Bright Cluster Manager
Helps to get clusters up and running quickly and keep them running reliably throughout their life cycle – all with the ease and elegance of a fully featured, enterprise-grade cluster manager.
The software provides single-pane-of-glass management for the hardware, the operating system, the HPC software, and users.
Bright Cluster Manager installs on bare metal. With Installation Wizard,you can easily install everything you need, including the chosen distribution of Linux, workload manager, libraries, and more. Software images can be provisioned to nodes for clusters of virtually any size and complexity.
Powerful GUI provides a single, intuitive interface for all cluster management functionality and the intuitive management console displays alerts so you react to what is going in the cluster. Automatic healthchecks keep an eye on the cluster for you.
Cloudbursting allows you to easily create of new clusters in the cloud, or add cloud-based resources to the existing clusters on-the-fly.
Bright Cluster Manager for Science Data
Allows to administer data science clusters as a single entity, provisioning the hardware, operating system, big data and deep learning software from a single interface.
The solution provides a choice of machine learning frameworks, including Caffe, Torch, Tensorflow, and Theano, to simplify your deep learning projects.
Bright includes a selection of the most popular Machine Learning libraries to help administrators access datasets. These include MLPython, NVIDIA CUDA Deep Neural Network library (cuDNN), and CaffeOnSpark.
Supporting infrastructure elements, including over 400MB of Python modules that support the machine learning packages, NVIDIA hardware drivers, CUDA drivers, CUDA building blocks (CUB), and NCCL ensure administrators are able to locate, configure, and deploy pieces to run deep learning frameworks.