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

September 26th, 2019 |
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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 https://www.atipa.com/intel-select-solutions. Explore the Intel Select Solutions for HPC at: intel.com/selectsolutions

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Posted in: Audio Podcast, Cloud Computing, Intel, Intel Chip Chat, Intel Conversations in the Cloud
 


 


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