Bright Computing Select XENON as an Asia Pacific Service Partner 

MELBOURNE, Australia, Feb. 12, 2019 -- XENON, an Australian leader in high performance computing solutions, has collaborated with Bright Computing, a global leader in cluster and cloud infrastructure automation software, to become a Bright service partner for the Asia Pacific region. XENON can install and configure Bright Cluster Manager software on its GPU and CPU HPC systems, as well as offer specialised training, management and support services, to deliver supercomputing clusters that are easy to deploy and use for enterprise, government, finance, healthcare and education mid-market customers throughout this allocated region.

Together, Bright Computing and XENON will empower organisations to manage complexity and build scalable high-performance computing environments.

Lee Carter, VP Alliances at Bright Computing, commented; “We are delighted to have XENON join our Bright Service Partner community to deliver professional services, systems integration, and training to organisations in Asia Pacific. XENON has a strong reputation across the region, and we are excited to have their specialist skills available to assist customers deploying Bright technologies for high-performance computing and A.I. projects.”

Bright recently launched Version 8.2 of their product portfolio which incorporates new capabilities for managing edge computing, improved workload accounting/reporting, and support for 64-bit ARMv8 processors. The new release also comes with PythonCM2—an all-new way to interact with Bright Cluster Manager using Python—and features some big increases in performance.

Bright 8.2 also features some significant under-the-hood improvements that deliver a five-fold reduction in the amount of inter-node traffic generated for management. This frees up more bandwidth for job-related communications and improves the overall performance footprint of the entire cluster. Bright OpenStack 8.2 now includes the 18th release of OpenStack, Rocky. This release of OpenStack addresses the new demands for infrastructure—driven by use cases like AI, machine learning, and NFV—and delivers enhanced features and support for diverse hardware architectures including bare metal. Bright 8.2 also includes support for Ceph v13.2.0 (Mimic).

Bright Cluster Manager for Data Science has been expanded, adding the ability to schedule containerised Spark service through Kubernetes with an NGINX proxy server as ingress controller, and the ability to deploy and manage multiple Kubernetes clusters in a single Bright cluster.

Bright for Deep Learning

Bright empowers organisations to gain actionable insights from rich, complex data. To achieve this, Bright offers a comprehensive deep learning solution that includes:

• A modern deep learning environment: Bright provides everything needed to spin up an effective deep learning environment, and manage it effectively
• Choice of machine learning frameworks Bright Cluster Manager provides a choice of machine learning frameworks, including Caffe, Torch, Tensorflow, and Theano, to simplify deep learning projects
• Choice of machine learning libraries: Bright includes a selection of the most popular machine learning libraries to help access datasets, including MLPython, NVIDIA CUDA Deep Neural Network library (cuDNN), Deep Learning GPU Training System (DIGITS), and CaffeOnSpark (a Spark package for deep learning)
• Supporting infrastructure elements: Bright takes care of finding, configuring, and deploying all of the dependent pieces needed to run deep learning libraries and frameworks, and includes over 400MB of Python modules that support the machine learning packages, plus the NVIDIA hardware drivers, CUDA (parallel computing platform API) drivers, CUB (CUDA building blocks), and NCCL (library of standard collective communication routines)

For more information regarding implementation and support for Bright’s Cluster Manager software please contact XENON at [email protected].

Source: Bright Computing