From affa03a55e3f620df46e457ebd630717d89f59be Mon Sep 17 00:00:00 2001 From: nvidia-merlin-bot <66438394+nvidia-merlin-bot@users.noreply.github.com> Date: Sat, 1 Oct 2022 07:40:38 -0700 Subject: [PATCH] Updates from containers --- docs/data.json | 122 +++++++++++++++++++++++++++++++++++++++++++++++-- 1 file changed, 118 insertions(+), 4 deletions(-) diff --git a/docs/data.json b/docs/data.json index a22fde56d..8fde2a112 100644 --- a/docs/data.json +++ b/docs/data.json @@ -75,7 +75,45 @@ "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", + "gpu_model": "* `NVIDIA Ampere GPU Architecture `_\n* `Turing `_\n* `Volta `_\n* `Pascal `_", + "hugectr": "4.0.0", + "hugectr2onnx": "Not applicable", + "merlin.core": "0.7.0", + "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": "15.7 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": "2022-10-01T14:38:54.757828", + "transformers4rec": "0.1.13", + "triton": "2.25.0" + } }, "nvcr.io/nvidia/merlin/merlin-inference": { "21.09": { @@ -451,7 +489,45 @@ "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", + "gpu_model": "* `NVIDIA Ampere GPU Architecture `_\n* `Turing `_\n* `Volta `_\n* `Pascal `_", + "hugectr": "Not applicable", + "hugectr2onnx": "Not applicable", + "merlin.core": "0.7.0", + "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": "16.59 GB", + "sm": "Not applicable", + "sparse_operation_kit": "Not applicable", + "tensorrt": "8.4.2.4+cuda11.6.2.010", + "tf": "Not applicable", + "timestamp_utc": "2022-10-01T14:39:43.705003", + "transformers4rec": "0.1.13", + "triton": "2.25.0" + } }, "nvcr.io/nvidia/merlin/merlin-pytorch-inference": { "22.03": { @@ -940,7 +1016,45 @@ "timestamp_utc": "2022-08-04T23:58:48.501533", "transformers4rec": "0.1.11+1.g3367d725", "triton": "2.23.0" - } + }, + "22.09": { + "base_container": "Triton version 22.08", + "compressedSize": "11.5 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", + "gpu_model": "* `NVIDIA Ampere GPU Architecture `_\n* `Turing `_\n* `Volta `_\n* `Pascal `_", + "hugectr": "Not applicable", + "hugectr2onnx": "Not applicable", + "merlin.core": "0.7.0", + "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": "17.29 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": "2022-10-01T14:40:35.357050", + "transformers4rec": "0.1.13", + "triton": "2.25.0" + } }, "nvcr.io/nvidia/merlin/merlin-tensorflow-inference": { "22.03": { @@ -1651,4 +1765,4 @@ "triton": "Not applicable" } } -} +} \ No newline at end of file