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Massive Scalable Cloud Storage for Cloud Native Applications

In this comprehensive technology white paper, written by Evaluator Group, Inc. on behalf of Lenovo, we delve into OpenShift, a key component of Red Hat’s portfolio of products designed for cloud native applications. It is built on top of Kubernetes, along with numerous other open source components, to deliver a consistent developer and operator platform that can run across a hybrid environment and scale to meet the demands of enterprises. Ceph open source storage technology is utliized by Red Hat to provide a data plane for Red Hat’s OpenShift environment.

insideHPC Guide to QCT Platform-on-Demand Designed for Converged Workloads

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.

Be (More) Wrong Faster – Dumbing Down Artificial Intelligence with Bad Data

In this white paper, our friends over at Profisee discuss how Master Data Management (MDM) will put your organization on the fast track to automating processes and decisions while minimizing  resource requirements, while simultaneously eliminating the risks associated with feeding AI and ML data  that is not fully trusted. In turn, your digital business transformation will be accelerated and your competitive  edge will be rock solid.

Using Workstations To Reshape Your Artificial Intelligence Infrastructure

The study results summarized in this white paper show that firms are already using workstations to lower the cost, increase the security, and speed up their AI infrastructure. The addition of workstations into a firms AI workflow allows servers and cloud platforms to be tasked with business cases that require more robust computing while workstations take on tasks with longer time frames and smaller budgets.

A Checklist For Artificial Intelligence On Workstations

Firms of all sizes are leveraging workstations as part of their artificial intelligence (AI) workflows. In the past, many firms relied on highly-scaled servers in data centers or private/public cloud infrastructure to run their AI  applications. However, the results of a recent survey commissioned by Dell and executed by Forrester summarized in this white paper have indicated a quarter of firms are actually using workstations today to run core AI business applications and are  experiencing the benefits that workstations can offer.

insideHPC Guide to HPC/AI for Energy

In this technology guide, we take a deep dive into how the team of Dell Technologies and AMD is working to  provide solutions for a wide array of needs for more strategic cultivation of oil and  gas energy reserves. We’ll start with a series of compelling use-case examples, and then introduce a number  of important pain-points solved with HPC and AI. We’ll continue with some specific solutions for the energy  industry by Dell and AMD. Then we’ll take a look at a case study examining how geophysical services and  equipment company CGG successfully deployed HPC technology for competitive advantage. Finally, we’ll  leave you with a short-list of valuable resources available from Dell to help guide you along the path with HPC and AI.

AI and HPC in Media & Entertainment

In this white paper sponsored by our friends over at Dell Technologies, we take a look at AI and HPC in Media & Entertainment where an increasing demand for digital media content creates need for faster rendering options.

Transform Your Business with the Next Generation of Accelerated Computing

In this white paper we discuss how Supermicro servers optimized for NVIDIA A100 GPUs are solving the world’s greatest HPC and AI challenges. As the expansion of HPC and AI poses mounting challenges to IT environments, Supermicro and NVIDIA are equipping organizations for success, with world-class solutions to empower business transformation. We are continually testing and validating advanced hardware featuring optimized software components to support a rising number of use cases.

Supermicro and Preferred Networks (PFN) Collaborate to Develop the World’s Most Efficient Supercomputer

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.