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MLPerf Training v5 1 Press Briefing Q4 2025
The MLPerf Benchmark
MLPerf Storage: A Research-Driven Benchmark for Sustainable Storage-Aware ML System Design
MLPerf Inference v5 1 Press Briefing Q4 2025
MLPerf Automotive Overview
MLPerf Client v2 0 Press Briefing Q3 2026
MLPerf: A Benchmark Suite for Machine Learning - Gu-Yeon Wei (Harvard University)
MLPerf Training Benchmark Suite
LUG 2026: The MLPerf Storage Benchmark and Lustre: Overview and Best Practices
SNIA SDC: StorageAI 2026 - Enabling AI Storage Benchmark Evolution at the Pace of AI
MLPerf Inference v6.1 Press Briefing Q3 2026
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Last Updated: October 20, 2026
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Summary
MLCommons is a non-profit industry consortium dedicated to improving AI for everyone by focusing on accuracy, safety, speed, ... MLCommons® announced new results for its industry-standard Today, MLCommons® announced new results for the Geoff Tate, CEO of Flex Logix, talks about the new Tea Talk , September 12, 2025 Machine learning (ML) workloads are increasingly limited by data loading and storage ... Tom St. John gives a quick overview of the Automotive Advisory Board assembled to create an autonomous driving benchmark for ... to O'Reilly on YouTube: goo.gl/n3QSYi O'Reilly on: Twitter: twitter.com/oreillymedia Facebook: ... MLCommons President Peter Mattson discusses the Presented by Ellis Wilson and Wolfgang De Salvador. The rapid acceleration of AI model complexity, scale, and diversity has exposed a widening gap between real world AI storage ... On September 10, 2026, MLCommons held the press briefing for