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MLPerf: Latest Results Highlight ‘More Capable ML Training’

Open engineering consortium MLCommons has released new results from MLPerf Training v2.0, which measures how fast various platforms train machine learning models. The organizations said the latest MLPerf Training results “demonstrate broad industry participation and up to 1.8X greater performance ultimately paving the way for more capable intelligent systems….” As it has done with previous […]

Scalable Inferencing for Autonomous Trucking

In this sponsored post, Tim Miller, Vice President, Product Marketing, One Stop Systems, discusses autonomous trucking and that to achieve AI Level 4 (no driver) in the vehicles, powerful AI inference hardware supporting many different inferencing engines operating and coordinating simultaneously is required.

Azure Adopts AMD Instinct MI200 GPU for Large-Scale AI Training

SANTA CLARA, Calif. May 26, 2022 — Microsoft has announced the use of AMD Instinct MI200 GPU accelerators for large-scale AI training workloads. Microsoft also announced it is working with the PyTorch Core team and AMD data center software team to optimize the performance and developer experience for customers running PyTorch on Microsoft Azure. AMD […]

Rice Univ. Researchers Claim 15x AI Model Training Speed-up Using CPUs

Reports are circulating in AI circles that researchers from Rice University claim a breakthrough in AI model training acceleration – without using accelerators. Running AI software on commodity x86 CPUs, the Rice computer science team say  neural networks can be trained 15x faster than platforms utilizing GPUs. If valid, the new approach would be a double boon for organizations implementing AI strategies: faster model training using less costly microprocessors.