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Bright Leverages Latest NVIDIA Tesla GPUs With Unique Monitoring and Management Capabilities for GPU Clusters

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News Release


4 May, 2010

Bright Cluster Manager Leverages Latest NVIDIA Tesla GPUs with Unique Monitoring and Management Capabilities for GPU Clusters


San Jose, California — Bright Computing, specialist in cluster management software and services for high-performance computing (HPC), is pleased to announce the availability of comprehensive GPU management and monitoring capabilities in its Bright Cluster Manager® software. Bright Cluster Manager now leverages the latest NVIDIA© Tesla™ 20-series GPUs based on the new "Fermi" architecture to offer administrators and owners of GPU clusters maximum insight and control.

Bright Cluster Manager can sample and monitor metrics from supported GPU cards and GPU Computing Systems, such as the C2050 and the rack-mounted S2050. Examples of supported metrics include GPU temperatures, GPU exclusivity modes, GPU fan speeds, system fan speeds, PSU voltages and currents, system LED states, and GPU ECC memory statistics. The frequency of metric sampling is fully configurable and so is the consolidation of the metrics data over time. Metrics data is stored in Bright Cluster Manager's central SQL database and can be visualized in value/time graphs, as well as in Bright Cluster Manager's unique Rackview.

Furthermore, Bright Cluster Manager allows for alerts and actions to be triggered automatically when GPU metric thresholds are exceeded. Such rules are completely configurable to suit your requirements, and any built-in cluster management command, Linux command, or shell script can be used as an action. For example, if you would like to automatically receive an email and shut down a node when its GPU temperature exceeds a set value, this can easily be configured in Bright Cluster Manager.

"There are now more than a 1000 NVIDIA GPU-based clusters around the world," said Andy Keane, General Manager of the Tesla business at NVIDIA. "Bright Computing's cluster management software fills a critical need for datacenter managers to reliably monitor and manage the status of their GPU-enabled clusters."

"Bright Cluster Manager's unique GPU management and monitoring capabilities is rapidly making it the cluster management solution of choice for GPU clusters", says Dr Matthijs van Leeuwen, CEO of Bright Computing. "We will continue to work closely with NVIDIA to incorporate new GPU management and monitoring capabilities into Bright Cluster Manager".

More information about GPU support in Bright Cluster Manager is available at:

http://www.brightcomputing.com/NVIDIA-GPU-Cluster-Management-Monitoring.php

About Bright Cluster Manager

Bright Cluster Manager is a Linux-based cluster management software solution specifically designed to make HPC clusters of any size easy to install, use and manage. Its intuitive graphical user interface offers consistent access to all management and monitoring functionality for cluster administrators. Its HPC user environment provides a comprehensive range of HPC software development tools for cluster users.

About Bright Computing

Bright Computing is a specialist in cluster management software and services for high-performance computing (HPC). Its flag-ship product — Bright Cluster Manager — makes clusters of any size easy to install, use and manage, and is the cluster management solution of choice for many universities, research institutes and companies across the world. Bright Computing has its head office in San Jose, California.

Pictures and screenshots of Bright Cluster Manager:

http://www.BrightComputing.com/Newsroom.php

For more information:

Bright Computing, Inc.
Press Office
2880 Zanker Road, Suite 203
San Jose, CA 95134
USA
Tel: +1 408 954 7325
Fax: +1 408 715 0102

 

 
 






 

Bright Cluster Manager can sample, monitor and visualize metrics from supported NVIDIA GPUs.
 

 

Supported NVIDIA GPUs include the latest Tesla C2050 and C2070 GPU cards, and the Tesla S2050 and S2070 1U GPU Computing Systems based on the new "Fermi" architecture.


 

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