Press Releases


Atipa Technologies Announces Procyon G-Series Science Platform Powered by NVIDIA AI Solutions

Lawrence, KS – November 16, 2020 – Today, Atipa Technologies, a leading provider of high-performance computing and storage solutions, announced the launch of the Atipa Procyon G-Series deep learning and high-performance computing platform powered by the latest NVIDIA A100 Tensor Core GPU built on NVIDIA Ampere architecture, and leveraging the AI containers, models and frameworks from the NVIDIA NGC catalog

Data scientists and researchers require deep learning frameworks in order to transform extract massive data sets into usable information that can be effectively utilized for scientific simulations. Installing and maintaining, these frameworks and dependencies require time and expertise that may not be easily available to researchers.

Atipa Procyon G-series servers allow users easy access to the NGC catalog for GPU-optimized applications fro deep learning, machine learning, and high-performance computing(HPC). Supporting up to eight GPUs per server and offering flexible dchoices to GPU-to-GPU communication, fast NVMe flash storage, and low-latency, high-bandwith NVIDIA Mellanox HDR 200Gb/s InfiniBand networking, the Atipa Procyon G-series family provides unprecedented performance and configurability. single or dual series family provides unprecedented performance and configurability. Single or dual AMD Epyc™ processors enable full PCIe Gen 4 support, doubling the bandwidth between GPUs and CPUs compared to the previous generation Atipa Procyon servers.

“The ability to download containers with popular frameworks such as TensorFlow and Caffe, or high-performance computing applications such as Gromacs and LAMMPS, pre-installed with all necessary libraries and dependencies is an enormous time saver for IT staff,” says Bart Willems, Technology Director at Atipa Technologies. “By using NGC containers on Atipa Procyon G-series servers, scientists further benefit from continued updates and performance optimizations by NVIDIA GPU-optimization experts.”

“Time is everything for researchers, and getting to a solution depends on many factors: simulation time, but also time to build, install, and optimize applications,.” said Paresh Kharya, senior director of product management and marketing for Accelerated Computing at NVIDIA. “The Atipa servers with A100 GPUs built on NVIDIA Ampere architecture leverage NGC to enable scientists and researchers to more easily access the power of GPU acceleration to produce results”

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Atipa Technologies is a leading provider of High-Performance Computing and Storage solutions. With more than 60 awards on list of the fastest supercomputers in the world, including the 13th ranked Cascade supercomputer at Pacific Northwest National Lab in 2013, Atipa delivers affordable, high-quality solutions to government, academic, and private institutions in the US.


April 2020 - Welcoming Atipa to our Partner Program

May 14, 2020 - In this podcast, Bright's Director of Alliances, Jack Hanna, is joined by Bart Willems, Technology Director of HPC at Atipa. In March 2020, Bright announced that Atipa became an Advanced Partner in the Bright Reseller Program. In this episode, Bright and Bart discuss the partnership and Atipa's go-to-market offering in the HPC space.


Atipa Technologies Becomes the Latest Organization to Join the Bright Reseller Program in North America

By Bright Staff | Wednesday March 18, 2020 - Today, Bright Computing, a global leader in Linux cluster automation and management software for HPC and machine learning, announced that Atipa Technologies has become the latest company to join the Bright Computing Partner Program, as an Advanced Reseller.

Operating across North America, Atipa Technologies provides HPC solutions to universities, government laboratories, aerospace and biochemistry organizations.  Atipa is the high-performance computing division of Microtech Computers. Microtech Computers is the founding company that researches, builds and configures Atipa HPC clusters, servers and workstations. Microtech Computers was established in 1986, and for 30+ years has been perfecting the customization of high-end servers and workstations.

Atipa has chosen to partner with Bright Computing as Bright Cluster Manager is easy to understand and intuitive to use, reducing cluster use training time and allowing Atipa customers to get up to speed and execute jobs as quickly as possible.

Atipa envisages that Bright Cluster Manager will add significant value to its HPC portfolio through the comfort of a full GUI experience for their turnkey HPC solutions.

Bart Willems, Technology Director of HPC at Atipa, commented; “Through our partnership with Bright Computing, we will incorporate Bright’s industry-leading cluster management technology into our HPC solutions so that our customers who are less familiar with the Linux command line or who do not have the financial resources to hire an experienced Linux sysadmin can dive in and start using the cluster on day one.”

Jack Hanna, Director Alliances at Bright Computing, added; “We welcome Atipa Technologies to the Bright Reseller Program. Atipa and Bright already share a number of North American universities and laboratories as customers, so we are excited to formalize our collaboration with Atipa, to provide exciting and powerful HPC solutions that fuel the advancement of research across North America."

To find out more about how Bright Computing will work with Atipa Technologies, please email or


Atipa HPC-powered Solutions Offer a Widescreen Approach to Scientific Visualization

Lawrence, Kan., February 25, 2020 – What does it take for expert researchers to understand something as complex as an exploding star, or the functioning of the human brain? For starters, they need powerful codes to model and simulate their problems, and computers with hundreds of thousands of nodes to run their simulations. But mostly, they need lots and lots of data.

Ferreting discoveries out of the massive datasets generated in such domains is a challenge that demands the analysis and visualization capabilities of high-performance computing, or HPC. HPC systems generally aggregate computing power so very large problems can process in a useful amount of time and have been applied effectively by science for decades.More recently, smaller commodity systems, such as computing clusters running powerful software tools, have brought large-scale data analysis capabilities to universities and industry alike.

“The combination of Atipa Polaris High Performance Computing and Visualization (HPCV) platform and Intel Select Solutions offer us a more turnkey HPC system for rapid deployment,”

— Michael E. Papka, NIU professor of computer science

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Atipa Technologies, Intel, and Northern Illinois University Train Next Generation Of Visualization Experts

Lawrence, Kan., January 13, 2020 – Researchers at Northern Illinois University (NIU) seek new ways to visualize complex data involved with astrophysics, bio-sciences, and much more. With support from Atipa Technologies and Intel® Select Solutions for Simulation & Visualization, the NIU team has the compute power needed to resolve large-scale simulations, including virtual reality (VR) and augmented reality (AR) scenarios. A central feature of NIU’s visualization solution is a 16-foot by 8-foot display that allows scientists to see content at a level of detail not possible before. The unique display solution’s user-tracking interface also lets scientists interact with it physically rather than using a keyboard or mouse. As a result, both scientists and non-scientists can tap the system’s full potential.

“Atipa and Intel’s infrastructure makes it possible to train the next generation of visualization experts with advanced tools and software infrastructure they will encounter in most advanced industry settings.”

— Michael E. Papka, NIU professor of computer science

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Advancing Scientific Research with HPC – Conversations in the Cloud – Episode 189

September 26th, 2019 

In this Intel Conversations in the Cloud audio podcast: Dana Chang, Vice President and Co-founder at Atipa Technologies, joins Conversations in the Cloud to discuss Atipa’s Polaris High Performance Computing and Visualization (HPCV) platform.

Atipa has over 18 years of experience in HPC. The company researches, builds and configures HPC clusters, servers and workstations. Atipa’s development of the Polaris HPCV platform won them the Intel Partner of the Year Award for HPC Technical Solutions in 2018.

Today’s scientists need faster insights and visualize increasingly large data sets. Atipa’s Polaris Select HPCV clusters are optimized for high-performance computation and visualization to meet these growing demands. The Atipa Polaris HPCV Platform uses 2nd Generation Intel Xeon Scalable processors and the Intel Rendering Framework for CPU-based rendering. This enables a balanced performance for simulation and modeling or simulation and visualization. The pre-validated hardware of Intel Select Solutions saves time that would have been spent assessing and procuring configurations.

Atipa and Intel collaborated this year to deploy a Polaris HPCV platform at Northern Illinois University. The deployed HPCV platform allows students to quickly model and solve complex data. In addition, students get to train with tools used at the most advanced industry settings. Dana discusses the importance of student access to HPC technology at all ages, from K-12 to college.

The future will likely see HPC clusters moving from off-site to on-premise, especially for researchers. Dana and Jake both dream of having ‘a cluster in a box’ or data server designed for the office.

Learn more about the Polaris HPCV platform by visiting Explore the Intel Select Solutions for HPC at:

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Atipa Technologies, Intel, and Northern Illinois University Train Next Generation Of Visualization Experts

Lawrence, Kan., May 6, 2019 – Atipa Technologies, a leading provider of high-performance computing and storage solutions, has announced the deployment of its Polaris High Performance Computing and Visualization (HPCV) platform at Northern Illinois University. The platform is a turnkey Intel Select Solution for Professional Visualization, enabling cost effective and performance verified scientific simulation and visualization.

The Polaris Select HPCV platform leverages the Intel Rendering Framework with optimized ray-tracing algorithms to use the Intel Xeon Scalable Processors already present in the server, avoiding add-in graphics processors for high-fidelity rendering and visualization. The framework uses the Message Passing Interface (MPI) to extend the scalability of visualization workloads beyond a single node, enabling the use of the aggregated memory of all cluster nodes to visualize data sets of hundreds of gigabytes to terabytes.

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Atipa Technologies Refreshes Polaris Select High-Performance Computing and Visualization Platform with 2nd Generation Intel® Xeon® Scalable Processors

Lawrence, KS – April 2, 2019 – Atipa Technologies, a leading provider of high-performance computing and storage solutions, today announced the refresh of its Polaris Select High Performance Computing and Visualization (HPCV) platform, which includes Simulation and Modeling and Professional Visualization, using 2nd Generation Intel® Xeon® Scalable processors. The platform supplements all the benefits of a high-performance computing cluster with the Intel® Rendering Framework for software-defined visualization to enable CPU-based rendering and visualization scalable across an entire cluster of nodes without any special purpose graphics hardware.

Atipa’s Polaris Select HPCV clusters, which include Intel® Select Solutions for Simulation & Modeling and Professional Visualization, offer customers the benefit of the latest Intel technologies and verified performance so they can design the right system for simulation and visualization. These systems provide the capabilities and agility needed to support a range of different simulation and visualization workloads and eliminate the need for multiple single-purpose systems. In addition, the performance of key system characteristics is verified for Intel® Select Solutions at both the node and cluster level.


Unifying HPC and Visualization with Atipa - Conversations in the Cloud Episode 154

September 26, 2018 
About this Chip Chat


Dana Chang, Vice President and Co-founder at Atipa Technologies, joins us on this week's Conversations in the Cloud to discuss Atipa's Polaris Select clusters, which unify HPC and visualization into a single HPCV platform. These clusters are pre-configured to provide everything necessary for parallel computing visualization and cluster management. The Polaris Select solution is verified for both Intel® Select Solutions for Professional Visualization and Intel® Select Solutions for Simulation and Modeling. Atipa Polaris Select solution is built on Intel® Xeon® Scalable processors with Intel® AVX-512, and include Intel® Omni-Path Architecture, as well as Intel® SSDs with NVMe. Polaris HPCV clusters are fully customizable per customer requirements, and can deliver high fidelity, photo-realistic images even with datasets become large and complex. Use cases for the solution range from animation and engineering, to oil and gas and life sciences. Find out more information at or view a demo at SC18 this fall.


April 2nd, 2019
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Scalable Simulation, Scientific Visualization and Professional Rendering with Atipa Polaris Select HPCV Clusters

Massive data sets generated in scientific computing, big data analytics, and machine learning are overwhelmingly complex and difficult to comprehend without visual analysis. Visualizing data sets enhances the scientist’s understanding of complex ideas while also facilitating peer-to-peer communication and public outreach of scientific results – sharing raw data tables is not as effective as colorful, photorealistic visualizations that appeal to business stakeholders as well as scientists and engineers.

Traditional simulation and data analysis workflows are based on an ad-hoc model where scientific simulations are performed on a high-performance compute cluster and the results are subsequently transferred to disk for eventual visual analysis on a dedicated GPU-based workstation or cluster. For truly big data, this data movement is inefficient, time consuming, and, at scale, simply impossible.