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Accelerate Your Development of GPU Based Innovative Applications

In this sponsored post by our friends over at AMD, we take a deep into how GPUs have become an essential component of innovative organizations that require the highest performing clusters, whether one server or thousands of servers. Many High-Performance Computing (HPC) and Machine Learning (ML) applications have demonstrated tremendous performance gains by using one or more GPUs in conjunction with powerful CPUs. Over 25% of the Top500 list of the most powerful supercomputers on this planet use accelerators, specifically GPUs, to achieve teraflop and petaflop speeds.

Supermicro Contributes to the MN-3 Supercomputer Earning #1 on Green500 List

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

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.

Smaller, faster and cooler: Innovations in Dell Precision mobile workstations surmount the latest thermal challenges

This white paper describes that with the latest Precision models, Dell continues to pioneer smarter thermals for mobile workstations that allow processor and GPU innovations to evolve so you can be more productive. To get the peak performance your demanding workloads require in easily portable sizes, Dell Technologies has Precision mobile workstations that best meets your needs.

Why developers are turning to ultra-powerful workstations for more creative freedom at less cost

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.

Exascale Exasperation: Why DOE Gave Intel a 2nd Chance; Can Nvidia GPUs Ride to Aurora’s Rescue?

The most talked-about topic in HPC these days – another Intel chip delay and therefore delay of the U.S.’s flagship Aurora exascale system – is something no one directly involved wants to talk about. Not Argonne National Laboratory, where Intel was to install Aurora in 2021; not the Department of Energy’s Exascale Computing Project, guiding […]

Nissan Shifts to Oracle Cloud for CFD, 3D Visualization HPC Design Workloads

Oracle announced today that Nissan Motor Co. is migrating its on-premises engineering simulation HPC workloads to run on the Oracle Cloud Infrastructure. Nissan uses computational fluid dynamics (CFD) and structural simulation techniques to design and test cars for external aerodynamics and structural failures. Oracle said Nissan chose its cloud platform for its bare-metal compute, RDMA […]

Oxford, Atos in Deal for Nvidia 63-Node DGX System, Said to be UK’s Largest AI Supercomputer

The University of Oxford has signed a £5 million with Atos, provider of  hybrid cloud and big data solutions, to deliver what the two organizations say will be the UK’s largest AI-focused supercomputer, a deep learning system built on the Nvidia DGX SuperPOD architecture. Funded by the Engineering and Physical Sciences Research Council (EPSRC), the […]

Video: VMware Talks GPU Virtualization, Sharing for AI/ML

In this video, Mike Adams, VMware’s Senior Director CPBU, AI/ML Market Development, talks with us about a new, integrated VMware vSphere 7 feature enabling “elastic infrastructure” on-demand for AI and machine learning. VMware vSphere Bitfusion is a result of VMware’s 2019 acquisition of Bitfusion, developer of virtualized hardware accelerators, including GPUs, used to improve performance of AI/ML workloads.

Paradigm Change: Reinventing HPC Architectures with In-Package Optical I/O

In this white paper, our friends over at Ayar Labs discuss an important paradigm change: reinventing HPC architectures with in-package optical I/O. The introduction of in-package optical I/O technology helps HPC centers accelerate the slope of compute progress needed to tackle ever-growing scientific problem sizes and HPC/AI convergence. Ayar Labs expects to not only see its technology extend the traditional type of architecture to put the HPC industry back on track, but also result in an inflection point that fundamentally changes the  slope of the compute performance efficiency curve. The key will be enabling converged HPC/AI centers to  build systems with disaggregated CPUs, GPUs, FPGAs and custom ASICs interconnected on equal footing.