The promise of machine learning is pulling every organization in every industry into the realm of high-performance computing. Many organizations have little or no experience with these systems, and even the most experienced high-performance computing practitioners will tell you that building and managing high-performance Linux clusters 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. Bright Cluster Manager software offers an integrated solution for building and managing machine learning clusters that reduces complexity, accelerates time to value and provides enormous flexibility. Bright Cluster Manager also provides a pre-tested catalog of popular machine learning frameworks and libraries, as well as integration with Jupyter Notebook, to ensure that data scientists can be as productive as possible and not waste time managing their work environment.
provisioning & setup
detection and isolation
9.1 delivers more cluster management capabilities from edge to core to cloud, and comprises built-in expertise, integrated cluster build, management, and monitoring, and platform independence. Release 9.1 takes simplified cluster management to a whole new level. Here are some of the key features in 9.1:
Learn how Bright Cluster Manager offers an integrated solution for building and managing ML clusters that reduces complexity, accelerates time to value, and provides enormous flexibility.
Bright Cluster Manager on NVIDIA DGX Systems