Dutch Reseller Chip ICT Joins the Bright Partner Program


Thursday, January 31, 2019 – Amsterdam, Netherlands – Today, Bright Computing, a global leader in cluster and cloud
infrastructure automation software, announced a partnership with Chip ICT, a reseller operating across Belgium and
the Netherlands.

Chip ICT is a Dutch-based IT company that delivers high quality IT solutions, and helps its customers transition their IT
to the next generation of digital transformation. Chip ICT offers solutions in traditional HPC clusters for scientific research,
as well as deep-learning and artificial intelligence. Its customer base consists of leading enterprise organizations, research
institutes, universities, and governmental departments in the BeNeLux region.

Chip ICT has chosen to add Bright’s technology to its product portfolio in order to provide its customers with a management
suite that is quick to install and easy to use. With a number of Chip ICT’s clients in the university space already having
deployed Bright, the newest member of Bright’s Reseller network is off to a flying start.

Marco van der Hart, Managing Director at Chip ICT, commented; “Bright Cluster Manager for HPC and Data Science are
great products to add to our market offering. We specialise in offering best in class HPC and deep learning solutions
to our customers, so we are confident that the Bright technology will bring value to our customer base.”

Lee Carter, VP Alliances at Bright Computing, added; “Chip ICT works closely with clients to offer HPC and AI solutions
that push the boundaries of technology, empowering organizations to carry out their research more quickly and efficiently.
So, we are delighted that Chip ICT has chosen to include Bright in its product portfolio, to help our mutual customers realise
those goals.”

Chip ICT will be offering Bright Cluster Manager for HPC and Bright Cluster Manager for Data Science to its customers,
enabling them to automate the process of building and managing Linux clusters in their data centers.


For more information about the Bright partnership with Chip ICT, please email pr-team@brightcomputing.com

GPU Computing, the basics:

GPU-accelerated computing is the use of a Graphics Processing Unit (GPU) together with a CPU to accelerate deep learning, analytics, and engineering applications. Pioneered in 2007 by NVIDIA, GPU accelerators now power energy-efficient data centers in government labs, universities, enterprises, and small-and-medium businesses around the world. They play a huge role in accelerating applications in platforms ranging from artificial intelligence to cars, drones, and robots.


GPU-accelerated computing offloads compute-intensive portions of the application to the GPU, while the remainder of the code still runs on the CPU. From a user’s perspective, applications simply run much faster.

How GPU Acceleration Works

GPU versus CPU Performance

A simple way to understand the difference between a GPU and a CPU is to compare how they process tasks. A CPU consists of a few cores optimized for sequential serial processing while a GPU has a massively parallel architecture consisting of thousands of smaller, more efficient cores designed for handling multiple tasks simultaneously.

 GPUs have thousands of cores to process parallel workloads efficiently
GPU versus GPU: Which is better?

Check out the video clip below for an entertaining GPU versus CPU comparisson

Video: Mythbusters Demo: GPU vs CPU (01:34)