MLCommons® announced results for its industry-standard MLPerf® Storage v1.0 benchmark suite, which is designed to measure the performance of storage systems for machine learning (ML) workloads in an architecture-neutral, representative, and reproducible manner.
New MLPerf Storage v1.0 Benchmark Results Show Storage Systems Play a Critical Role in AI Model Training Performance
September 27, 2024 by
Cortical.io Semantic Folding Approach Demonstrates a 2,800x Acceleration and 4,300x Increase in Energy Efficiency over BERT
July 12, 2022 by
Cortical.io announced its breakthrough prototype for classifying high volumes of unstructured text. Classifying documents or messages constitutes one of the most fundamental Natural Language Understanding (NLU) functions for business artificial intelligence (AI). The benchmark was carried out on two similar system setups using the same, off-the-shelve, dual AMD-Epyc server hardware. The “BERT” system, a transformer-based machine learning technique for natural language processing, was augmented by a NVidia GPU. The “Semantic Folding” approach utilized a cost comparable number of Xilinx Alveo FPGA accelerator cards.
TigerGraph Releases New Benchmark Report – First Time a Graph Database Tested at this Scale
April 19, 2022 by
Graph analytics leader TigerGraph has released a new benchmark report which demonstrates the technology is capable of running BI queries fast, returning results in a few minutes or less even across a data set of significant size.
SPEC Establishes Machine Learning Committee to Develop Vendor-Agnostic Benchmarks
March 10, 2022 by
The Standard Performance Evaluation Corp. (SPEC) announced the formation of the SPEC Machine Learning Committee. The SPEC ML Committee will develop practical methodologies for benchmarking artificial intelligence (AI) and machine learning (ML) performance in the context of real-world platforms and environments.
Deci and Intel Collaborate to Optimize Deep Learning Inference on Intel’s CPUs
March 16, 2021 by
Deci, the deep learning company building the next generation of AI, announced a broad strategic business and technology collaboration with Intel Corporation to optimize deep learning inference on Intel Architecture (IA) CPUs. As one of the first companies to participate in Intel Ignite startup accelerator, Deci will now work with Intel to deploy innovative AI technologies to mutual customers.
NVIDIA Advances Performance Records on AI Inference
October 21, 2020 by
NVIDIA today announced its AI computing platform has again smashed performance records in the latest round of MLPerf, extending its lead on the industry’s only independent benchmark measuring AI performance of hardware, software and services.
Transaction Processing Performance Council (TPC) Launches TPCx-HS Version 2 – Augmenting Its Arsenal of Big Data Benchmarks
June 6, 2017 by
The Transaction Processing Performance Council (TPC) announced the immediate availability of TPCx-HS Version 2, extending the original benchmark’s scope to include the Spark execution framework and cloud services.
