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What our Clients say

• Sebastian Glatt, PhD

  "ACC Cyfronet AGH played a key role in achieving our results. We use cryo-electron microscopy to image macromolecular complexes, and each collected data set contains approximately 4 to 8 terabytes. Analyzing data sets of this magnitude requires access to a well-managed supercomputing infrastructure.”

• Szymon Mazurek

  "From the very beginning of my research, I’ve been using Cyfronet’s infrastructure (…). This was particularly crucial during the evaluation of methods for automatic neural network architecture configuration, as it required the parallel training of hundreds of neural networks. Without adequate infrastructure, conducting research in the field of AI would be especially challenging.”

• Yizhi Xu, PhD

  "Cyfronet’s supercomputing infrastructure played a critical role in my research for executing all necessary calculations for the design of MOFs computationally with desired properties. (…) Moreover, the GPU cores offered by the Ares supercomputer were essential for training machine learning potentials, in order to further speed up the CSP calculations for MOF design.”