HPC Clusters and Workstations With NVIDIA V100S Tensor Core GPUs Announced by Koi Computers
Koi Computers Announced Its Launch of Accelerated HPC Clusters and Workstations That Contain the NVIDIA V100s Card.
Koi Computers announced its launch of accelerated HPC clusters and workstations that contain the NVIDIA V100S card.
Koi Computers’ Federal Business Development Manager Ms. Catherine Ho said, “We value our strong relationship with NVIDIA and their drive to excel is one reason why. Our goal is to meet and exceed data-intensive needs with innovations that allow our clients to develop outstanding solutions and outpace competitors.”
Recommended AI News: The Future Of AI And Four New Demands On ERP Systems
Headquartered in Greater Chicago since 1995, Koi Computers has been working with top technology manufacturers, such as NVIDIA, to deliver scalable high-performance computing and technology solutions that improve efficiency, reliability and speed. Koi Computers’ 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.
Recommended AI News: What Will 2020 Bring for Digital Advertising?
NVIDIA’s Volta architecture Tensor Core GPUs are the world’s most powerful accelerators for deep learning, machine learning, high-performance computing, and graphics. A single V100 or V100S Tensor Core GPU offers the performance of nearly 32 CPUs—enabling researchers to tackle challenges that were once unsolvable. NVIDIA V100 delivered leadership performance on MLPerf, the first industry-wide AI benchmark, validating itself as the world’s most powerful, scalable and versatile computing platform.
NVIDIA also supports an end-to-end software platform for the V100S with out-of-the box deployment for a variety of workloads from deep learning to data science.