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#1 on the Green500 - Supermicro and Preferred Networks (PFN) Collaborate to Develop the World's Most Efficient Supercomputer

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SAN JOSE, Calif., Aug. 31, 2020 /PRNewswire/ -- Super Micro Computer, Inc. (Nasdaq: SMCI), a global leader in enterprise computing, storage, networking solutions and green computing technology, today announced that its collaboration with Preferred Networks achieved the #1 ranking for the Green500 semi-annual industry assessment.  The MN-3 reached a record 21.11Gigaflops of performance-per-watt on a benchmark run that delivered a total performance of 1.62 Petaflops.  This efficiency achievement is 15% higher than the previous Green500 record of 18.404 Gflops/W, which was recorded in June 2018.

"Supermicro was excited to work with PFN on this exceptional system supporting machine learning (ML) and deep learning (DL) applications and energy efficiency," said Charles Liang, CEO and president of Supermicro. "The Green500 international recognition confirms that Supermicro delivers exceptional products – resource-saving, superior design, and high-reliability to the market."

PFN partnered with Supermicro to develop this customized server, which addresses a wide range of applications that require ultra-fast communications. Based in Japan, PFN strives to solve complex problems that utilize deep learning, robotics, and other advanced technologies.

"We are very pleased to have partnered with Supermicro, who worked with us very closely to build MN-3, which was recognized as the world's most energy-efficiency supercomputer," stated Yusuke Doi, VP of Computing Infrastructure at Preferred Networks. "We can deliver outstanding performance while using a fraction of the power that was previously required for such a large supercomputer."

The PFN solution is based on the Supermicro GPU server that utilizes Intel® Xeon® CPUs, and MN-Core boards developed by Preferred Networks. This advanced system offers up to 6TB of DDR4 memory, and multiple GPUs or accelerators, as well as the interconnects that enable ultra-fast communications between GPUs.

PFN Supercomputer

The PFN supercomputer can serve many users simultaneously. The initial cluster consisted of 48 servers- four interconnect nodes, and five 100GbE switches. There was a total of 2,080 CPU cores, housed in a 7U high rack-mounted unit.

Learn more about the Green500 supercomputer.   

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About Super Micro Computer, Inc.

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, Cloud Computing, Enterprise IT, Hadoop/Big Data, HPC and Embedded Systems worldwide. Supermicro is committed to protecting the environment through its "We Keep IT Green®" initiative and provides customers with the most energy-efficient, environmentally-friendly solutions available on the market.

Supermicro, Server Building Block Solutions, and We Keep IT Green are trademarks and/or registered trademarks of Super Micro Computer, Inc.

All other brands, names and trademarks are the property of their respective owners.

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SOURCE Super Micro Computer, Inc.

Super Micro Computer, Inc.

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About SMCI

supermicro (nasdaq: smci) is a global leader in high performance, high efficiency server technology and innovation. we develop and provide end-to-end green computing solutions to the data center, cloud computing, enterprise it, big data, high performance computing, or hpc, and embedded markets. our solutions range from complete server, storage, blade and workstations to full racks, networking devices, server management software and technology support and services. we offer our customers a high degree of flexibility and customization by providing what we believe to be the industry's broadest array of server configurations from which they can choose the optimal solution which fits their computing needs. our server systems, subsystems and accessories are architecturally designed to provide high levels of reliability, quality and scalability, thereby enabling our customers benefits in the areas of compute performance, density, thermal management and power efficiency to lower their overall