Leading Cluster Management Software for Data Science Applications
We are currently building computers optimized with Bright Cluster Manager for Data Science. In fact, Nor-Tech is one of the only technology providers that can offer a total Bright Cluster Manager/NVIDIA DGX/ScaleMatrix scalable, dynamic-density solution for AI that can reside either in or outside a data center—more on that in a minute.
We are a Premier Reseller Partner of Bright Computing. Bright software automates the process of building and managing Linux clusters in data centers, the cloud and at the edge. This technology is easy to deploy and removes the complexity of managing and monitoring HPC clusters.
Bright Cluster Manager for Data Science enables administration of data science clusters as a single entity, provisioning the hardware, operating system, big data and deep learning software from a single interface. Bright provides everything needed for data scientists to quickly deploy a complete machine learning environment with fast access to ML libraries, frameworks, notebooks and analytics applications.
Bright has certified the use of NVIDIA DGX servers in Bright-managed clusters, making it faster and easier for organizations to realize the massive potential that a cluster of DGX servers can unlock. Bright-managed DGX clusters benefit from all of the functionality of Bright Cluster Manager, from setup and provisioning to monitoring, health-checking and automated updates.
Nor-Tech, a member of the NVIDIA Partner Network (NPN) and a Preferred DGX Partner is one of a small number of companies that are authorized to sell DGX-1 (rackmount) and DGX Station (workstation) in the U.S. Nor-Tech is also in the unique position of having a partnership with ScaleMatrix to sell DDC cooling cabinets; Nor-Tech has a five-year track record of building technology with similar cabinets.
Bright Cluster Manager has played a key role in the success of many recent Nor-Tech projects—including an existing high performance cluster that was refreshed for a new AI/deep learning project—saving the client a significant amount of time and money.