Bright Cluster Manager
Deploy complete clusters over bare metal and manage
How Bright Cluster Manager Works
Bright Cluster Manager lets you administer clusters as a single entity, provisioning the hardware, operating system, and workload manager from a unified interface. This makes it easier to build a reliable cluster. Once your cluster is up and running, the Bright cluster management daemon keeps an eye on virtually every aspect of every node, and reports any problems it detects in the software or the hardware so that you can take action and keep your cluster healthy. The intuitive Bright management console lets you see and respond to what’s going on in your cluster anywhere, anytime.
Bright Cluster Manager for Data Science
Bright Cluster Manager provides everything you need to accelerate your data science projects. Bright brings everything together in a simple solution that is easy to manage and deploy, to get you up and running quickly and reliably. Bright Cluster Manager for Data Science features includes:
Easy Installation and Flexible Configuration
Installs everything you need, including your chosen distributions of Linux, Spark, libraries, and more. Bright’s configuration groups make Spark configuration more flexible than ever.
Choice of Machine Learning Libraries and Frameworks
Includes popular machine learning libraries and frameworks such as NVIDIA cuDNN, DIGITS, MXNet, PyTorch, Caffe, Caffe2, CNTK, Torch, Tensorflow, Theano, and more.
Supports Alternate File Systems
Take advantage of Lustre as an alternative to HDFS.