insideHPC

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 ...
Bloomberg L.P.

The journey to build Bloomberg’s ML Inference Platform Using KServe (formerly KFServing)

This post details the beginning of Bloomberg’s journey to build a machine learning inference platform. For those readers who are less familiar with the technical concepts involved in machine learning ...
insideHPC

MLCommons: Latest MLPerf AI Benchmark Results Show Machine Learning Inference Advances

SAN FRANCISCO – September 8, 2022 – Today, the open engineering consortium MLCommons announced results from MLPerf Inference v2.1, which analyzes the performance of inference — the application of a ...
The Next Platform

RISC-V Upstart Targets ML Inference Performance, Power Efficiency

There is a growing number of vendors big and small going hard to the hoop to make processors for artificial intelligence workloads. AI and machine learning are key enablers of automation and analytics ...
MIT Technology Review

High-performance, low-cost machine learning infrastructure is accelerating innovation in the cloud

Cloud machine learning technologies, like AWS Inferentia, are accelerating organizations’ AI transformation. Provided byAmazon Web Services Artificial intelligence and machine learning (AI and ML) are ...
CMS Wire

Artificial General Intelligence: Jumping to the New Inference Market S-Curve

Historically, we have used the Turing test as the measurement to determine if a system has reached artificial general intelligence. Created by Alan Turing in 1950 and originally called the “Imitation ...
Business Wire

MLPerf Results Show Advances in Machine Learning Inference Performance and Efficiency

SAN FRANCISCO--(BUSINESS WIRE)--Today MLCommons™, an open engineering consortium, released new results for three MLPerf™ benchmark suites - Inference v2.0, Mobile v2.0, and Tiny v0.7. These three ...