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STAC-ML™ Pack for Myrtle.ai VOLLO™ (Rev B) with 4 x BittWare IA-840f (Intel® Agilex™ AGF027 FPGA) Cards in a BittWare TeraBox™ 1402B Server

Type: Audited

Specs: STAC-ML Markets (Inference), Tacana suite

Stack under test:

  • STAC-ML™ Pack for Myrtle.ai VOLLO™ (Rev B)
  • Rust 1.65.0
  • VOLLO SDK 0.2.0
  • VOLLO Accelerator 0.2.0
  • Ubuntu Linux 20.04.5 LTS
  • BittWare TeraBox™ 1402B
    • 4 x BittWare IA-840f-0001, each with
      • 1 x Intel® Agilex™ AGF027 FPGA
      • 4 x 16 GiB DDR4 @ 2666 MHz – 64GiB total
    • 1 x Intel® Xeon® Platinum 8351N Processor @ 2.40 GHz
    • 4 x 8 GiB DDR4 (Micron 2933 MHz) – 32 GiB Total

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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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