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Support matrix updates for 23.08 #1063

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120 changes: 120 additions & 0 deletions docs/data.json
Original file line number Diff line number Diff line change
Expand Up @@ -399,6 +399,46 @@
"timestamp_utc": "2023-06-29T07:26:25.583573",
"transformers4rec": "23.6.0",
"triton": "2.33.0"
},
"23.08": {
"base_container": "Triton version 23.06",
"compressedSize": "5.26 GB",
"cublas": "12.1.3.1",
"cuda": "12.1.1.009",
"cudf": "23.04.00",
"cudnn": "8.9.2.26",
"cufft": "11.0.2.54",
"curand": "10.3.2.106",
"cusolver": "11.4.5.107",
"cusparse": "12.1.0.106",
"cutensor": "1.7.0.1",
"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": "23.8.0",
"hugectr2onnx": "Not applicable",
"merlin.core": "23.8.0",
"merlin.dataloader": "23.8.0",
"merlin.models": "23.8.0",
"merlin.systems": "23.8.0",
"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": "23.8.0",
"openmpi": "4.1.5rc2",
"os": "Ubuntu 22.04.2 LTS",
"python_major": "3",
"pytorch": "Not applicable",
"release": "23.08",
"rmm": "23.04.00",
"size": "525.1 GB",
"sm": "70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90, 70, 75, 80, 90",
"sparse_operation_kit": "Not applicable",
"tensorrt": "8.6.1.6+cuda12.0.1.011",
"tf": "Not applicable",
"timestamp_utc": "2023-08-31T07:29:13.848524",
"transformers4rec": "23.8.0",
"triton": "2.35.0"
}
},
"nvcr.io/nvidia/merlin/merlin-inference": {
Expand Down Expand Up @@ -1115,6 +1155,46 @@
"timestamp_utc": "2023-06-29T07:25:52.907749",
"transformers4rec": "23.6.0",
"triton": "2.33.0"
},
"23.08": {
"base_container": "Triton version 23.06",
"compressedSize": "6.77 GB",
"cublas": "12.1.3.1",
"cuda": "12.1.1.009",
"cudf": "23.04.00",
"cudnn": "8.9.2.26",
"cufft": "11.0.2.54",
"curand": "10.3.2.106",
"cusolver": "11.4.5.107",
"cusparse": "12.1.0.106",
"cutensor": "1.7.0.1",
"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": "23.8.0",
"merlin.dataloader": "23.8.0",
"merlin.models": "23.8.0",
"merlin.systems": "23.8.0",
"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": "23.8.0",
"openmpi": "4.1.5rc2",
"os": "Ubuntu 22.04.2 LTS",
"python_major": "3",
"pytorch": "2.0.1",
"release": "23.08",
"rmm": "23.04.00",
"size": "528.11 GB",
"sm": "Not applicable",
"sparse_operation_kit": "Not applicable",
"tensorrt": "8.6.1.6+cuda12.0.1.011",
"tf": "Not applicable",
"timestamp_utc": "2023-08-31T07:28:34.716445",
"transformers4rec": "23.8.0",
"triton": "2.35.0"
}
},
"nvcr.io/nvidia/merlin/merlin-pytorch-inference": {
Expand Down Expand Up @@ -1950,6 +2030,46 @@
"timestamp_utc": "2023-06-29T07:25:15.869683",
"transformers4rec": "23.6.0",
"triton": "2.33.0"
},
"23.08": {
"base_container": "Triton version 23.06",
"compressedSize": "6.54 GB",
"cublas": "12.1.3.1",
"cuda": "12.1.1.009",
"cudf": "23.04.00",
"cudnn": "8.9.2.26",
"cufft": "11.0.2.54",
"curand": "10.3.2.106",
"cusolver": "11.4.5.107",
"cusparse": "12.1.0.106",
"cutensor": "1.7.0.1",
"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": "23.8.0",
"merlin.dataloader": "23.8.0",
"merlin.models": "23.8.0",
"merlin.systems": "23.8.0",
"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": "23.8.0",
"openmpi": "4.1.5rc2",
"os": "Ubuntu 22.04.2 LTS",
"python_major": "3",
"pytorch": "Not applicable",
"release": "23.08",
"rmm": "23.04.00",
"size": "528.47 GB",
"sm": "Not applicable",
"sparse_operation_kit": "1.2.0",
"tensorrt": "8.6.1.6+cuda12.0.1.011",
"tf": "2.12.0",
"timestamp_utc": "2023-08-31T07:27:48.736584",
"transformers4rec": "23.8.0",
"triton": "2.35.0"
}
},
"nvcr.io/nvidia/merlin/merlin-tensorflow-inference": {
Expand Down
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