Supermicro Scalable AI Edge Systems Validated for Trusted Infrastructure Deployment with the NVIDIA EGX Edge Computing Platform Now Available

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Press Trust of India SAN JOSE
Last Updated : Jun 12 2019 | 5:05 PM IST

-AsiaNet/-- Supermicro provides a comprehensive selection of GPU Servers and GPU Workload Optimized Edge Servers, Gateways and Appliances for the NVIDIA EGX Platform bringing real-time AI to the Edge Super Micro Computer, Inc. (SMCI), a global leader in enterprise computing, storage, networking solutions and green computing technology, today announced support for the NVIDIA EGX platform on Supermicro's NGC-Ready industry-leading 1U and 2U GPU servers as well as its compact and highly configurable Edge computing servers, allowing customers to rapidly develop AI applications in their Edge networks.

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"Supermicro is committed to helping companies modernize their data centers and Edge infrastructure so companies can analyze data at real-time speeds as part of their core competence and business advantage," said Charles Liang, CEO and President of Supermicro. "Enhancing our GPU servers and advanced platforms optimized for AI at the Edge technology with NVIDIA EGX and NGC provides a wide selection of optimized and efficient solutions for the intelligent Edge and for seamless integration from the Edge to the cloud."
"The challenges to deploying real-time AI at the Edge are daunting," said Joung-Youl Seo, Chief Executive Officer at DS&G, South Korea. "These new scalable Supermicro solutions with the NVIDIA EGX platform simplify the deployment process and deliver exceptional performance acceleration for the Edge data center or to the network Edge."
"There are billions of IoT sensors being deployed in enterprises across every industry. The sheer number and amount of information they can collect is driving an exponential increase in raw data that needs to be processed at the edge," said Justin Boitano, senior director of Enterprise and Edge Computing Solutions at NVIDIA. "The NVIDIA EGX platform provides a scalable platform for delivering AI at the edge, in the data center or in the cloud."
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First Published: Jun 12 2019 | 5:05 PM IST

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