four": [2, 5, 20, 27, 28, 30, 34], "than": [2, 5, 6, 10, 16, 19, 20, 22, 26, 28, 29, 38], "singl": [2, 5, 6, 8, 9, 10, 13, 14, 16, 17, 18, 21, 22, 28, 38], "much": [2, 15, 19, 20, 26], "realist": [2, 19], "closer": 2, "": [2, 3, 5, 6, 7, 8, 10, 11, 12, 14, 16, 17, 18, 24, 26, 27, 28, 29, 30, 33, 34, 38], "happen": [2, 22], "In": [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 16, 17, 18, 19, 20, 21, 22, 24, 26, 28, 29, 31, 33, 34, 38, 39], "seri": [2, 3, 18], "we": [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27, 28, 29, 30, 31, 32, 33, 34, 38, 39], "go": [2, 3, 8, 15, 16, 19, 21, 31, 33, 34], "showcas": [2, 20], "let": [2, 3, 5, 6, 8, 10, 11, 12, 21, 24, 28, 30, 33, 34], "concept": [2, 11, 13, 14, 25, 26], "briefli": 2, "narrow": 2, "down": [2, 8], "million": [2, 16, 19, 22], "thousand": [2, 22], "candid": [2, 3, 22, 31, 38], "relev": [2, 3, 16, 19, 22, 38], "top": [2, 3, 16, 19, 20, 22], "k": [2, 3, 19, 26], "exclud": 2, "alreadi": [2, 3, 6, 8, 16, 17, 19, 21, 22, 24, 26, 27, 28, 34], "interact": [2, 5, 11, 14, 15, 16, 19, 22, 29, 38], "undesir": 2, "appli": [2, 3, 6, 8, 24, 28, 33, 34, 38], "busi": [2, 24], "logic": [2, 24], "rule": [2, 38], "although": [2, 7, 10, 26], "skip": [2, 5, 6, 27, 33], "score": [2, 3, 12, 14, 18, 19, 22, 31, 38], "also": [2, 5, 8, 16, 18, 19, 20, 21, 22, 24, 26], "known": [2, 24], "here": [2, 3, 5, 6, 8, 10, 11, 15, 16, 19, 20, 21, 22, 23, 26, 28], "being": [2, 5, 6, 19, 23], "abl": [2, 3, 5, 6, 9, 10, 16, 17, 22, 26, 28, 29, 33, 34], "our": [2, 5, 6, 7, 10, 12, 16, 17, 18, 19, 20, 21, 22, 24, 26, 30, 31, 32, 33, 34, 38, 40], "At": [2, 3, 12, 17, 28, 38], "final": [2, 3, 5, 18, 19, 21, 24, 26, 30, 31, 38], "want": [2, 6, 7, 8, 9, 14, 16, 19, 20, 21, 22, 24, 26, 28, 31, 33, 34], "re": [2, 5, 6, 26, 28, 35, 36, 37, 42, 43, 44], "align": 2, "output": [2, 3, 4, 5, 6, 9, 10, 11, 12, 16, 17, 18, 21, 24, 26, 27, 28, 29, 30, 31, 33, 34, 38], "need": [2, 3, 5, 6, 8, 9, 10, 11, 12, 16, 18, 19, 21, 22, 24, 25, 26, 28, 29, 31, 33], "constraint": 2, "criteria": 2, "listen": 2, "even": [2, 5, 6, 31], "oldridg": 2, "move": [2, 3, 5, 6, 9, 11, 24], "talk": [2, 38], "kdd": 2, "21": [2, 5, 8, 9, 10, 24, 26, 35, 36, 37, 42, 43, 44], "read": [2, 3, 5, 6, 8, 11, 18, 24, 26, 28, 29, 31, 33, 34], "blog": [2, 28, 38], "post": [2, 5, 12, 18, 22, 24, 38], "approxim": [2, 3, 31, 38], "neighbour": 2, "ann": [2, 3, 14, 38], "addit": [2, 7, 8, 14, 19, 22, 31, 38], "client": [2, 5, 6, 12, 18, 24, 26, 27, 28, 31, 33, 34], "extern": [2, 7, 8, 9, 10, 11, 12, 19, 28], "faiss": [2, 4, 14, 26], "similar": [2, 4, 8, 9, 14, 19, 20, 23, 24, 28, 29, 38], "cluster": [2, 3, 27, 34], "dens": [2, 9, 10, 11, 22, 29], "vector": [2, 3, 6, 11, 22, 38], "find": [2, 3, 4, 16, 20, 21, 22, 23, 29], "tag": [2, 4, 5, 6, 8, 10, 11, 16, 18, 19, 22, 23, 24, 26, 28, 30, 31, 33, 34], "most": [2, 6, 8, 13, 16, 19, 21, 22, 23, 28, 38], "recent": [2, 22, 38], "releas": [2, 4, 8, 15, 23, 26, 35, 36, 37, 41, 42, 43, 44], "refer": [2, 3, 8, 19, 20, 21, 25, 28], "31": [2, 3, 5, 12, 26, 28, 35, 36, 37, 42, 43, 44], "uncom": [2, 26], "uninstal": [2, 21, 26], "o": [2, 3, 5, 6, 7, 8, 9, 10, 11, 12, 18, 24, 26, 27, 28, 29, 30, 31, 33, 34], "nvt": [2, 6, 7, 8, 9, 10, 11, 12, 24, 26, 27, 28, 33, 34], "op": [2, 3, 5, 6, 8, 9, 11, 19, 24, 26, 28, 31, 33, 34], "renam": [2, 5, 11, 30, 33], "dropna": 2, "lambdaop": [2, 5, 8], "categorifi": [2, 5, 6, 8, 19, 24, 26, 28, 33, 34], "tagasuserfeatur": [2, 24, 26], "tagasuserid": [2, 8, 24, 26, 33], "tagasitemfeatur": [2, 24, 26], "tagasitemid": [2, 6, 8, 24, 26, 33], "addmetadata": [2, 24, 26, 28], "dag": [2, 3, 5, 6, 8, 11, 24, 26, 31, 33, 34], "subgraph": 2, "tf": [2, 3, 5, 6, 8, 10, 11, 24, 26, 30, 31], "mm": [2, 5, 6, 11, 24, 26, 30, 31], "ecommerc": [2, 5], "transform_aliccp": 2, "comment": [2, 19, 22], "out": [2, 3, 5, 6, 8, 10, 11, 14, 16, 18, 19, 21, 22, 23, 24, 28, 30, 31], "tf_gpu_alloc": [2, 5, 11, 16, 17, 18, 21, 22, 24, 30, 31], "cuda_malloc_async": [2, 5, 11, 16, 17, 18, 21, 22, 24, 30, 31], "06": [2, 3, 5, 6, 8, 24, 27, 28, 29, 30, 35, 36, 37, 41, 42, 43, 44], "29": [2, 3, 5, 6, 17, 18, 24, 26, 30, 33, 34, 35, 36, 37, 42, 43, 44], "19": [2, 3, 5, 26, 28, 35, 36, 37, 42, 43, 44], "49": [2, 35, 37, 42, 44], "32": [2, 3, 10, 11, 16, 21, 22, 24, 26, 27, 28, 30, 33], "836544": 2, "cpu_feature_guard": [2, 3, 5, 6, 11, 18, 24, 26, 30], "cc": [2, 3, 5, 6, 11, 17, 18, 24, 26, 30, 33, 34], "194": [2, 3, 5, 6, 11, 18, 26, 30], "oneapi": [2, 3, 5, 6, 11, 18, 26, 30], "neural": [2, 3, 5, 6, 7, 8, 9, 11, 18, 19, 22, 26, 28, 30, 38], "network": [2, 3, 5, 6, 7, 8, 9, 11, 16, 18, 19, 22, 26, 28, 30, 38], "onednn": [2, 3, 5, 6, 11, 18, 26, 30], "instruct": [2, 3, 5, 6, 11, 12, 17, 18, 24, 26, 30, 33, 34], "critic": [2, 3, 5, 6, 11, 18, 24, 26, 30], "sse3": [2, 3, 5, 6, 11, 18, 24, 26, 30], "sse4": 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 <li class="toctree-l3"><a class="reference internal" href="../examples/scaling-criteo/04-Triton-Inference-with-Merlin-Models-TensorFlow.html">Deploy the TensorFlow Model with Triton</a></li>
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