In this sponsored post from our friends over at Quanta Cloud Technology (QCT), review how QCT brings out the concept called QCT Platform on Demand (QCT POD), which is a converged framework with a flexible infrastructure for customers running different workloads. Under this concept, QCT develops the QCT POD for Medical (QPM) that is an on-premise rack-level system with common building blocks designed to provide greater flexibility and scalability, aimed to meet different medical workload demands using HPC and DL technologies, including Next Generation Sequencing (NGS), Molecular Dynamics (MD), and Medical Image Recognition.
insideHPC Guide to QCT Platform-on-Demand Designed for Converged Workloads – Part 4
December 17, 2020 by
In this insideHPC technology guide, “insideHPC Guide to QCT Platform-on-Demand Designed for Converged Workloads,”as we’ll see, by relying on open source software and the latest high performance/low cost system architectures, it is possible to build scalable hybrid on-premises solutions that satisfy the needs of converged HPC/AI workloads while being robust and easily manageable.
insideHPC Guide to QCT Platform-on-Demand Designed for Converged Workloads – Part 3
December 11, 2020 by
In this insideHPC technology guide, “insideHPC Guide to QCT Platform-on-Demand Designed for Converged Workloads,”as we’ll see, by relying on open source software and the latest high performance/low cost system architectures, it is possible to build scalable hybrid on-premises solutions that satisfy the needs of converged HPC/AI workloads while being robust and easily manageable.
insideHPC Guide to QCT Platform-on-Demand Designed for Converged Workloads – Part 2
November 30, 2020 by
In this insideHPC technology guide, “insideHPC Guide to QCT Platform-on-Demand Designed for Converged Workloads,”as we’ll see, by relying on open source software and the latest high performance/low cost system architectures, it is possible to build scalable hybrid on-premises solutions that satisfy the needs of converged HPC/AI workloads while being robust and easily manageable.
insideHPC Guide to QCT Platform-on-Demand Designed for Converged Workloads
November 12, 2020 by Leave a Comment
Not too long ago, building a converged HPC/AI environment – with two domains: High Performance Computing (HPC) and Artificial Intelligence (AI) – would require spending a lot of money on proprietary systems and software with the hope that it would scale as business demands changed. In this insideHPC technology guide, as we’ll see, by relying on open source software and the latest high performance/low cost system architectures, it is possible to build scalable hybrid on-premises solutions that satisfy the needs of converged HPC/AI workloads while being robust and easily manageable.
Get Your HPC Cluster Productive Faster
September 24, 2020 by
In this sponsored post from our friends over at Quanta Cloud Technology (QCT), we see that by simplifying the deployment process from weeks or longer to days and preparing pre-built software packages, organizations can become productive in a much shorter time. Resources can be used to provide more valuable services to enable more research, rather than bringing up an HPC cluster. By using the services that QCT offers, HPC systems can achieve a better Return on Investment (ROI).
insideHPC Special Report Optimize Your WRF Applications – Part 3
September 21, 2020 by
A popular application that simulates climate change is the Weather and Research Forecasting (WRF) model. This white paper discusses how QCT can work with leading research and commercial organizations to lower the Total Cost of Ownership by supplying highly tuned applications that are optimized to work on leading-edge infrastructure.
insideHPC Special Report Optimize Your WRF Applications – Part 2
September 17, 2020 by
A popular application that simulates climate change is the Weather and Research Forecasting (WRF) model. This white paper discusses how QCT can work with leading research and commercial organizations to lower the Total Cost of Ownership by supplying highly tuned applications that are optimized to work on leading-edge infrastructure.
insideHPC Special Report Optimize Your WRF Applications
September 8, 2020 by
A popular application that simulates climate change is the Weather and Research Forecasting (WRF) model. This white paper discusses how QCT can work with leading research and commercial organizations to lower the Total Cost of Ownership by supplying highly tuned applications that are optimized to work on leading-edge infrastructure.
