Bright Computing and HPE partner

Bright Computing has formed a reseller agreement for High Performance Computing and AI markets with Hewlett Packard Enterprise.


Bright's award-winning cluster management software and its pioneering deep-learning software technology will play a key role in enabling HPE to solve their customers' HPC and AI computing challenges in a more efficient and effective manner = with the right mix of software capabilities.

HPE announced a new set of artificial intelligence (AI) platforms and services on October 25, to help companies simplify the adoption of AI. Bright Computing is included in HPE's Rapid Software Installation for AI offering, which is an integrated hardware and software solution that is purpose-built for high performance computing and deep learning applications. Based on the HPE Apollo 6500 system in collaboration with Bright technology to enable rapid deep learning application development, this solution includes pre-configured deep learning software frameworks, libraries, automated software updates and cluster management optimized for deep learning and supports NVIDIA® Tesla V100 GPUs.

Bill Wagner, CEO of Bright Computing, commented; "Bright is well positioned to support HPE, by offering comprehensive infrastructure management technology that increases uptime and ease of use, reduces cost of operation due to automation, and promotes business agility." He added; "Our companies share a common vision to make advancements through technology. With industry interest growing around deep learning and artificial intelligence, there is great momentum between Bright and HPE, and we look forward to working together to build some of the world's most impressive supercomputing environments."

"We are excited about our collaboration with Bright Computing on HPC and AI," said Bill Mannel, Vice President and General Manager for HPC and AI segment solutions, HPE. "The addition of Bright Cluster Manager to our portfolio will allow our customers to seamlessly manage heterogeneous technical compute clusters and increase operational efficiency."


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