The potential of machine learning is pulling every organization in every industry into the realm of high-performance computing, many without the required systems skills and knowledge. Bright Cluster Manager software automates building and managing machine learning clusters to reduce complexity, increase flexibility and accelerate time to value. With a pre-tested catalog of popular machine learning frameworks and libraries, support for NVIDIA DGX Systems, GPUs and NGC containers, and integration with Jupyter Notebooks, Bright software ensures that data scientists, analysts and machine learning staff can have the computing environment they need for their demanding work.
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