In Higher Education and Research, QCT POD can provide a pre-conﬁgured and pre-validated and converged HPC/ AI platform to meet diﬀerent research demands, like Numeric Weather Prediction (NWP), Quantum Chemistry and Molecular Dynamics (MD), etc. QCT ensures the quality and serviceability of infrastructure, which could accelerate time to value on their research activities such as weather forecast, imitating atom’s movement and interaction or understanding electronic structure.
QCT POD system architecture is composed of a set of common building blocks to ensure a high degree of ﬂexibility and scalability. The building blocks include the Utility Building Block, Compute Building Block, and Storage Building Block that are each connected by network fabrics that can be customized to ﬁt speciﬁc HPC/AI workload demands.
Modernize and streamline your
system monitoring and management
with QCTPOD Manager.
Provide support from our HPC/AI system design consultation, conﬁguration, benchmarking, and certiﬁcation to industry standards to ensure key workload performance.
QCT accumulates numerous experiences from building Supercomputers Taiwania 2 and 3 to ensure the reliability, serviceability, and optimized performance of the solution in the HPC/AI research ﬁeld, assisting national laboratory and academic institutions in solving complex problems, such as weather forecasting, imitating atom’s movement and interaction or understanding electronic structure, astronomy research, new material development and drug discovery. QCT empowers customers to tackle most challenging problems with maximized ROI on their infrastructure.
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