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
October 16, 2020 by
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
October 12, 2020 by Leave a Comment
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.
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).
Supermicro and Preferred Networks (PFN) Collaborate to Develop the World’s Most Efficient Supercomputer
September 10, 2020 by Leave a Comment
Supermicro and Preferred Networks (PFN) collaborated to develop the most efficient supercomputer anywhere on earth, earning the #1 position on the Green500 list. This supercomputer, the MN-3, is comprised of Intel® Xeon® CPUs and MN-Core™ boards developed by Preferred Networks. In this white paper, read more about this collaboration and how a record-setting supercomputer was developed.
Using AI to See What Eye Doctors Can’t
September 4, 2020 by Leave a Comment
This white paper explains how Voxeleron, a leader in delivering advanced ophthalmic image analysis and machine learning solutions, is extending ophthalmology’s diagnostic horizons with image analysis based on artificial intelligence (AI) models, trained using Dell Precision workstations with NVIDIA GPUs.
Why developers are turning to ultra-powerful workstations for more creative freedom at less cost
September 4, 2020 by Leave a Comment
This white paper from Dell Technologies discusses why developers are turning to ultra-powerful workstations for more creative freedom at less cost. Research shows that large and small companies alike are using powerful workstations with even more powerful graphic processing units (GPUs) as integral parts of their artificial intelligence infrastructure.
IDC: Led by U.S., Global AI Spending Will More than Double by 2024
September 1, 2020 by
Those predicting another “AI winter” will have a quarrel on their hands with industry analyst firm International Data Corp., which forecasts global spending on AI will more than than double over the next four years, from $50.1 billion in 2020 to more than $110 billion in 2024. According to IDC’s Worldwide Artificial Intelligence Spending Guide, AI […]
An Adaptive Platform for Converged HPC/AI Workloads
August 17, 2020 by
In this sponsored post from our friends over at Quanta Cloud Technology (QCT), we see that from many years of experience working with numerous customers, the company found that converged HPC and AI environments can bring benefits for customers and remain flexible enough to meet their workload demands. A proven approach to getting customers HPC and AI systems productive quickly is to deliver all the components together, integrated, and tested. The components should be selected based on the known and anticipated workloads and optimized for these requirements.
Rugged COTS Platform Takes On Fast-Changing Needs of Self-Driving Trucks
April 28, 2020 by
This white paper by Advantech, “Rugged COTS Platform Takes On Fast-Changing Needs of Self-Driving Trucks” discusses how the fast-changing needs of autonomous vehicles are forcing compute platforms to evolve. Advantech and Crystal Group are teaming up to power that evolution based on AV trends, compute requirements, and a rugged COTS philosophy converging for breakthrough innovation in self-driving truck designs.
