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 use of machine learning (ML) to develop models is now commonplace in trading and investment. Whether the business imperative is reducing time to market for new algorithms, improving model quality, or reducing costs, financial firms have to offload major aspects of model development to machines in order to continue competing in the markets.