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STAC-ML™ Pack for CUDA and cuDNN with 1 x NVIDIA A100 80GB PCIe GPU in a Supermicro SYS-620U-TNR Server, throughput-optimized for STAC-ML Sumaco Suite

Type: Audited

Specs: STAC-ML™ Markets (Inference) Benchmarks (Sumaco suite)

Stack under test:

  • STAC-ML™ Pack for CUDA and cuDNN (Rev A)
  • NVIDIA CUDA Toolkit 11.7
  • NVIDIA CUDA Deep Neural Network library (cuDNN) 8.4.1.50
  • gcc 9.4.0
  • Ubuntu 20.04.5 LTS
  • Supermicro Ultra SuperServer® SYS-620U-TNR
    • 1 x NVIDIA A100 80GB PCIe Tensor Core GPU
    • 2 x Intel® Xeon® Gold 6354 CPU @ 3.00GHz
    • 16 x 32 GiB DDR4 @ 3200 MHz - 512GiB total memory

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The STAC-ML Working Group develops and promotes benchmark standards for key machine learning (ML) workloads in finance (in which we include "AI"). This enables customers, vendors, and STAC to make apples-to-apples comparisons of techniques and technologies.

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