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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.

XTREME-D IaaS Platform Works to Simplify HPC Cloud Cluster Management

An IaaS platform can help keep HPC cloud cluster users out of the cluster management business. A new white paper from XTREME-D, “Point and Click HPC: The XTREME-Stargate IaaS Platform”, explores how the Stargate platform, that provides a web portal to cluster resources, can increase user efficiency, eliminate cluster administration costs and acts as a “pay-as-you-go” cloud model, simplifying HPC cloud clusters and making them more accessible.

Deconstructing the Complexities of the Data Pipeline for Connected Cars

A connected car can generate up to a gigabyte of data per day, and perhaps even more. Impressively, it is estimated that there are approximately 2 million connected cars on our roadways at this very moment. This means the storage demands can be up to 200 exabytes per day. IBM walks readers through the complexities of the data pipeline for connected cars, and how to address these challenges and storage questions. 

Solving the Data Management Challenge of Autonomous Driving

The action of driving an automobile is destined to take a very different route in the coming years as autonomous cars become commonplace on our roadways. The notion of autonomous driving is both scary and exciting, pushing the boundaries of what we know. IBM takes a look at one of the most vexing technology challenges posed by autonomous vehicles: how to manage all the data used in artificial intelligence development.

The Right Terminations for Reliable Liquid Cooling in HPC

High performance computing manufacturers are increasingly deploying liquid cooling. To avoid damage to electronic equipment due to leaks, secure drip-free connections are essential. Quick disconnects for HPC applications simplify connector selection. And with expensive electronics at stake, understanding the components in liquid cooling systems is critical. This article details what to look for when seeking the optimal termination for connectors—a way to help ensure leak-free performance.

Parabricks and SkyScale Raise the Performance Bar for Genomic Analysis

“In the modern world of genomics where analysis of 10’s of thousands of genomes is required for research, the cost per genome and the number of genomes per time are critical parameters. Parabricks adaption of the GATK4 Best Practice workflows running seamlessly on SkyScale’s Accelerated Cloud provides unparalleled price and throughput efficiency to help unlock the power of the human genome.”

How to Control the AI Tsunami

Clients tell us there is a wide range of users beyond data scientists that want to get in on the AI action as well, so we recently updated LiCO with new “Lenovo Accelerated AI” training and inference templates. These templates allow users to simply bring their dataset into LiCO and request cluster resources to train models and run inference without coding.”

Making Storage Bigger on the Inside

This sponsored post from HPE delves into how tools like HPE Data Management Framework are working to make HPC storage “bigger on the inside” and streamline data workflows. “DMF seamlessly moves data between tiers, whether they’re “hot” tiers based on flash storage, “warm” tiers based on hard drives or “cold tiers based on tape.”