Sign up for our newsletter and get the latest HPC news and analysis.
Send me information from insideHPC:


Podcast: Reducing Complexity with Cluster Management from Bright Computing

In this Conversations in the Cloud podcast, Lee Carter from Bright Computing offers comprehensive software for deploying, managing, and monitoring clustered infrastructure, in the data center or the cloud. “Looking forward, Lee speculates that the future of AI will see new technologies like autonomous cars using complex simulation and modeling in small scale systems, continuing the legacy of HPC.”

Bright Reseller Raid Media Systems Targets German Supercomputing Market

Raid Media Systems has become the latest partner to sign up to the Bright Computing Reseller Program. As a reseller, Raid Media Systems has chosen to partner with Bright Computing in order to provide its customers with an easy to use cluster management solution. The Reseller anticipates that Bright technology will allow its staff to spend less time on cluster management tasks and more time focusing on improving application performance and cluster utilization for its customers. “We are happy to partner with Bright to offer industry-proven cluster management software to our customer base,” said Daniel Vogel, Systems Engineer at Raid Media Systems. “This ensures that our customers get the very best solutions for their needs.”

The Convergence of HPC and AI

In this special guest feature, Bill Wagner from Bright Computing writes that the convergence of HPC & AI presents new challenges for containers, job scheduling, and system management. “But here’s the rub … traditional HPC applications run under the jurisdiction of an HPC workload manager like Slurm or PBS Pro, whereas machine learning applications are primarily run in containers under the jurisdiction of a container orchestration system, such as Kubernetes.”

Exploring Bright Cluster Manager on NVIDIA DGX Systems

Artificial Intelligence (AI) is rapidly becoming an essential business and research tool, providing valuable new insights into corporate data and delivering those insights with high velocity and accuracy. While these AI capabilities add significant value to our lives, they are the most demanding workloads in modern computing history. Download the new report from Bright Computing to explore how NVIDIA DGX and Bright Cluster Manager are designed to deliver more of what AI infrastructure users need. 

Realize the Massive Potential of Your AI Infrastructure with Bright Computing and NVIDIA

“As organizations continue to leverage GPUs for HPC applications and also host AI workloads on existing HPC clusters, a growing trend is to add DGX servers to these clusters alongside traditional CPU-based Linux servers. Because Bright Cluster Manager is platform independent, combining DGX servers with servers from another vendor is easy and seamless, resulting in a single unified cluster that Bright can centrally manage and monitor.”

Realize the Massive Potential of Your AI Infrastructure with Bright Computing and NVIDIA

This white paper from Bright and NVIDIA highlights how NVIDIA DGX Servers managed by Bright Cluster Manager provide the enhanced technology and support for today’s most demanding AI workloads. This new solution delivers the perfect balance of increased concurrency for handling data science workloads, the massive compute requirements associated with those workloads, and the seamless management of all resources across the HPC cluster.

Bright Computing Streamlines HPC Environment for NeSI and NIWA

Today Bright Computing announced that the company’s cluster management software enables modernized HPC infrastructure for New Zealand eScience Infrastructure (NeSI) and the National Institute of Water and Atmospheric Research Ltd (NIWA). “Armed with deep infrastructure knowledge and systems integration experience, Bright was part of a co-design partnership with Cray, NIWA and NeSI working collaborative to design and build a hybrid HPC and private cloud infrastructure based on Bright Cluster Manager and Bright OpenStack.”

Best Practices for Building, Deploying & Managing HPC Clusters

In today’s markets, a successful HPC cluster can be a formidable competitive advantage. And many are turning to these tools to stay competitive in the HPC market. That said, these systems are inherently very complex, and have to be built, deployed and managed properly to realize their full potential. A new report from Bright Computing explore best practices for HPC clusters. 

Five Essential Strategies for Successful HPC Clusters

Successful HPC clusters are powerful assets for an organization. However, these systems are complex and must be built and managed properly to realize their potential. If not done properly, your ability to meet implementation deadlines, quickly identify and resolve problems, perform updates and maintenance, accommodate new application requirements and adopt strategic new technologies will be jeopardized. Download the new white paper from Bright Computing that explores key strategies for HPC clusters.

Bright Cluster Manager Prepares for Exascale at SC18


Bright’s exascale-capable version of Bright Cluster Manager is designed to support 100,000+ nodes. The company began delivering enhancements towards exascale in 2016 with features such as dedicated provisioning nodes, and a new monitoring subsystem designed for extreme scale. Current development work includes dedicated monitoring nodes, hierarchical object rendering in the Bright UI, optimized API communication patterns, and exascale simulation testing.”