Supermicro Accelerates AI and Deep Learning from the Data Center to the Edge with New NVIDIA NGC-Ready Servers
Supermicro NGC-Ready systems allow customers to train AI models using NVIDIA V100 Tensor Core GPUs and to perform inference using NVIDIA T4 Tensor Core GPUs. NGC hosts GPU-optimized software containers for deep learning, machine learning and HPC applications, pre-trained models, and SDKs that can run anywhere the Supermicro NGC-Ready systems are deployed whether in data centers, cloud, edge micro-datacenters, or in distributed remote locations as environment-resilient and secured NVIDIA-Ready for Edge servers powered by the NVIDIA EGX intelligent edge platform.
"With over 26 years of experience delivering state-of-the-art computing solutions, Supermicro systems are the most power-efficient, the highest performing, and the best value," said
Supermicro currently leads the industry with the broadest portfolio of NGC-Ready Servers optimized for data center and cloud deployments and is continuing to expand its portfolio. In addition, the company offers five validated NGC-Ready for Edge servers (EGX) optimized for edge inferencing applications.
"NVIDIA's container registry, NGC, enables superior performance for deep learning frameworks and pre-trained AI models with state-of-the-art accuracy," said
As the leader in AI system technology, Supermicro offers multi-GPU optimized thermal designs that provide the highest performance and reliability for AI, deep learning, and HPC applications. With 1U, 2U, 4U, and 10U rackmount NVIDIA GPU systems as well as GPU blade modules for our 8U SuperBlade® enclosure, Supermicro offers the industry's best and widest selection of GPU systems.
For details on Supermicro NGC-Ready solutions, visit www.supermicro.com/en/solutions/ngc.
Supermicro (Nasdaq: SMCI), the leading innovator in high-performance, high-efficiency server technology, is a premier provider of advanced Server Building Block Solutions® for Data Center,
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Michael Kalodrich, Super Micro Computer, Inc., PR@supermicro.com
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