Join us live as we walk you through the latest updates and features of our latest product, Fuzzball. To demonstrate the capabilities of Fuzzball, CIQ has created containers and tested the execution of several popular, well-known open source applications. Take advantage of this informative demo and discussion.
Applications Tested:
OpenFOAM - We have a complete end-to-end pipeline of the simulation and visualization of the results using the well-known motorbike sample workload. Uses ParaView for visualization.
OpenRadioss - To help build the community, we have also run full end-to-end simulations and visualizations of OpenRadioss workloads using Fuzzball. Uses ParaView for visualization.
Tensorflow and Pytorch - Built and executed workloads using these machine learning frameworks. Shows that Fuzzball is capable of combining workloads across the HPC/AI space.
Previous webinar: https://bit.ly/3NHLRqi
Quantum Espresso, gromacs, LAMMPS - Popular and widely used codes in research computing.
Previous webinars: https://bit.ly/3NlQwNf, https://bit.ly/3NHLRqi
About Fuzzball:
An Entirely New Computing Paradigm
Manage the data and compute lifecycle of performance-intensive workloads with Fuzzball: a turnkey, hybrid computing infrastructure stack that gives users more control, administrators more reach, and organizations more productive.
Fuzzball combines the best of cloud, hyperscale, and enterprise with traditional HPC, resulting in a lower barrier to entry and increased security, supply chain confidence, and scale. These powerful benefits apply to everything from traditional HPC to compute and data-driven enterprise computing.
Fuzzball brings the vast capabilities, scale, security, and conveniences of k8s-based cluster management to HPC. It allows users to codify their technical workflows and run them against cloud and on-prem clusters in an API-driven, hybrid-computing format.
To learn more about CIQ or to book a meeting, contact us here: https://bit.ly/3NGeGmS
Fuzzball: https://bit.ly/3NET0aY
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