• Contact
  • Register
    (If you're a human, don't change the following field)
    Your first name.
    (If you're a human, don't change the following field)
    Your first name.

    Enter your email above, then click "Sign Up" to join the STAC mail list and (optionally) register to access materials on the site. Click for terms.

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

Audited

STAC-ML Markets (Inference), Sumaco suite

Stack under test:

  • STAC-ML™ Pack for Myrtle.ai VOLLO™ (Rev A)
  • Rust 1.16.0
  • VOLLO SDK 0.1.0
  • VOLLO Accelerator 0.1.0
  • Ubuntu Linux 22.04.1 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

Please log in to see file attachments. If you are not registered, you may register for no charge.

The STAC-ML Working Group develops benchmark standards for key machine learning (ML) workloads in finance. These benchmarks enable customers, vendors, and STAC to make apples-to-apples comparisons of techniques and technologies.

Read more

Related content

STAC Report: STAC-ML on Myrtle.ai VOLLO
View more