MLPerf Training v4.0 also introduces a graph neural network (GNN) benchmark for measuring the performance of ML systems on problems that are represented by large graph-structured data, such as those ...
SAN FRANCISCO--(BUSINESS WIRE)--Today, MLCommons® announced new results from two industry-standard MLPerf™ benchmark suites: MLPerf Training v3.1 The MLPerf Training benchmark suite comprises full ...
MLCommons, a group that develops benchmarks for AI technology training algorithms, revealed the results for a new test that determines system speeds for training algorithms specifically used for the ...
Training AI models is a whole lot faster in 2023, according to the results from the MLPerf Training 3.1 benchmark released today. The pace of innovation in the generative AI space is breathtaking to ...
New MLPerf Training v4.1 Benchmarks Highlight Industry’s Focus on New Systems and GenAI Applications
SAN FRANCISCO, Nov. 14, 2024 — MLCommons has announced new results for the MLPerf Training v4.1 benchmark suite, including several preview category submissions using the next generation of accelerator ...
NVIDIA’s Hopper H100 Tensor Core GPU made its first benchmarking appearance earlier this year in MLPerf Inference 2.1. No one was surprised that the H100 and its predecessor, the A100, dominated every ...
San Francisco, June 27 (Reuters) - MLCommons, a group that develops benchmark tests for artificial intelligence (AI) technology, on Tuesday unveiled results for a new test that determines system ...
Forbes contributors publish independent expert analyses and insights. Dave Altavilla is a Tech Analyst covering chips, compute and AI. As AI workloads and accelerated applications grow in ...
SAN FRANCISCO--(BUSINESS WIRE)--Today, MLCommons ® announced new results for the MLPerf ® Training v4.0 benchmark suite, including first-time results for two benchmarks: LoRA fine-tuning of LLama 2 ...
Today, MLCommons announced new results from two MLPerf benchmark suites: the MLPerf Training v3.1 suite, which measures the performance of training machine learning models; and the MLPerf HPC v.3.0 ...
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