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Advancement in AI & Machine Learning Calls For New HPC Solutions

High performance computing has gone through numerous shifts in the past few years. The new HPC, inclusive of analytics and AI, and with its wide range of technology components and choices, presents significant challenges to a commercial enterprise. A new report from Lenovo explores the intersection of HPC and AI, as well tips on how to choose the right HPC provider for your enterprise. 

Finding a Solution for Ai in Government

A new special report from insideHPC, courtesy of Dell EMC and NIVIDa explores current machine learning applications in government. And this excerpt breaks down solutions for AI in government, including Dell EMC Ready Solutions. Dell EMC Ready Solutions for AI are validated hardware and software stacks optimized to accelerate AI initiatives, shortening the time to architect a new solution by six to 12 months.

Today’s Application of Ai Within Government

Across the globe, governments are acknowledging the potential of AI technologies to impact our daily lives, from how we make purchasing decisions to improving our healthcare. But there are several reasons why government agencies may be hesitant to adopt AI technologies. A new insideHPC Guide, courtesy of Dell EMC and NVIDIA, explores what’s next for government AI, as well as already tangible results of AI and machine learning.

How AI is Changing the Media & Entertainment Industry

This insideHPC guide series explores how artificial intelligence is revolutionizing and evolving the media and entertainment industries. To get things started, this post offers up an overview of how AI is impacting the entertainment industry and the future of these sectors. 

A Guide to High Performance Computing in the AWS Cloud

A new ebook from Intel and AWS explores how AWS cloud can mitigate some of today’s top HPC challenges and enable engineers and researchers to innovate without constraints. “Most HPC processing is still conducted using on-premises systems. But for those companies unwilling to invest in new hardware to handle peak demands, moving HPC workloads to the cloud may be the answer.”

HPC Cloud Drives Innovation & Accelerates Time to Results

HPC applications and workloads have been constrained by limited on-premises infrastructure capacity, high capital expenditures and the constant need for technology refreshes. But there may be an answer: running your HPC workloads in the cloud. “According to the report, hundreds of companies in life sciences, financial services, manufacturing, energy and geo sciences, media and entertainment are solving complex challenges and speeding up time to results using HPC on AWS.”

Virtualization Adds Value, Benefits to HPC Environments

VMware explores the concepts of virtual throughput clusters and CPU overcommitment with VMware vSphere to create multitenant and agile virtual HPC computing environments.

Xtreme-D Showcases Innovative Solutions for Managing HPC Clouds at ISC 2018

In this video from ISC 2018 in Frankfurt, Naoki Shibata from Xtreme-D describes the company’s the company’s innovative solutions for deploying and managing HPC clouds. “Customers can use our easy-to-deploy turnkey HPC cluster system on public cloud, including setup of HPC middleware (OpenHPC-based packages), configuration of SLURM, OpenMPI, and OSS HPC applications such as OpenFOAM. The user can start the HPC cluster (submitting jobs) within 10 minutes on the public cloud.”

How AI & Machine Intelligence is Assisting Clinicians

According to a new Ovum white paper, sponsored by NVIDIA, there is a huge opportunity to help physicians with AI-based systems that can cut down on the workload across protocoling, imaging analysis, and automated reporting of the results.

NVIDIA Offers Framework to Solve AI System Challenges

At the recent NVIDIA GPU Technology Conference (GTC) 2018, Jensen Huang, NVIDIA President and CEO, during his presentation focused on a new framework designed to contextualize the key challenges using AI systems and delivering deep learning-based solutions. A new white paper sponsored by NVIDIA outlines these requirements — coined PLASTER.