Advanced Computing in the Age of AI | Thursday, March 28, 2024

Supermicro Portfolio Scales up to 8 GPU Rackmount NGC-Ready Systems Certified to Fully Support NVIDIA NGC Software 

SAN JOSE, Calif., March 24, 2020 — Super Micro Computer, Inc., provider of enterprise computing, storage, networking solutions and green computing technology, announced the industry’s broadest portfolio of validated NGC-Ready systems optimized to accelerate AI and deep learning applications. Supermicro is highlighting many of these systems at the Supermicro GPU Live Forum in conjunction with NVIDIA GTC Digital.

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 datacenters, 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 Charles Liang, CEO and president of Supermicro. “With support for fast networking and storage, as well as NVIDIA GPUs, our Supermicro NGC-Ready systems are the most scalable and reliable servers to support AI. Customers can run their AI infrastructure with the highest ROI.”

Supermicro currently leads the industry with the broadest portfolio of NGC-Ready Servers optimized for datacenter 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 Ian Buck, vice president and general manager of Accelerated Computing at NVIDIA. “The NGC-Ready systems from Supermicro can deliver users the performance they need to train larger models and provide low latency inference to make critical, real-time business decisions.”

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.

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