Sign up for our newsletter and get the latest HPC news and analysis.
Send me information from insideHPC:


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.

Lenovo Enables Solutions for the ‘New HPC’

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. Ultimately, the new HPC brings about opportunities that are worth the challenges. This whitepaper from Lenovo outlines new markets, workloads and technologies in HPC, as well as how its own products and tech are addressing the solution needs of the “new HPC.”

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.

An insideHPC Guide: Augmented Intelligence in Government

Today, through their ability to adapt, solve problems and simulate human intelligence, AI-based applications are being used across industries and sectors to supplement human ability. Download the new special report from insideHPC, “Augmented Intelligence in Government,” brought to you by Dell, to discover the latest technologies that underpin AI, explore current machine learning applications in government, learn from real-world successes, and see how government agencies can benefit from AI.

Point and Click HPC: The XTREME-Stargate laaS Platform

XTREME-D’s next step in offering seamless HPC/DA/DL computing is the XTREME-Stargate gateway platform, or cluster portal. This on-prem device acts as a cluster “head node” and provides secure and fast access to bare-metal clusters that are configured using enhanced XTREME-DNA technology. Download the full paper to learn more about how XTREME-Stargate offers a “super head node” for HPC cloud clusters.

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. 

Virtualizing HPC Throughput Computing Environments

This pioneering study focuses primarily on the virtual performance of throughput workloads. Download the new white paper from VMWare that explores the possibilities of virtualizing HPC throughput in computing environments. 

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.

Where Ready Nodes are the Optimal Choice

The perennial question for IT asset acquisition is whether to build or consume, and there is no ‘one size fits all’ answer to the question. Individual components provide the maximum flexibility, but also require the maximum of self support. Reference architectures provide the recipe and guidance, but the customer still has the responsibility for making the system work.