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  • SUT ID: STAC220502
  • STAC-ML

STAC-ML Markets (Inference) Naive Implementation with ONNX on a 60-vCPU Sole-Tenant Cloud Node with 240 GiB Memory - Throughput-Optimized Configuration

Post date: 
Monday, May 9, 2022 - 21:00
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  • SUT ID: STAC220503
  • STAC-ML

STAC-ML Markets (Inference) Naive Implementation with ONNX on a 60-vCPU Sole-Tenant Cloud Node with 240 GiB Memory - Latency-Optimized Configuration

Post date: 
Monday, May 9, 2022 - 21:00
Read more
  • SUT ID: note220503
  • STAC-ML

STAC Research Note: Latency and Throughput Optimization for STAC-ML Markets (Inference)

Post date: 
Monday, May 9, 2022 - 21:00
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  • STAC-ML

STAC-ML Markets (Inference) Test Harness

Post date: 
Friday, March 18, 2022 - 00:25
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Speaker Biographies – Chicago, Spring 2022

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FPGA SIG Meeting - 25 Mar 2021

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Speaker Biographies–Global STAC Live, Spring 2021

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  • STAC-A3

STAC-A3 Pack for Python with RAPIDS

Post date: 
Wednesday, December 16, 2020 - 17:32
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  • STAC-A3

STAC-A3 Pack for Intel

Post date: 
Wednesday, December 16, 2020 - 16:54
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The trader of the future: Smarter, faster, and even more Pythonic

Dr John Ashley, General Manager, Financial Services and Technology, NVIDIA, presented this at the Global STAC Live, Fall 2020.

Watch the video below.

Q&A

Download the slides below.

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