The post MLPerf v2.0 Results Highlight Hammerspace Tier 0’s Role in Maximizing GPU Utilization appeared first on Futurum. Krista Case, Research Director at Futurum, shares insights on Hammerspace MLPerf Tier 0 results, showcasing linear scaling, 3.7x efficiency gains, and high GPU utilization for AI storage performance. The post MLPerf v2.0 Results Highlight Hammerspace Tier 0’s Role in Maximizing GPU Utilization appeared first on Futurum.| Futurum
AVCC® and MLCommons® announced new results for their new MLPerf® Automotive v0.5 benchmark| MLCommons
New checkpoint benchmarks provide “must-have” information for optimizing AI training The post New MLPerf Storage v2.0 Benchmark Results Demonstrate the Critical Role of Storage Performance in AI Training Systems appeared first on MLCommons.| MLCommons
MLCommons Releases MLPerf Client v1.0 with Expanded Models, Prompts, and Hardware Support, Standardizing AI PC Performance.| MLCommons
More submissions, new hardware accelerators, and more multi-node systems The post New MLCommons MLPerf Training v5.0 Benchmark Results Reflect Rapid Growth and Evolution of the Field of AI appeared first on MLCommons.| MLCommons
MLCommons adds new pretraining benchmark for testing large-scale systems The post MLCommons MLPerf Training Expands with Llama 3.1 405B appeared first on MLCommons.| MLCommons
Follow this step-by-step guide to reproduce AMDs MLPerf 5.0 Training Submission with Instinct GPUs using ROCm| ROCm Blogs
A step-by-step guide to reproducing AMD’s MLPerf v5.0 results for Llama 2 70B & SDXL using ROCm on MI325X| ROCm Blogs
MLCommons published results of its industry AI performance benchmark, MLPerf Training 3.0, in which both the Habana® Gaudi®2 deep learning accelerator and the 4th Gen Intel® Xeon® Scalable processor delivered impressive training results. The post New MLCommons Results Highlight Impressive Competitive AI Gains for Intel appeared first on Intel Gaudi Developers.| Intel Gaudi Developers