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HPC Servers, Clusters for Healthcare, Life Sciences with Intel Xeon Scalable Processors

Koi Computers is maximizing Intel Xeon Scalable processors with its engineering expertise to develop high performance servers, clusters and workstations specifically for healthcare and life sciences applications.


News provided by

Koi Computers

May 28, 2020, 09:00 ET

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CHICAGO, May 28, 2020 /PRNewswire-PRWeb/ -- Koi Computers, an experienced HPC technology provider for the healthcare industry, is maximizing Intel Xeon Scalable processors with its engineering expertise to develop high performance servers, clusters and workstations specifically for healthcare and life sciences applications. Koi Computers delivers expert integration of Intel Xeon Scalable Processors with associated Intel tools such as OpenVINO and Deep Learning Reference Stack.

Unlike any other Intel HPC Data Center Specialist, Koi Computers has pharmaceutical expertise on staff along with deep experience in building HPC systems for healthcare/life sciences applications. With over 25 years of government contracting experience and being a Prime Contract Holder on the NIH NITAAC CIO-CS contract, Koi Computers already works with major healthcare-related clients such as the National Institute of Allergy and Infectious Diseases (NIAID) and National Institutes of Biomedical Imaging and Bioengineering (NIBIB).

We understand the imperatives of the healthcare and life sciences sectors because we have expertise on staff. Our long partnership with Intel also gives us access to targeted design and development resources. All of this culminates in technology that delivers fast answers to critical problems.

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The Intel Xeon Scalable Processors yield significant performance gains across molecular dynamics, genomics, molecular imaging, machine learning and more. Intel adds value to the processors with a collection of benchmark and replication formulae and optimized codes.

With the Intel Distribution Open Visual Inference and Neural Network Optimization toolkit (Intel Distribution OpenVINO toolkit), AI and DL inference deployments can be accelerated. The toolkit takes models trained in different frameworks and optimizes them for multiple Intel hardware options in order to provide maximum performance for deployment.

The Deep Learning Reference Stack is an integrated, high performance open source stack optimized for Intel Xeon Scalable platforms. This open source community release is part of an effort to ensure AI developers have easy access to all features and functionality of Intel platforms.

Koi Computers Federal Business Development Manager Catherine Ho said, "We understand the imperatives of the healthcare and life sciences sectors because we have expertise on staff. Our long partnership with Intel also gives us access to targeted design and development resources. All of this culminates in technology that delivers fast answers to critical problems."

Learn about Koi Computers/Intel healthcare technology solutions at: https://koicomputers.com/xeonscalable/2nd-generation/healthcare

Headquartered in Greater Chicago since 1995, Koi Computers has been working with top technology manufacturers to deliver scalable high performance computing and technology solutions that improve efficiency, reliability and speed. The company's world-class engineering team specializes in building custom IT solutions that accommodate today's needs and tomorrow's vision with services that include performance benchmarking and outstanding support. Koi Computers has a strong track record of developing, building and deploying HPC technology for the U.S. Federal Government with satisfactory ratings in CPARS and Past Performance. The company is a Prime Contract Holder of the GSA IT Schedule 70, NASA SEWP V, and NITAAC CIO-CS contracts and the 2GIT BPA. To learn more, call: 888-LOVE-KOI (888-568-3564); email: [email protected] or visit https://www.koicomputers.com.

For media inquiries, contact Jeanna Van Rensselar at Smart PR Communications; [email protected] 630-363-8081.

SOURCE Koi Computers

Related Links

http://www.koicomputers.com/

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