San Francisco, CA — MLCommons has announced results for its MLPerf Storage v2.0 benchmark suite, designed to measure the performance of storage systems for machine learning workloads in an architecture-neutral, representative, and reproducible manner. According to MLCommons, the results show that storage systems performance continues to improve rapidly, with tested systems serving roughly twice the […]
DDN Touts MLPerf Storage Benchmark Performance
August 5, 2025 by
Chatsworth, Calif. — August 4, 2025 — DDN announced it has set a new benchmark for performance and efficiency with its AI400X3 storage appliance in the latest MLPerf Storage v2.0 benchmarks. Powered by DDN’s EXAScaler parallel file system, the AI400X3 is engineered to accelerate AI workloads. For large enterprises, this means faster time-to-insight, lower operational costs, […]
DDN Achieves Unprecedented Performance in MLPerf™ Benchmarking, Empowering Transformative AI Business Outcomes
September 30, 2024 by
DDN®, provider of the data intelligence platform, proudly announces a groundbreaking achievement in the MLPerf™ Storage Benchmark, setting new standards for performance and efficiency. DDN’s A3I™ (Accelerated Any-scale AI) systems demonstrated unmatched capabilities in multi-node configurations, solidifying its role as essential drivers for high-demand machine learning (ML) workloads and transformative business outcomes. “Our MLPerf results emphatically showcase DDN’s […]
New MLPerf Storage v1.0 Benchmark Results Show Storage Systems Play a Critical Role in AI Model Training Performance
September 27, 2024 by
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.
