Updates from containers (#747)

NVIDIA-Merlin · Nov 28, 2022 · 3e2f8fe · 3e2f8fe
1 parent 653480c
commit 3e2f8fe
Showing 1 changed file with 121 additions and 1 deletion.
diff --git a/docs/data.json b/docs/data.json
@@ -159,6 +159,46 @@
       "timestamp_utc": "2022-11-02T15:29:06.787067",
       "transformers4rec": "0.1.14",
       "triton": "2.25.0"
+    },
+    "22.11": {
+      "base_container": "Triton version 22.08",
+      "compressedSize": "10.26 GB",
+      "cublas": "11.10.3.66",
+      "cuda": "11.7.1.017",
+      "cudf": "22.06.00a+319.g97422602b8",
+      "cudnn": "8.5.0.96",
+      "cufft": "10.7.2.91",
+      "curand": "10.2.10.91",
+      "cusolver": "11.4.0.1",
+      "cusparse": "11.7.4.91",
+      "cutensor": "1.6.0.2",
+      "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": "4.1.1",
+      "hugectr2onnx": "Not applicable",
+      "merlin.core": "0.9.0",
+      "merlin.dataloader": "0.0.3",
+      "merlin.models": "0.10.0",
+      "merlin.systems": "0.8.0",
+      "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": "1.7.0",
+      "openmpi": "4.1.2rc4",
+      "os": "Ubuntu 20.04.4 LTS",
+      "python_major": "3",
+      "pytorch": "Not applicable",
+      "release": "22.11",
+      "rmm": "22.06.00a+76.g185c18e6",
+      "size": "528.6 GB",
+      "sm": "60, 61, 70, 75, 80",
+      "sparse_operation_kit": "Not applicable",
+      "tensorrt": "8.4.2.4+cuda11.6.2.010",
+      "tf": "Not applicable",
+      "timestamp_utc": "2022-11-28T18:06:50.816796",
+      "transformers4rec": "0.1.15",
+      "triton": "2.25.0"
     }
   },
   "nvcr.io/nvidia/merlin/merlin-inference": {
@@ -635,6 +675,46 @@
       "timestamp_utc": "2022-11-02T15:30:00.672800",
       "transformers4rec": "0.1.14",
       "triton": "2.25.0"
+    },
+    "22.11": {
+      "base_container": "Triton version 22.08",
+      "compressedSize": "9.76 GB",
+      "cublas": "11.10.3.66",
+      "cuda": "11.7.1.017",
+      "cudf": "22.06.00a+319.g97422602b8",
+      "cudnn": "8.5.0.96",
+      "cufft": "10.7.2.91",
+      "curand": "10.2.10.91",
+      "cusolver": "11.4.0.1",
+      "cusparse": "11.7.4.91",
+      "cutensor": "1.6.0.2",
+      "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": "0.9.0",
+      "merlin.dataloader": "0.0.3",
+      "merlin.models": "0.10.0",
+      "merlin.systems": "0.8.0",
+      "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": "1.7.0",
+      "openmpi": "4.1.2rc4",
+      "os": "Ubuntu 20.04.4 LTS",
+      "python_major": "3",
+      "pytorch": "1.13.0",
+      "release": "22.11",
+      "rmm": "22.06.00a+76.g185c18e6",
+      "size": "529.42 GB",
+      "sm": "Not applicable",
+      "sparse_operation_kit": "Not applicable",
+      "tensorrt": "8.4.2.4+cuda11.6.2.010",
+      "tf": "Not applicable",
+      "timestamp_utc": "2022-11-28T18:07:35.439806",
+      "transformers4rec": "0.1.15",
+      "triton": "2.25.0"
     }
   },
   "nvcr.io/nvidia/merlin/merlin-pytorch-inference": {
@@ -1230,6 +1310,46 @@
       "timestamp_utc": "2022-11-02T15:31:01.538735",
       "transformers4rec": "0.1.14",
       "triton": "2.25.0"
+    },
+    "22.11": {
+      "base_container": "Triton version 22.08",
+      "compressedSize": "10.97 GB",
+      "cublas": "11.10.3.66",
+      "cuda": "11.7.1.017",
+      "cudf": "22.06.00a+319.g97422602b8",
+      "cudnn": "8.5.0.96",
+      "cufft": "10.7.2.91",
+      "curand": "10.2.10.91",
+      "cusolver": "11.4.0.1",
+      "cusparse": "11.7.4.91",
+      "cutensor": "1.6.0.2",
+      "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": "0.9.0",
+      "merlin.dataloader": "0.0.3",
+      "merlin.models": "0.10.0",
+      "merlin.systems": "0.8.0",
+      "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": "1.7.0",
+      "openmpi": "4.1.2rc4",
+      "os": "Ubuntu 20.04.4 LTS",
+      "python_major": "3",
+      "pytorch": "Not applicable",
+      "release": "22.11",
+      "rmm": "22.06.00a+76.g185c18e6",
+      "size": "530.27 GB",
+      "sm": "Not applicable",
+      "sparse_operation_kit": "1.1.4",
+      "tensorrt": "8.4.2.4+cuda11.6.2.010",
+      "tf": "2.9.1",
+      "timestamp_utc": "2022-11-28T18:08:28.685838",
+      "transformers4rec": "0.1.15",
+      "triton": "2.25.0"
     }
   },
   "nvcr.io/nvidia/merlin/merlin-tensorflow-inference": {
@@ -1979,4 +2099,4 @@
       "triton": "Not applicable"
     }
   }
-}
+}