▷ Linux Clusters for HPC

A Linux HPC cluster is a group of numerous separate computers/servers (nodes) that are connected and built on a Linux open-source operating system.

Building and managing high-performance Linux clusters for HPC applications is no easy task. With hundreds or thousands of hardware and software elements that must work in unison spanning compute, networking and storage, the skills, knowledge and experience required to do this is often more than an organization can cope with.

Have you ever felt like building a Linux cluster from scratch was overkill?

▷ About High-Performance Computing

High-Performance Computing, also known as “HPC”, is the process of harnessing the power of a supercomputer to achieve a much higher level of performance than from a single computer. 

HPC solutions are used by organizations all over the world that require exceedingly high-speed computations for scientific and academic research, engineering, manufacturing, and business.

To learn more about HPC, please visit our Enterprise Guide to HPC 

▷ The Bright solution for HPC

Bright Cluster Manager software offers an integrated solution for building and managing HPC clusters that reduces complexity, accelerates time to value and provides enormous flexibility.

Learn more about our Clusters for HPC solution.

white paper: Six successful strategies for managing high performance gpu clusters

Of those systems on the Top500 list that use accelerators, 60% use NVIDIA GPUs. The Performance kick provided by computing accelerators has pushed High Performance Computing (HPC) to new levels. Understanding and managing these costs helps provide more efficient and productive systems.

SOLUTION BRIEF: Bright Cluster Manager 

Learn how Bright automates the process of building and managing modern high-performance Linux clusters - eliminating complexity, enabling flexibility, and supporting scalability.

White Paper: Achieving the dynamic data center 

This white paper examines the emergence of clustering in the enterprise data center and proposes a set of criteria to consider when evaluating options for managing advanced, clustered IT infrastructure in today’s modern, dynamic data centers.