MLPerf
Business Services · California, United States · 501-1,000 Employees
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Overview
Headquarters
Mountain View, California, United StatesWebsite
www.mlperf.orgRevenue
$55 MillionIndustry
ZI Rank: 1
Signal Type
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ZI Rank
1
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About MLPerf
MLPerf's mission is to build fair and useful benchmarks for measuring training and inference performance of ML hardware, software, and services. MLPerf was founded in February, 2018 as a collaboration of companies and researchers from educational institutions. MLPerf is presently led by volunteer working group chairs. MLPerf could not exist without open source code and publicly available datasets others have generously contributed to the community.Explore more
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Revenue
Number of Employees
Type
Funding
Founded In
MLPerf
$55M
501-1,000
Private
-
2018
N/A
Company Profile Activity
Activity Insights
MLPerf is experiencing very low activity levels compared to other companies in the Business Services sector.
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MLPerf Tech Stack
A closer look at the technologies used by MLPerf
MLPerf News & Media
MLCommons™ Releases MLPerf™ Training v1.0 Results
SAN FRANCISCO--(BUSINESS WIRE)--Today, MLCommons, an open engineering consortium, released new results for MLPerf Training v1.0, the organization's machine learning training performance benchmark suite. MLPerf Training measures the time it takes to train machine learning models to a standard quality target in a variety of tasks including image classification, object detection, NLP, recommendation, and reinforcement learning. In its fourth round, MLCommons added two new benchmarks to evaluate thFujitsu, AIST, and RIKEN Achieve Unparalleled Speed on the MLPerf HPC Machine Learning Processing Benchmark Leveraging Leading Japanese Supercomputer Systems
TOKYO, Nov 19, 2020 - (JCN Newswire) - Fujitsu, the National Institute of Advanced Industrial Science and Technology (AIST), and RIKEN today announced a performance milestone in supercomputing, achieving the highest performance and claiming the ranking positions on the MLPerf HPC benchmark(1). The MLPerf HPC benchmark measures large-scale machine learning processing on a level requiring supercomputers and the parties achieved these outcomes leveraging approximately half of the "AI-Bridging CloudAccelerated Inference on FPGA clusters: InAccel releases MLPerf results and InAccel studio
SAN JOSE, Calif., Oct. 22, 2020 /PRNewswire/ -- Evaluating the best hardware platform for your deep learning application can sometimes be challenging. Also, the marketing numbers provided by several companies sometimes can be misleading as they refer to specialized benchmarks. MLPerf's...Nvidia’s A100 GPU sets new performance records in MLPerf benchmarks
Nvidia Corp.’s latest artificial intelligence platforms have once again set new performance records in the latest MLPerf benchmarks. MLPerf is an industry benchmarking group that was set up in May 2018 and is backed by companies that include Amazon.com Inc., Baidu Inc., Facebook Inc., Google LLC, Intel Corp. and Microsoft Corp., as well as Harvard […] The post Nvidia’s A100 GPU sets new performance records in MLPerf benchmarks appeared first on SiliconANGLE.
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MLPerf's mission is to build fair and useful benchmarks for measuring training and inference performance of ML hardware, software, and services. MLPerf was founded in February, 2018 as a collaboration of companies and researchers from educational institutions. MLPerf is presently led by volunteer working group chairs. MLPerf could not exist without... Read More
