Merge pull request #6 from jonathan-cohen-nvidia/patch-1

Update dgx2h_n96_ngc19.05_mxnet.json
mlperf · Sep 4, 2019 · 8f51083 · 8f51083
2 parents d2995f6 + 4e08261
commit 8f51083
Showing 1 changed file with 1 addition and 1 deletion.
diff --git a/NVIDIA/systems/dgx2h_n96_ngc19.05_mxnet.json b/NVIDIA/systems/dgx2h_n96_ngc19.05_mxnet.json
@@ -1,7 +1,7 @@
 org: {"metadata": {"file": "mlperf_log_utils.py", "lineno": 231}, "value": "NVIDIA"}
 division: {"metadata": {"file": "mlperf_log_utils.py", "lineno": 235}, "value": "closed"}
 status: {"metadata": {"file": "mlperf_log_utils.py", "lineno": 239}, "value": "onprem"}
-platform: {"metadata": {"file": "mlperf_log_utils.py", "lineno": 243}, "value": "92xNVIDIA DGX-2H"}
+platform: {"metadata": {"file": "mlperf_log_utils.py", "lineno": 243}, "value": "96xNVIDIA DGX-2H"}
 entry: {"metadata": {"file": "mlperf_log_utils.py", "lineno": 247}, "value": "{'os': 'Ubuntu 18.04.1 LTS / NVIDIA DGX Server 4.0.4 4.0.5', 'notes': 'N/A', 'nodes': \"{'num_cores': '48', 'sys_mem_size': '1510 GB', 'cpu_accel_interconnect': 'UPI', 'accelerator': 'Tesla V100-SXM3-32GB-H', 'num_vcpus': '96', 'cpu': '2x Intel(R) Xeon(R) Platinum 8174 CPU @ 3.10GHz', 'num_network_cards': '10', 'num_accelerators': '16', 'num_nodes': '96', 'notes': '', 'sys_storage_type': 'NVMe SSD', 'sys_storage_size': '2x 894.3G + 8x 3.5T', 'network_card': 'Mellanox Technologies MT27800 Family [ConnectX-5]'}\", 'interconnect': 'InfiniBand 100 Gb/sec (4X EDR)', 'libraries': \"{'dali_version': '0.9.1', 'cudnn_version': '7.6.0.64', 'nccl_version': '2.4.6', 'cublas_version': '10.2.0.163', 'cuda_driver_version': '418.67', 'container_base': 'Ubuntu-16.04', 'mofed_version': '4.4-2.0.7', 'trt_version': '5.1.5.0', 'cuda_version': '10.1.163', 'openmpi_version': '3.1.3'}\", 'framework': 'MXNet NVIDIA Release 19.05', 'hardware': 'NVIDIA DGX-2H', 'power': 'N/A', 'compilers': 'gcc (Ubuntu 5.4.0-6ubuntu1~16.04.11) 5.4.0 20160609'}"}
 poc_name: {"metadata": {"file": "mlperf_log_utils.py", "lineno": 251}, "value": "Paulius Micikevicius"}
 poc_email: {"metadata": {"file": "mlperf_log_utils.py", "lineno": 255}, "value": "[email protected]"}