The Infrastructure behind the Outputs: Cloud and HPC Unlock the Power of AI

In this contributed article, Philip Pokorny, Chief Technology Officer for Intelligent Platform Solutions/Penguin Solutions at SGH, provides insights regarding the relationship between high-performance computing (HPC) and generative AI and his expert point-of-view of the growing market. The increasing momentum behind generative AI in recent months has raised the prospective capabilities of enterprise businesses. At the forefront of this technology will be those that leverage HPC to create their solutions.

Life is Fleeting, But Data is Forever – Meet your Digital Twin

[SPONSORED POST] With the transformation of medicine from analog to digital, plus the rise of new data-generating devices for health tracking and genomic information, we can look forward to a new world in which virtually every aspect of a patient’s medical history can be communicated, stored, and manipulated. For each patient, this huge body of data represents a sort of digital twin, a treasure trove of useful medical information and insights that could become invaluable in developing patient treatments in the future.

Revolutionizing Bioscience Research: Creating an Atlas of the Human Body

Making healthcare and life science (HCLS) discoveries is time-consuming and requires considerable amounts of data. HPC enterprise infrastructure with AI and edge to cloud capabilities is required for biomedical research to make creating a human atlas of the body possible. The HPE, NVIDIA and Flywheel collaboration using the latest technologies designed for HCLS promise to transform biomedical research.

Exxact Partners with Run:ai to Offer Maximal Utilization in GPU Clusters for AI Workloads

Exxact Corporation; a leading provider of high-performance computing (HPC), artificial intelligence (AI), and data center solutions; now offers Run:ai in their solutions. This groundbreaking Kubernetes-based orchestration tool incorporates an AI-dedicated, high-performant super-scheduler tailored for managing GPU resources in AI clusters.

AMAX Launches GPU Servers Powered by Intel’s Newest Data Center GPU Flex Series for AI, Gaming, & Media Streaming

AMAX, a leading provider of turnkey rack-scale High Performance Computing (HPC) solutions, Deep Learning/AI applications and server appliance manufacturing, announces the new AceleMax X-122-Flex server solution featuring Intel’s next-generation Data Center GPU Flex Series, (formerly code-named Arctic Sound-M), providing the capability of a graphics processing (GPU) solution handling high density and complex workloads targeted towards media delivery, cloud gaming, AI, metaverse, and other emerging visual cloud use cases.

High-Performance Computing Essentials … And Why Analytics is Forever Grateful

In this contributed article, editorial consultant Jelani Harper discusses how the basics of High-Performance Computing (HPC) are fairly well known by those acquainted with even a modest amount of computer science. Instead of relying on a single machine for computations, HPC approaches involve multiple machines, which produce two notable effects that directly benefit analytics.

Infographic: The Fastest Supercomputers Ever Built and Who Built Them

Supercomputers are an important part of computational science, including weather forecasting, climate research, quantum mechanics, molecular modeling, and cryptanalysis, as they are able to process information more quickly than a traditional computer. The United States has historically been a leader in supercomputer development, but other countries’ technology and research have been catching up. The HP research team consulted data from supercomputer ranking project TOP500 to visualize the most powerful supercomputers in the world as well as their country and company of development.

insideBIGDATA Guide for Higher Education

The goal for this Guide sponsored by Dell Technologies is to provide direction for enterprise thought leaders on ways of leveraging big data technologies in support of analytics proficiencies designed to work more independently and effectively across a few distinct areas in higher education: student success  and workforce readiness, simplified systems and processes, and accelerate research.

Knowledge Graphs 2.0: High Performance Computing Emerges

In this contributed article, editorial consultant Jelani Harper discusses The how increasing reliance on knowledge graphs parallels that of Artificial Intelligence for three irrefutable reasons. They’re the most effective means of preparing data for statistical AI, creditable knowledge graph platforms utilize supervised and unsupervised learning to accelerate numerous processes, and their smart inferences are a form of machine intelligence.

NVIDIA A100, A40 and NVIDIA RTX A6000 Ampere Architecture-Based Professional GPUs Transform Data Science and Big Data Analytics

Scientists, researchers, and engineers are solving the world’s most important scientific, industrial, and big data challenges with AI and high-performance computing (HPC). Businesses, even entire industries, harness the power of AI to extract new insights from massive data sets, both on-premises and in the cloud. NVIDIA Ampere architecture-based products, like the NVIDIA A100 or the NVIDIA RTX A6000, designed for the age of elastic computing, deliver the next giant leap by providing unmatched acceleration at every scale, enabling innovators to push the boundaries of human knowledge and creativity forward.