diff --git a/docs/data.json b/docs/data.json
index f03f35e87..7a436fc5b 100644
--- a/docs/data.json
+++ b/docs/data.json
@@ -239,6 +239,46 @@
       "timestamp_utc": "2023-01-04T15:17:29.961748",
       "transformers4rec": "0.1.16",
       "triton": "2.28.0"
+    },
+    "23.02": {
+      "base_container": "Triton version 22.12",
+      "compressedSize": "5.42 GB",
+      "cublas": "11.11.3.6",
+      "cuda": "11.8.0.065",
+      "cudf": "22.08.00a+304.g6ca81bbc78.dirty",
+      "cudnn": "8.7.0.84",
+      "cufft": "10.9.0.58",
+      "curand": "10.3.0.86",
+      "cusolver": "11.4.1.48",
+      "cusparse": "11.7.5.86",
+      "cutensor": "1.6.1.5",
+      "dgx_system": "* DGX-1\n* DGX-2\n* DGX A100\n* DGX Station",
+      "distributed_embeddings": "Not applicable",
+      "gpu_model": "* `NVIDIA Ampere GPU Architecture <https://www.nvidia.com/en-us/geforce/turing>`_\n* `Turing <https://www.nvidia.com/en-us/geforce/turing/>`_\n* `Volta <https://www.nvidia.com/en-us/data-center/volta-gpu-architecture/>`_\n* `Pascal <https://www.nvidia.com/en-us/data-center/pascal-gpu-architecture/>`_",
+      "hugectr": "23.2.0",
+      "hugectr2onnx": "Not applicable",
+      "merlin.core": "23.2.0",
+      "merlin.dataloader": "23.2.0",
+      "merlin.models": "23.2.0",
+      "merlin.systems": "23.2.0",
+      "nvidia_driver": "NVIDIA Driver version 465.19.01\nor later is required.  However,\nif you're running on Data Center\nGPUs (formerly Tesla) such as T4,\nyou can use any of the following\nNVIDIA Driver versions:\n\n* 418.40 (or later R418)\n* 440.33 (or later R440)\n* 450.51 (or later R450)\n* 460.27 (or later R460)\n\n**Note**: The CUDA Driver\nCompatibility Package does not\nsupport all drivers.",
+      "nvidia_pytorch": "Not applicable",
+      "nvidia_tensorflow": "Not applicable",
+      "nvtabular": "23.2.0",
+      "openmpi": "4.1.4",
+      "os": "Ubuntu 20.04.5 LTS",
+      "python_major": "3",
+      "pytorch": "Not applicable",
+      "release": "23.02",
+      "rmm": "22.08.00a+62.gf6bf047.dirty",
+      "size": "780.56 GB",
+      "sm": "60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80, 60, 61, 70, 75, 80",
+      "sparse_operation_kit": "Not applicable",
+      "tensorrt": "8.5.1.7",
+      "tf": "Not applicable",
+      "timestamp_utc": "2023-03-14T14:56:31.344931",
+      "transformers4rec": "23.2.0",
+      "triton": "2.29.0"
     }
   },
   "nvcr.io/nvidia/merlin/merlin-inference": {
@@ -795,6 +835,46 @@
       "timestamp_utc": "2023-01-04T15:16:54.396183",
       "transformers4rec": "0.1.16",
       "triton": "2.28.0"
+    },
+    "23.02": {
+      "base_container": "Triton version 22.12",
+      "compressedSize": "6.7 GB",
+      "cublas": "11.11.3.6",
+      "cuda": "11.8.0.065",
+      "cudf": "22.08.00a+304.g6ca81bbc78.dirty",
+      "cudnn": "8.7.0.84",
+      "cufft": "10.9.0.58",
+      "curand": "10.3.0.86",
+      "cusolver": "11.4.1.48",
+      "cusparse": "11.7.5.86",
+      "cutensor": "1.6.1.5",
+      "dgx_system": "* DGX-1\n* DGX-2\n* DGX A100\n* DGX Station",
+      "distributed_embeddings": "Not applicable",
+      "gpu_model": "* `NVIDIA Ampere GPU Architecture <https://www.nvidia.com/en-us/geforce/turing>`_\n* `Turing <https://www.nvidia.com/en-us/geforce/turing/>`_\n* `Volta <https://www.nvidia.com/en-us/data-center/volta-gpu-architecture/>`_\n* `Pascal <https://www.nvidia.com/en-us/data-center/pascal-gpu-architecture/>`_",
+      "hugectr": "Not applicable",
+      "hugectr2onnx": "Not applicable",
+      "merlin.core": "23.2.0",
+      "merlin.dataloader": "23.2.0",
+      "merlin.models": "23.2.0",
+      "merlin.systems": "23.2.0",
+      "nvidia_driver": "NVIDIA Driver version 465.19.01\nor later is required.  However,\nif you're running on Data Center\nGPUs (formerly Tesla) such as T4,\nyou can use any of the following\nNVIDIA Driver versions:\n\n* 418.40 (or later R418)\n* 440.33 (or later R440)\n* 450.51 (or later R450)\n* 460.27 (or later R460)\n\n**Note**: The CUDA Driver\nCompatibility Package does not\nsupport all drivers.",
+      "nvidia_pytorch": "Not applicable",
+      "nvidia_tensorflow": "Not applicable",
+      "nvtabular": "23.2.0",
+      "openmpi": "4.1.4",
+      "os": "Ubuntu 20.04.5 LTS",
+      "python_major": "3",
+      "pytorch": "1.13.1",
+      "release": "23.02",
+      "rmm": "22.08.00a+62.gf6bf047.dirty",
+      "size": "783.02 GB",
+      "sm": "Not applicable",
+      "sparse_operation_kit": "Not applicable",
+      "tensorrt": "8.5.1.7",
+      "tf": "Not applicable",
+      "timestamp_utc": "2023-03-14T14:55:59.518367",
+      "transformers4rec": "23.2.0",
+      "triton": "2.29.0"
     }
   },
   "nvcr.io/nvidia/merlin/merlin-pytorch-inference": {
@@ -1470,6 +1550,46 @@
       "timestamp_utc": "2023-01-04T15:16:17.274118",
       "transformers4rec": "0.1.16",
       "triton": "2.28.0"
+    },
+    "23.02": {
+      "base_container": "Triton version 22.12",
+      "compressedSize": "6.49 GB",
+      "cublas": "11.11.3.6",
+      "cuda": "11.8.0.065",
+      "cudf": "22.08.00a+304.g6ca81bbc78.dirty",
+      "cudnn": "8.7.0.84",
+      "cufft": "10.9.0.58",
+      "curand": "10.3.0.86",
+      "cusolver": "11.4.1.48",
+      "cusparse": "11.7.5.86",
+      "cutensor": "1.6.1.5",
+      "dgx_system": "* DGX-1\n* DGX-2\n* DGX A100\n* DGX Station",
+      "distributed_embeddings": "0.2.0",
+      "gpu_model": "* `NVIDIA Ampere GPU Architecture <https://www.nvidia.com/en-us/geforce/turing>`_\n* `Turing <https://www.nvidia.com/en-us/geforce/turing/>`_\n* `Volta <https://www.nvidia.com/en-us/data-center/volta-gpu-architecture/>`_\n* `Pascal <https://www.nvidia.com/en-us/data-center/pascal-gpu-architecture/>`_",
+      "hugectr": "Not applicable",
+      "hugectr2onnx": "Not applicable",
+      "merlin.core": "23.2.0",
+      "merlin.dataloader": "23.2.0",
+      "merlin.models": "23.2.0",
+      "merlin.systems": "23.2.0",
+      "nvidia_driver": "NVIDIA Driver version 465.19.01\nor later is required.  However,\nif you're running on Data Center\nGPUs (formerly Tesla) such as T4,\nyou can use any of the following\nNVIDIA Driver versions:\n\n* 418.40 (or later R418)\n* 440.33 (or later R440)\n* 450.51 (or later R450)\n* 460.27 (or later R460)\n\n**Note**: The CUDA Driver\nCompatibility Package does not\nsupport all drivers.",
+      "nvidia_pytorch": "Not applicable",
+      "nvidia_tensorflow": "Not applicable",
+      "nvtabular": "23.2.0",
+      "openmpi": "4.1.4",
+      "os": "Ubuntu 20.04.5 LTS",
+      "python_major": "3",
+      "pytorch": "Not applicable",
+      "release": "23.02",
+      "rmm": "22.08.00a+62.gf6bf047.dirty",
+      "size": "783.12 GB",
+      "sm": "Not applicable",
+      "sparse_operation_kit": "1.1.4",
+      "tensorrt": "8.5.1.7",
+      "tf": "2.10.1",
+      "timestamp_utc": "2023-03-14T14:55:26.656343",
+      "transformers4rec": "23.2.0",
+      "triton": "2.29.0"
     }
   },
   "nvcr.io/nvidia/merlin/merlin-tensorflow-inference": {