12 Apr 2018 Minneapolis - Nor-Tech, top experts in Linux-based high-performance technology solutions, have developed leading-edge clusters and workstations specifically designed for artificial intelligence (AI) and machine learning (ML) applications.
Nor-Tech Executive Vice President Jeff Olson stated: "With the depth of engineering experience and expertise and a solid bench of hardware and software partners that we collaborate with, Nor-Tech is uniquely positioned to deliver high performance clusters and workstations developed specifically for AI and ML applications."
Nor-Tech builds AI/ML clusters and workstations with top tier hardware that includes NVIDIA Volta and Tesla GPUs and Skylake Processors. Software includes Bright Cluster Manager with AI/ML functionality.
Nor-Tech is currently working with a long-term government client to repurpose its existing Nor-Tech cluster for a machine learning application. The project includes installation of Bright Cluster Manager; Scientific Linux 7.x, 16; PBS Pro Job Scheduler; and Bioinformatics software.
"In addition to building clusters and workstations designed specifically for AI and ML, our engineers can add those capabilities to existing clusters:, Jeff Olson stated. "Any HPC cluster can be modified down the road for AI/ML and any new cluster can be built for both HPC and AI/ML."
With nearly 20 years of high performance technology design, development, deployment and implementation expertise, Nor-Tech is one of the most respected cluster builders in the world. They are a Certified NVIDIA Accelerated Computing Partner and an Intel Select Solutions Provider for HPC.
The LIGO Gravitational Wave Consortium is one of two Nor-Tech clients that have won Nobel Physics Prizes in the last three years; this client has been able to fully leverage the power of AI with Nor-Tech clusters.
Nor-Tech has been working with several LIGO consortium members, including Cal-Tech, Cal State Fullerton, Syracuse University and University of Wisconsin, Milwaukee, for more than 11 years on the project by designing, building, and upgrading a number of the AI capable clusters that made the original 2017 gravitational wave detection and subsequent detections possible.
Artificial-intelligence has the potential to greatly speed up the analysis of gravitational waves, as well as enable the detection of new classes of gravitational-wave sources that may go unnoticed with existing detection algorithms. Nor-Tech continues to build AI technology for the project.
NVIDIA Volta and Tesla GPUs, Skylake Processors, and Bright Cluster Manager are all available for a test drive on Nor-Tech's demo cluster. The demo cluster is a free opportunity for organizations to trial hardware and software or integrate their own software into the demo cluster to see how much faster it will run.