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Bright Computing Powers Deep Learning at University of North Dakota

The University of North Dakota is using Bright Computing software to unify its newly designed clustered infrastructure, giving them more versatility, access to the cloud and to deep learning resources. “Bright software makes it easy for us train new staff to deploy, provision, and manage our clustered infrastructure for HPC, Data Science, and Cloud; all integrated, and all from a single point of control. We can deploy Ceph nodes, install standard HPC products, roll out cloud features, introduce data science packages, all from a single interface with robust enterprise-grade support.”

Podcast: Building AI Datacenters with NVIDIA DGX Reference Architectures

In this podcast, Lee Carter from Bright Computing and Carlo Ruiz from NVIDIA discuss building datacenters with NVIDIA DGX Reference Architectures. “NVIDIA DGX servers managed by Bright Cluster Manager deliver 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. Join this podcast to learn more about the power behind this partnership.”

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.