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Leading Government Agencies and Higher Education depend on Koi Computers to deploy the latest high performance computing and technology solutions. Established since 1995, Koi Computers is a widely-recognized and highly-reputable Public Sector Contractor with proven past performance delivering customer-centric, innovative, cutting-edge, and scalable high performance computing solutions. Our company holds a wide portfolio of highly-recognized Federal Government Contracts including NASA's Solutions for Enterprise-Wide Procurement ("SEWP"), NIH's Chief Information Officer - Commodity Solutions ("CIO-CS") and GSA Schedule IT. We have developed strategic technology partnerships with Intel, Nvidia, AMD, Mellanox Technologies, Hewlett Packard Enterprise, IBM, Supermicro, zSpace, VMware, Red Hat, and many others to provide the Government with a complete turnkey solution.

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ARTICLES

INTEL FPGAS ACCELERATE AI WITH MICROSOFT
PROJECT BRAINWAVE

By Dan McNamara | August 22, 2017

I’m excited about today’s announcement from Microsoft that they have chosen Intel’s Stratix 10 FPGA to power their new deep learning platform codenamed Project BrainwaveOpens in a new window. In this post I want to clarify why real-time AI is so critical, explain how Intel FPGAs accelerate the performance of AI applications and share how this project is a natural extension of a decades-long collaboration between Intel and Microsoft.

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ARTICLES

INTENSIVE CARE: HOW AI COULD REJUVENATE
US HEALTHCARE

By Jamie Beckett | May 10, 2017

What’s more surprising is the role AI can play in fixing it. In a talk at the GPU Technology Conference, Dr. Michael Dahlweid, chief medical officer of digital solutions for GE Healthcare, described the myriad problems in U.S. healthcare, and the scope for finding fixes with the expanded use of deep learning. “The focus for AI research in healthcare today is on imaging,” said Dahlweid. “We need to apply AI beyond that.”

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HOW GPUs and Deep Learning Are Helping
Protect Endangered Species

By Tony Kontzer | June 5, 2017

Finding a cheetah across a dozen square miles of African bush can be difficult. But that same animal might lay down 200,000 footprints in a day. So finding its tracks is a lot easier. And it turns out that, beyond being useful for locating animals, tracks can tell you a whole lot more. This insight has led to a potentially revolutionary approach to wildlife conservation that’s about to be jump-started by deep learning and NVIDIA GPUs.

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