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{
"nvcr.io/nvidia/merlin/merlin-hugectr": {
"22.06": {
"base_container": "Triton version 22.05",
"compressedSize": "6.57 GB",
"cublas": "11.10.1.25",
"cuda": "11.7.0.022",
"cudf": "22.4.0",
"cudnn": "8.4.0.27+cuda11.6",
"cufft": "10.7.2.50",
"curand": "10.2.10.50",
"cusolver": "11.3.5.50",
"cusparse": "11.7.3.50",
"cutensor": "1.5.0.3",
"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": "3.7.0",
"hugectr2onnx": "Not applicable",
"merlin.core": "0.4.0",
"merlin.dataloader": "Not applicable",
"merlin.models": "0.5.0+7.g886cf6de",
"merlin.systems": "0.3.0+1.g712b04d",
"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": "1.2.2",
"openmpi": "4.1.2rc4",
"os": "Ubuntu 20.04.4 LTS",
"python_major": "3",
"pytorch": "Not applicable",
"release": "22.06",
"rmm": "21.12.0",
"size": "13.95 GB",
"sm": "60, 61, 70, 75, 80",
"sparse_operation_kit": "Not applicable",
"tensorrt": "8.2.5.1+cuda11.4.2.006",
"tf": "Not applicable",
"timestamp_utc": "2022-08-05T00:32:25.856367",
"transformers4rec": "0.1.10",
"triton": "2.22.0"
},
"22.07": {
"base_container": "Triton version 22.05",
"compressedSize": "7.15 GB",
"cublas": "11.10.3.66",
"cuda": "11.7.1.014",
"cudf": "22.4.0",
"cudnn": "8.4.1.50+cuda11.6",
"cufft": "10.7.2.91",
"curand": "10.2.10.91",
"cusolver": "11.4.0.1",
"cusparse": "11.7.4.91",
"cutensor": "1.5.0.3",
"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": "3.8.0",
"hugectr2onnx": "Not applicable",
"merlin.core": "0.5.0+1.g1354dcf",
"merlin.dataloader": "Not applicable",
"merlin.models": "0.6.0+8.g042ee198",
"merlin.systems": "0.4.0+2.gf1e2bf5",
"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": "1.3.3+1.g32ed5fa12",
"openmpi": "4.1.2rc4",
"os": "Ubuntu 20.04.4 LTS",
"python_major": "3",
"pytorch": "Not applicable",
"release": "22.07",
"rmm": "21.12.0",
"size": "14.61 GB",
"sm": "60, 61, 70, 75, 80",
"sparse_operation_kit": "Not applicable",
"tensorrt": "8.2.5.1+cuda11.4.2.006",
"tf": "Not applicable",
"timestamp_utc": "2022-08-04T23:57:07.911933",
"transformers4rec": "0.1.11+1.g3367d725",
"triton": "2.23.0"
},
"22.09": {
"base_container": "Triton version 22.08",
"compressedSize": "10.83 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": "4.0.0",
"hugectr2onnx": "Not applicable",
"merlin.core": "0.7.0",
"merlin.dataloader": "Not applicable",
"merlin.models": "0.8.0",
"merlin.systems": "0.6.0",
"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": "1.5.0",
"openmpi": "4.1.2rc4",
"os": "Ubuntu 20.04.4 LTS",
"python_major": "3",
"pytorch": "Not applicable",
"release": "22.09",
"rmm": "22.06.00a+76.g185c18e6",
"size": "143.4 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": "2022-10-28T17:53:57.770226",
"transformers4rec": "0.1.13",
"triton": "2.25.0"
},
"22.10": {
"base_container": "Triton version 22.08",
"compressedSize": "11.49 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": "0.8.0",
"merlin.dataloader": "Not applicable",
"merlin.models": "0.9.0",
"merlin.systems": "0.7.0",
"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": "1.6.0",
"openmpi": "4.1.2rc4",
"os": "Ubuntu 20.04.4 LTS",
"python_major": "3",
"pytorch": "Not applicable",
"release": "22.10",
"rmm": "22.06.00a+76.g185c18e6",
"size": "529.88 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": "2022-11-02T15:29:06.787067",
"transformers4rec": "0.1.14",
"triton": "2.25.0"
}
},
"nvcr.io/nvidia/merlin/merlin-inference": {
"21.09": {
"base_container": "Triton version 21.07",
"compressedSize": "14.82 GB",
"cublas": "11.5.2.43",
"cuda": "11.4.0.031",
"cudf": "21.8.2",
"cudnn": "8.2.2.26",
"cufft": "10.5.0.43",
"curand": "10.2.5.43",
"cusolver": "11.2.0.43",
"cusparse": "11.6.0.43",
"cutensor": "Not applicable",
"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": "Not applicable",
"merlin.dataloader": "Not applicable",
"merlin.models": "Not applicable",
"merlin.systems": "Not applicable",
"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": "0.7.0",
"openmpi": "4.1.1rc1",
"os": "Ubuntu 20.04.3 LTS",
"python_major": "3",
"pytorch": "1.9.1",
"release": "21.09",
"rmm": "21.8.2",
"size": "25.32 GB",
"sm": "Not applicable",
"sparse_operation_kit": "Not applicable",
"tensorrt": "8.0.1.6+cuda11.3.1.005",
"tf": "Not applicable",
"transformers4rec": "0.1.1",
"triton": "2.12.0"
},
"21.11": {
"base_container": "Triton version 21.10",
"compressedSize": "12.91 GB",
"cublas": "11.6.5.2",
"cuda": "11.4.3.001",
"cudf": "21.8.3",
"cudnn": "8.2.4.15",
"cufft": "10.5.2.100",
"curand": "10.2.5.120",
"cusolver": "11.2.0.120",
"cusparse": "11.6.0.120",
"cutensor": "1.3.2.3",
"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": "Not applicable",
"merlin.dataloader": "Not applicable",
"merlin.models": "Not applicable",
"merlin.systems": "Not applicable",
"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": "0.7.1",
"openmpi": "4.1.1",
"os": "Ubuntu 20.04.3 LTS",
"python_major": "3",
"pytorch": "1.10.0",
"release": "21.11",
"rmm": "21.8.2",
"size": "22.98 GB",
"sm": "Not applicable",
"sparse_operation_kit": "Not applicable",
"tensorrt": "8.0.3.4+cuda11.3.1.005",
"tf": "2.6.2",
"transformers4rec": "0.1.2",
"triton": "2.15.0"
},
"21.12": {
"base_container": "Triton version 21.10",
"compressedSize": "14.77 GB",
"cublas": "11.7.3.1",
"cuda": "11.5.0.029",
"cudf": "21.8.3",
"cudnn": "8.3.0.96",
"cufft": "10.6.0.54",
"curand": "10.2.6.48",
"cusolver": "11.2.1.48",
"cusparse": "11.7.0.31",
"cutensor": "1.3.2.3",
"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": "Not applicable",
"merlin.dataloader": "Not applicable",
"merlin.models": "Not applicable",
"merlin.systems": "Not applicable",
"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": "0.8.0",
"openmpi": "4.1.1",
"os": "Ubuntu 20.04.3 LTS",
"python_major": "3",
"pytorch": "1.10.0",
"release": "21.12",
"rmm": "21.8.2",
"size": "24.92 GB",
"sm": "Not applicable",
"sparse_operation_kit": "Not applicable",
"tensorrt": "8.0.3.4+cuda11.3.1.005",
"tf": "2.6.2",
"transformers4rec": "0.1.3",
"triton": "2.16.0"
},
"22.01": {
"base_container": "Triton version 21.12",
"compressedSize": "12.99 GB",
"cublas": "11.7.3.1",
"cuda": "11.5.0.029",
"cudf": "21.10.0a0+345.ge05bd4bf3c.dirty",
"cudnn": "8.3.1.22",
"cufft": "10.6.0.54",
"curand": "10.2.6.48",
"cusolver": "11.2.1.48",
"cusparse": "11.7.0.31",
"cutensor": "1.3.3.2",
"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": "Not applicable",
"merlin.dataloader": "Not applicable",
"merlin.models": "Not applicable",
"merlin.systems": "Not applicable",
"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": "0.9.0+1.g31f9350",
"openmpi": "4.1.1",
"os": "Ubuntu 20.04.3 LTS",
"python_major": "3",
"pytorch": "1.10.1",
"release": "22.01",
"rmm": "21.10.0a0+42.gae27a57",
"size": "23.55 GB",
"sm": "Not applicable",
"sparse_operation_kit": "Not applicable",
"tensorrt": "8.2.1.8+cuda11.4.2.006",
"tf": "2.6.2",
"transformers4rec": "0.1.4",
"triton": "2.17.0"
},
"22.02": {
"base_container": "Triton version 22.01",
"compressedSize": "9.97 GB",
"cublas": "11.8.1.74",
"cuda": "11.6.0.020",
"cudf": "21.12.2",
"cudnn": "8.3.2.44+cuda11.5",
"cufft": "10.7.0.55",
"curand": "10.2.9.55",
"cusolver": "11.3.2.55",
"cusparse": "11.7.1.55",
"cutensor": "1.4.0.6",
"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": "Not applicable",
"merlin.dataloader": "Not applicable",
"merlin.models": "0.1.0",
"merlin.systems": "Not applicable",
"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": "0.10.0",
"openmpi": "4.1.1",
"os": "Ubuntu 20.04.3 LTS",
"python_major": "3",
"pytorch": "1.10.2",
"release": "22.02",
"rmm": "21.12.0",
"size": "21.47 GB",
"sm": "Not applicable",
"sparse_operation_kit": "Not applicable",
"tensorrt": "8.2.2.1+cuda11.4.2.006",
"tf": "Not applicable",
"transformers4rec": "0.1.4",
"triton": "2.18.0"
},
"22.03": {
"base_container": "Triton version 22.02",
"compressedSize": "4.69 GB",
"cublas": "11.8.1.74",
"cuda": "11.6.0.021",
"cudf": "21.12.2",
"cudnn": "8.3.2.44+cuda11.5",
"cufft": "10.7.0.55",
"curand": "10.2.9.55",
"cusolver": "11.3.2.55",
"cusparse": "11.7.1.55",
"cutensor": "1.4.0.6",
"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": "0.1.1+12.g53b1ffc",
"merlin.dataloader": "Not applicable",
"merlin.models": "0.2.0+15.gde29f68",
"merlin.systems": "0+untagged.9.gccd0e15",
"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": "0.11.0+20.gafa0e43",
"openmpi": "4.1.2rc4",
"os": "Ubuntu 20.04.3 LTS",
"python_major": "3",
"pytorch": "Not applicable",
"release": "22.03",
"rmm": "21.12.0",
"size": "10.67 GB",
"sm": "Not applicable",
"sparse_operation_kit": "Not applicable",
"tensorrt": "8.2.3.0+cuda11.4.2.006",
"tf": "Not applicable",
"transformers4rec": "0.1.6+4.ga153d6d",
"triton": "2.19.0"
},
"22.04": {
"base_container": "Triton version 22.03",
"compressedSize": "4.85 GB",
"cublas": "11.8.1.74",
"cuda": "11.6.1.005",
"cudf": "22.2.0",
"cudnn": "8.3.3.40+cuda11.5",
"cufft": "10.7.1.112",
"curand": "10.2.9.55",
"cusolver": "11.3.3.112",
"cusparse": "11.7.2.112",
"cutensor": "1.5.0.1",
"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": "0.2.0",
"merlin.dataloader": "Not applicable",
"merlin.models": "0.3.0",
"merlin.systems": "0.1.0",
"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": "1.0.0",
"openmpi": "4.1.2rc4",
"os": "Ubuntu 20.04.4 LTS",
"python_major": "3",
"pytorch": "Not applicable",
"release": "22.04",
"rmm": "21.12.0",
"size": "10.92 GB",
"sm": "Not applicable",
"sparse_operation_kit": "Not applicable",
"tensorrt": "8.2.3.0+cuda11.4.2.006",
"tf": "Not applicable",
"transformers4rec": "0.1.7",
"triton": "2.20.0"
},
"22.05": {
"base_container": "Triton version 22.03",
"compressedSize": "5.54 GB",
"cublas": "11.8.1.74",
"cuda": "11.6.1.005",
"cudf": "22.2.0",
"cudnn": "8.3.3.40+cuda11.5",
"cufft": "10.7.1.112",
"curand": "10.2.9.55",
"cusolver": "11.3.3.112",
"cusparse": "11.7.2.112",
"cutensor": "1.5.0.1",
"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": "0.3.0",
"merlin.dataloader": "Not applicable",
"merlin.models": "0.4.0",
"merlin.systems": "0.2.0",
"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": "1.1.1",
"openmpi": "4.1.2rc4",
"os": "Ubuntu 20.04.4 LTS",
"python_major": "3",
"pytorch": "Not applicable",
"release": "22.05",
"rmm": "21.12.0",
"size": "12.04 GB",
"sm": "Not applicable",
"sparse_operation_kit": "Not applicable",
"tensorrt": "8.2.3.0+cuda11.4.2.006",
"tf": "Not applicable",
"transformers4rec": "0.1.8",
"triton": "2.20.0"
}
},
"nvcr.io/nvidia/merlin/merlin-pytorch": {
"22.06": {
"base_container": "Triton version 22.05",
"compressedSize": "6.68 GB",
"cublas": "11.10.1.25",
"cuda": "11.7.0.022",
"cudf": "22.4.0",
"cudnn": "8.4.0.27+cuda11.6",
"cufft": "10.7.2.50",
"curand": "10.2.10.50",
"cusolver": "11.3.5.50",
"cusparse": "11.7.3.50",
"cutensor": "1.5.0.3",
"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": "0.4.0",
"merlin.dataloader": "Not applicable",
"merlin.models": "0.5.0+7.g886cf6de",
"merlin.systems": "0.3.0+1.g712b04d",
"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": "1.2.2",
"openmpi": "4.1.2rc4",
"os": "Ubuntu 20.04.4 LTS",
"python_major": "3",
"pytorch": "1.11.0",
"release": "22.06",
"rmm": "21.12.0",
"size": "14.81 GB",
"sm": "Not applicable",
"sparse_operation_kit": "Not applicable",
"tensorrt": "8.2.5.1+cuda11.4.2.006",
"tf": "Not applicable",
"timestamp_utc": "2022-08-05T00:33:14.702653",
"transformers4rec": "0.1.10",
"triton": "2.22.0"
},
"22.07": {
"base_container": "Triton version 22.05",
"compressedSize": "7.18 GB",
"cublas": "11.10.3.66",
"cuda": "11.7.1.014",
"cudf": "22.4.0",
"cudnn": "8.4.1.50+cuda11.6",
"cufft": "10.7.2.91",
"curand": "10.2.10.91",
"cusolver": "11.4.0.1",
"cusparse": "11.7.4.91",
"cutensor": "1.5.0.3",
"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": "0.5.0+1.g1354dcf",
"merlin.dataloader": "Not applicable",
"merlin.models": "0.6.0+4.g046077b8",
"merlin.systems": "0.4.0+1.g07bf4ab",
"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": "1.3.3+1.g32ed5fa12",
"openmpi": "4.1.2rc4",
"os": "Ubuntu 20.04.4 LTS",
"python_major": "3",
"pytorch": "1.12.0",
"release": "22.07",
"rmm": "21.12.0",
"size": "15.37 GB",
"sm": "Not applicable",
"sparse_operation_kit": "Not applicable",
"tensorrt": "8.2.5.1+cuda11.4.2.006",
"tf": "Not applicable",
"timestamp_utc": "2022-08-04T23:57:56.644686",
"transformers4rec": "0.1.11",
"triton": "2.23.0"
},
"22.09": {
"base_container": "Triton version 22.08",
"compressedSize": "10.35 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": "0.7.0",
"merlin.dataloader": "Not applicable",
"merlin.models": "0.8.0",
"merlin.systems": "0.6.0",
"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": "1.5.0",
"openmpi": "4.1.2rc4",
"os": "Ubuntu 20.04.4 LTS",
"python_major": "3",
"pytorch": "1.12.1",
"release": "22.09",
"rmm": "22.06.00a+76.g185c18e6",
"size": "144.29 GB",
"sm": "Not applicable",
"sparse_operation_kit": "Not applicable",
"tensorrt": "8.4.2.4+cuda11.6.2.010",
"tf": "Not applicable",
"timestamp_utc": "2022-10-28T17:54:55.225705",
"transformers4rec": "0.1.13",
"triton": "2.25.0"
},
"22.10": {
"base_container": "Triton version 22.08",
"compressedSize": "10.96 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": "0.8.0",
"merlin.dataloader": "Not applicable",
"merlin.models": "0.9.0",
"merlin.systems": "0.7.0",
"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": "1.6.0",
"openmpi": "4.1.2rc4",
"os": "Ubuntu 20.04.4 LTS",
"python_major": "3",
"pytorch": "1.12.1",
"release": "22.10",
"rmm": "22.06.00a+76.g185c18e6",
"size": "530.72 GB",
"sm": "Not applicable",
"sparse_operation_kit": "Not applicable",
"tensorrt": "8.4.2.4+cuda11.6.2.010",
"tf": "Not applicable",
"timestamp_utc": "2022-11-02T15:30:00.672800",
"transformers4rec": "0.1.14",
"triton": "2.25.0"
}
},
"nvcr.io/nvidia/merlin/merlin-pytorch-inference": {
"22.03": {
"base_container": "Triton version 22.02",
"compressedSize": "4.77 GB",
"cublas": "11.8.1.74",
"cuda": "11.6.0.021",
"cudf": "21.12.2",
"cudnn": "8.3.2.44+cuda11.5",
"cufft": "10.7.0.55",
"curand": "10.2.9.55",
"cusolver": "11.3.2.55",
"cusparse": "11.7.1.55",
"cutensor": "1.4.0.6",
"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": "0.1.1+3.gee1d59d",
"merlin.dataloader": "Not applicable",
"merlin.models": "0.2.0",
"merlin.systems": "Not applicable",
"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": "0.11.0",
"openmpi": "4.1.2rc4",
"os": "Ubuntu 20.04.3 LTS",
"python_major": "3",
"pytorch": "Not applicable",
"release": "22.03",
"rmm": "21.12.0",
"size": "11.14 GB",
"sm": "Not applicable",
"sparse_operation_kit": "Not applicable",
"tensorrt": "8.2.3.0+cuda11.4.2.006",
"tf": "Not applicable",
"transformers4rec": "0.1.6",
"triton": "2.19.0"
},
"22.04": {
"base_container": "Triton version 22.03",
"compressedSize": "4.87 GB",
"cublas": "11.8.1.74",
"cuda": "11.6.1.005",
"cudf": "22.2.0",
"cudnn": "8.3.3.40+cuda11.5",
"cufft": "10.7.1.112",
"curand": "10.2.9.55",
"cusolver": "11.3.3.112",
"cusparse": "11.7.2.112",
"cutensor": "1.5.0.1",
"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": "0.2.0",
"merlin.dataloader": "Not applicable",
"merlin.models": "0.3.0",
"merlin.systems": "0.1.0",
"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": "1.0.0",
"openmpi": "4.1.2rc4",
"os": "Ubuntu 20.04.4 LTS",
"python_major": "3",
"pytorch": "Not applicable",
"release": "22.04",
"rmm": "21.12.0",
"size": "11.24 GB",
"sm": "Not applicable",
"sparse_operation_kit": "Not applicable",
"tensorrt": "8.2.3.0+cuda11.4.2.006",
"tf": "Not applicable",
"transformers4rec": "0.1.7",
"triton": "2.20.0"
},
"22.05": {
"base_container": "Triton version 22.04",
"compressedSize": "6.63 GB",
"cublas": "11.9.3.115",
"cuda": "11.6.2.010",
"cudf": "22.2.0",
"cudnn": "8.4.0.27",
"cufft": "10.7.2.124",
"curand": "10.2.9.124",
"cusolver": "11.3.4.124",
"cusparse": "11.7.2.124",
"cutensor": "1.5.0.3",
"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": "0.3.0",
"merlin.dataloader": "Not applicable",
"merlin.models": "0.4.0",
"merlin.systems": "0.2.0",
"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": "1.1.1",
"openmpi": "4.1.2rc4",
"os": "Ubuntu 20.04.4 LTS",
"python_major": "3",
"pytorch": "1.11.0+cu113",
"release": "22.05",
"rmm": "21.12.0",
"size": "14.37 GB",
"sm": "Not applicable",
"sparse_operation_kit": "Not applicable",
"tensorrt": "8.2.4.2+cuda11.4.2.006",
"tf": "Not applicable",
"transformers4rec": "0.1.8",
"triton": "2.21.0"
}
},
"nvcr.io/nvidia/merlin/merlin-pytorch-training": {
"21.09": {
"base_container": "nvcr.io/nvidia/pytorch:21.07-py3",
"compressedSize": "8.46 GB",
"cublas": "11.5.2.43",
"cuda": "11.4.0.031",
"cudf": "21.8.3",
"cudnn": "8.2.2.26",
"cufft": "10.5.0.43",
"curand": "10.2.5.43",
"cusolver": "11.2.0.43",
"cusparse": "11.6.0.43",
"cutensor": "Not applicable",
"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": "Not applicable",
"merlin.dataloader": "Not applicable",
"merlin.models": "Not applicable",
"merlin.systems": "Not applicable",
"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": "21.07",
"nvidia_tensorflow": "Not applicable",
"nvtabular": "0.7.0+1.g2aa56e5",
"openmpi": "4.1.1rc1",
"os": "Ubuntu 20.04.3 LTS",
"python_major": "3",
"pytorch": "1.9.1",
"release": "21.09",
"rmm": "21.8.2",
"size": "17.52 GB",
"sm": "Not applicable",
"sparse_operation_kit": "Not applicable",
"tensorrt": "8.0.1.6+cuda11.3.1.005",
"tf": "Not applicable",
"transformers4rec": "0.1.1",
"triton": "Not applicable"
},
"21.11": {
"base_container": "nvcr.io/nvidia/pytorch:21.10-py3",
"compressedSize": "6.65 GB",
"cublas": "11.6.5.2",
"cuda": "11.4.3.001",
"cudf": "21.8.3",
"cudnn": "8.2.4.15",
"cufft": "10.5.2.100",
"curand": "10.2.5.120",
"cusolver": "11.2.0.120",
"cusparse": "11.6.0.120",
"cutensor": "1.3.2.3",
"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": "Not applicable",
"merlin.dataloader": "Not applicable",
"merlin.models": "Not applicable",
"merlin.systems": "Not applicable",
"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": "21.10",
"nvidia_tensorflow": "Not applicable",
"nvtabular": "0.7.1",
"openmpi": "4.1.1",
"os": "Ubuntu 20.04.3 LTS",
"python_major": "3",
"pytorch": "1.10.0a0+0aef44c",
"release": "21.11",
"rmm": "21.8.2",
"size": "15.32 GB",
"sm": "Not applicable",
"sparse_operation_kit": "Not applicable",
"tensorrt": "8.0.3.4+cuda11.3.1.005",
"tf": "Not applicable",
"transformers4rec": "0.1.2",
"triton": "Not applicable"
},
"21.12": {
"base_container": "nvcr.io/nvidia/pytorch:21.11-py3",
"compressedSize": "7.01 GB",
"cublas": "11.7.3.1",
"cuda": "11.5.0.029",
"cudf": "0+untagged.1.g0a00579",
"cudnn": "8.3.0.96",
"cufft": "10.6.0.54",
"curand": "10.2.6.48",
"cusolver": "11.2.1.48",
"cusparse": "11.7.0.31",
"cutensor": "1.3.2.3",
"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": "Not applicable",
"merlin.dataloader": "Not applicable",
"merlin.models": "Not applicable",
"merlin.systems": "Not applicable",
"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": "21.11",
"nvidia_tensorflow": "Not applicable",
"nvtabular": "0.8.0",
"openmpi": "4.1.1",
"os": "Ubuntu 20.04.3 LTS",
"python_major": "3",
"pytorch": "1.11.0a0+b6df043",
"release": "21.12",
"rmm": "0+untagged.1.gccd9647",
"size": "15.77 GB",
"sm": "Not applicable",
"sparse_operation_kit": "Not applicable",
"tensorrt": "8.0.3.4+cuda11.3.1.005",
"tf": "Not applicable",
"transformers4rec": "0.1.3",
"triton": "Not applicable"
},
"22.01": {
"base_container": "nvcr.io/nvidia/pytorch:21.12-py3",
"compressedSize": "7.02 GB",
"cublas": "11.7.3.1",
"cuda": "11.5.0.029",
"cudf": "0+untagged.1.ge05bd4b",
"cudnn": "8.3.1.22",
"cufft": "10.6.0.54",
"curand": "10.2.6.48",
"cusolver": "11.2.1.48",
"cusparse": "11.7.0.31",
"cutensor": "1.3.3.2",
"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": "Not applicable",
"merlin.dataloader": "Not applicable",
"merlin.models": "Not applicable",
"merlin.systems": "Not applicable",
"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": "21.12",
"nvidia_tensorflow": "Not applicable",
"nvtabular": "0.9.0+1.g31f9350",
"openmpi": "4.1.1",
"os": "Ubuntu 20.04.3 LTS",
"python_major": "3",
"pytorch": "1.11.0a0+b6df043",
"release": "22.01",
"rmm": "0+untagged.1.gae27a57",
"size": "16.2 GB",
"sm": "Not applicable",
"sparse_operation_kit": "Not applicable",
"tensorrt": "8.2.1.8+cuda11.4.2.006",
"tf": "Not applicable",
"transformers4rec": "0.1.4",
"triton": "Not applicable"
},
"22.02": {
"base_container": "nvcr.io/nvidia/pytorch:22.01-py3",
"compressedSize": "7.01 GB",
"cublas": "11.8.1.74",
"cuda": "11.6.0.020",
"cudf": "21.12.0a0+293.g0930f712e6",
"cudnn": "8.3.2.44+cuda11.5",
"cufft": "10.7.0.55",
"curand": "10.2.9.55",
"cusolver": "11.3.2.55",
"cusparse": "11.7.1.55",
"cutensor": "1.4.0.6",
"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": "Not applicable",
"merlin.dataloader": "Not applicable",
"merlin.models": "0.1.0",
"merlin.systems": "Not applicable",
"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": "22.01",
"nvidia_tensorflow": "Not applicable",
"nvtabular": "0.10.0",
"openmpi": "4.1.1",
"os": "Ubuntu 20.04.3 LTS",
"python_major": "3",
"pytorch": "1.11.0a0+bfe5ad2",
"release": "22.02",
"rmm": "21.12.0a0+31.g0acbd51",
"size": "16.21 GB",
"sm": "Not applicable",
"sparse_operation_kit": "Not applicable",
"tensorrt": "8.2.2.1+cuda11.4.2.006",
"tf": "Not applicable",
"transformers4rec": "0.1.4",
"triton": "Not applicable"
},
"22.03": {
"base_container": "nvcr.io/nvidia/pytorch:22.02-py3",
"compressedSize": "6.8 GB",
"cublas": "11.8.1.74",
"cuda": "11.6.0.021",
"cudf": "21.12.0a0+293.g0930f712e6",
"cudnn": "8.3.2.44+cuda11.5",
"cufft": "10.7.0.55",
"curand": "10.2.9.55",
"cusolver": "11.3.2.55",
"cusparse": "11.7.1.55",
"cutensor": "1.4.0.6",
"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": "0.1.1+3.gee1d59d",
"merlin.dataloader": "Not applicable",
"merlin.models": "0.2.0",
"merlin.systems": "Not applicable",
"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": "22.02",
"nvidia_tensorflow": "Not applicable",
"nvtabular": "0.11.0",
"openmpi": "4.1.2rc4",
"os": "Ubuntu 20.04.3 LTS",
"python_major": "3",
"pytorch": "1.11.0a0+17540c5",
"release": "22.03",
"rmm": "21.12.0a0+31.g0acbd51",
"size": "15.32 GB",
"sm": "Not applicable",
"sparse_operation_kit": "Not applicable",
"tensorrt": "8.2.3.0+cuda11.4.2.006",
"tf": "Not applicable",
"transformers4rec": "0.1.6",
"triton": "Not applicable"
},
"22.04": {
"base_container": "nvcr.io/nvidia/pytorch:22.03-py3",
"compressedSize": "6.95 GB",
"cublas": "11.8.1.74",
"cuda": "11.6.1.005",
"cudf": "22.2.0a0+309.gdad51a548e",
"cudnn": "8.3.3.40+cuda11.5",