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Workload Portability Enabled by a Modern Storage Platform

In this sponsored post, Shailesh Manjrekar, Head of AI and Strategic Alliances, WekaIO, explores what is meant by “data portability,” and why it’s important. Looking at a customer pipeline, the customer context could be a software defined car, any IoT edge point, a drone, a smart home, a 5G tower, etc. In essence, we’re describing an AI pipeline which runs over an edge, runs over a core, and runs over a cloud. Therefore we have three high-level components for this pipeline.

Higher Education HPC Harnesses Increasing Data Sets to Unlock New Discoveries

Dell Technologies has long partnered with university-led supercomputing centers, working side-by-side with world-class researchers and scientists to develop, test and tune HPC systems for their workloads. This work often includes incorporating the newest processing technologies from AMD, such as second-generation AMD® EPYC™ processors.

Practical Hardware Design Strategies for Modern HPC Workloads – Part 3

This special research report sponsored by Tyan discusses practical hardware design strategies for modern HPC workloads. As hardware continued to develop, technologies like multi-core, GPU, NVMe, and others have allowed new application areas to become possible. These application areas include accelerator assisted HPC, GPU based Deep learning, and Big Data Analytics systems. Unfortunately, implementing a general purpose balanced system solution is not possible for these applications. To achieve the best price-to-performance in each of these application verticals, attention to hardware features and design is most important.

Practical Hardware Design Strategies for Modern HPC Workloads – Part 2

This special research report sponsored by Tyan discusses practical hardware design strategies for modern HPC workloads. As hardware continued to develop, technologies like multi-core, GPU, NVMe, and others have allowed new application areas to become possible. These application areas include accelerator assisted HPC, GPU based Deep learning, and Big Data Analytics systems. Unfortunately, implementing a general purpose balanced system solution is not possible for these applications. To achieve the best price-to-performance in each of these application verticals, attention to hardware features and design is most important.

Practical Hardware Design Strategies for Modern HPC Workloads

This special research report sponsored by Tyan discusses practical hardware design strategies for modern HPC workloads. As hardware continued to develop, technologies like multi-core, GPU, NVMe, and others have allowed new application areas to become possible. These application areas include accelerator assisted HPC, GPU based Deep learning, and Big Data Analytics systems. Unfortunately, implementing a general purpose balanced system solution is not possible for these applications. To achieve the best price-to-performance in each of these application verticals, attention to hardware features and design is most important.

Practical Hardware Design Strategies for Modern HPC Workloads

Many new technologies used in High Performance Computing (HPC) have allowed new application areas to  become possible. Advances like multi-core, GPU, NVMe, and others have created application verticals that  include accelerator assisted HPC, GPU based Deep Learning, Fast storage and parallel file systems, and Big  Data Analytics systems. In this special insideHPC technology guide sponsored by our friends over at Tyan, we look at practical hardware design strategies for modern HPC workloads.

insideHPC Special Report Optimize Your WRF Applications – Part 3

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

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

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.