AI-ML Articles

Conceptual image depicting moving ML training workloads faster with the Supermicro SuperBlade

Supermicro SuperBlades®: Designed to Power Through Distributed AI/ML Training Models

Running heavy AI/ML workloads can be a challenge for any server, but the SuperBlade has extremely fast networking options, upgradability, the ability to run two AMD EPYC™ 7000-series 64-core processors and the Horovod open-source framework for scaling deep-learning training across multiple GPUs.

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Fast Supermicro A+ Servers with Dual AMD EPYC™ CPUs Support Scientific Research in Hungary

The Budapest Institute for Computer Science and Control (known as SZTAKI) 

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Performance-Intensive Computing Helps Lodestar Computer Vision ‘Index’ Video Data

Lodestar is a complete management suite for developing artificial intelligence-based computer vision models from video data. It can handle the navigation and curation of a native video stream without any preparation. Lodestar annotates and labels video, and using artificial intelligence, creates searchable, structured data.

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Lawrence Livermore Labs Advances Scientific Research with AMD GPU Accelerators

The Lawrence Livermore National Lababoratory chose to use a cluster of 120 servers running AMD EPYC™ processors with nearly 1,000 AMD Instinct™ GPU accelerators. The hardware, facilitated by Supermicro, was an excellent match for the molecular dynamics simulations required for the Lab's cutting-edge research, which combines machine learning with structural biology concepts.

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