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Related content

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

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

Posted May 9, 2022

Introducing STAC-ML Markets (Inference)

A new benchmark for machine learning inference

Posted May 9, 2022

STAC Report: Amazon io2 Block Express and kdb+ 4.0 (tick analytics)

First Amazon-engineered STAC-M3 solution.

SUT ID: KDB220410
STAC-M3

kdb+ 4.0 on 8 x Amazon EC2 x2iedn.32xlarge instances and Amazon Elastic Block Store (io2 Block Express)

Post date:

Monday, May 9, 2022 - 12:00

kdb+ 4.0 on 12 x Google Compute Engine N2 VM instances each with 32 Intel 2nd Gen Xeon Scalable (Cascade Lake) vCPUs using NVMe SSDs

Post date:

Monday, May 9, 2022 - 01:00

The STAC-AI Working Group focuses on benchmarking artificial intelligence (AI) technologies in finance. This includes deep learning, large language models (LLMs), and other AI-driven approaches that help firms unlock new efficiencies and insights.