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kdb+ 4.0 Cloud Edition on 16 x GIGABYTE H262-Z62 servers each with 2 x AMD EPYC 7763 CPUs accessing 2 x DDN AI400X2 All-Flash appliances via EXAScaler 6.1.0

Post date: 
Saturday, October 29, 2022 - 16:03
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STAC-ML Markets (Inference) Naive Implementation with ONNX on a 60-vCPU Sole-Tenant Cloud Node with 240 GiB Memory - Throughput-Optimized Configuration

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Monday, May 9, 2022 - 21:00
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STAC-ML Markets (Inference) Naive Implementation with ONNX on a 60-vCPU Sole-Tenant Cloud Node with 240 GiB Memory - Latency-Optimized Configuration

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Monday, May 9, 2022 - 21:00
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kdb+ 4.0 on 8 x Amazon EC2 x2iedn.32xlarge instances and Amazon Elastic Block Store (io2 Block Express)

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Monday, May 9, 2022 - 12:00
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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

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Monday, May 9, 2022 - 01:00
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Raft Technologies

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STAC-A2 Pack for Intel oneAPI (Rev N) on 10 x c2-standard-60 Google Cloud VM Instances each with 60 Intel® 2nd Generation Xeon® (Cascade Lake) vCPUs and 240 GiB DRAM

Post date: 
Tuesday, May 11, 2021 - 17:10
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Myrtle.ai

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Posted January 4, 2019

Scaling a common machine learning workload in the cloud

Project examined scale-up and scale-out of a natural language processing problem

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STAC Study - NLP topic modeling

Post date: 
Thursday, December 20, 2018 - 08:38
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