Accelerate your Scientific Discovery and Productivity of Research

A Purpose-built Solution of Converged HPC and AI system

Higher Education and Research

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. 

Molecular Dynamics
Numeric Weather Prediction
Quantum Chemistry

System Architecture

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.   

Benefits

Shorten Time-to-result
Enable researchers to run simulations efficiently and speed up productivity with QCT HPC Workload Package.
Optimize Investment
Achieve better resource utilization and time-to-value with QCT converged HPC/AI platform.
Streamline Workflow and Management

Modernize and streamline your
system monitoring and management
with QCTPOD Manager.

Platform Features

Starter Standard HPC Advanced HPC Premium Converged HPC and AI Starter Standard HPC Advanced HPC Premium Converged HPC and AI Starter Standard HPC Advanced HPC Premium Converged HPC and AI Starter Standard HPC Advanced HPC Premium Converged HPC and AI

Successful Case

NCHC Taiwania2 Supercomputing for National laboratory
QCT established an AI cloud computing platform, which could provide real-time and convenient computing services to the industry, university, and institute circles. QCT delivered an AI cluster that includes 252 compute servers, each equipped with 2 CPUs and 8 state-of-the-art GPUs. The system had direct-to-chip liquid cooling to enable superior energy efficiency in the Green 500 list.
NCHC Taiwania3 Supercomputing for National laboratory
QCT implemented the Taiwania 3 supercomputer with an ultra dense multi-node server that utilizes dual Intel Xeon Scalable Processors with InfiniBand HDR100 100Gbps high-speed network with high-efficiency parallel and distributed computing. The Taiwania 3 benefits from all the capabilities of a modern cloud infrastructure, including rapid deployment, liquid cooling and 50,400 computing cores.

QCT Drives Your Data Center to Success

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.

Downloads

  • QCT POD for Higher Education and ResearchA Purpose-built Solution for Converged HPC and AI Workloads
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  • QCT POD for HER Datasheet
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  • MEET COMPUTATIONAL CHEMISTRY WORKLOADS NEEDS WITH QCT POD SOLUTION
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