Sign up for our newsletter and get the latest big data news and analysis.
Daily
Weekly

MLPerf: Latest Results Highlight ‘More Capable ML Training’

Open engineering consortium MLCommons has released new results from MLPerf Training v2.0, which measures how fast various platforms train machine learning models. The organizations said the latest MLPerf Training results “demonstrate broad industry participation and up to 1.8X greater performance ultimately paving the way for more capable intelligent systems….” As it has done with previous […]

MLPerf Results Highlight Advances in Machine Learning Inference Performance and Efficiency

SAN FRANCISCO – April 6, 2022 – Today MLCommons, an open engineering consortium, released new results for three MLPerf benchmark suites – Inference v2.0, Mobile v2.0, and Tiny v0.7. MLCommons said the three benchmark suites measure the performance of inference – applying a trained machine learning model to new data. Inference enables adding intelligence to a wide range […]

MLPerf Releases Results for HPC v1.0 ML Training Benchmark

Today, MLCommons released new results for MLPerf HPC v1.0, the organization’s machine learning training performance benchmark suite for high-performance computing (HPC). To view the results, visit https://mlcommons.org/en/training-hpc-10/. NVIDIA announced that NVIDIA-powered systems won four of five MLPerf HPC 1.0 tests, which measures training of AI models in three typical workloads for HPC centers: CosmoFlow estimates details […]

MLCommons Releases MLPerf Inference v1.1 Results 

San Francisco – September 22, 2021 – Today, MLCommons, an open engineering consortium, released new results for MLPerf Inference v1.1, the organization’s machine learning inference performance benchmark suite. MLPerf Inference measures the performance of applying a trained machine learning model to new data for a wide variety of applications and form factors, and optionally includes […]

MLCommons Launches MLPerf Tiny AI Inference Benchmark

Today, open engineering consortium MLCommons released a new benchmark, MLPerf Tiny Inference to measure trained neural network AI inference performance for low-power devices in small form factors. MLPerf Tiny v0.5 is MLCommons’s first inference benchmark suite for embedded device machine learning, a growing field in which AI-driven sensor data analytics is performed in real-time, close […]

GIGABYTE Joins MLCommons to Accelerate the Machine Learning Community

Taipei, Taiwan, December 22nd 2020 – GIGABYTE Technology, (TWSE: 2376), a maker of high-performance servers and workstations, today announced GIGABYTE as one of the founding members of MLCommons, an open engineering consortium with the goal of accelerating machine learning with benchmarking, large-scale open data sets, and best practices that are community-driven. In 2018, a group […]