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2019: The Year of PCI Express 4.0

Computer systems are about to get a whole lot faster. This year starting at the high end of the market a transition will begin toward systems based on PCI Express 4.0. The interconnect speed will double to 64GB/sec in a 16 lane connection. Tim Miller, Vice President Strategic Development for One Stop Systems, explores the expected speed and innovation stemming from the introduction of PCI Express 4.0. 

Podcast: How Real is Ai Anyway?

In this podcast, the Radio Free HPC team discusses AI, bias in AI, and just how real AI actually is. “Ethics in AI, policy, legal framework are all big threads here. The trigger is the rather funny article from The Register: Artificial Intelligence, You Know it isn’t real, yeah?”

Augmenting & Automating Operations in Government

The Air Force’s top training official said it is moving toward a new “paradigm” for how it teaches airmen to fly airplanes. A new special report from insideHPC, courtesy of Dell EMC and NIVIDA, explores current machine learning applications in government. This excerpt covers recent research on the potential of AI technology in the U.S. Federal government, as well as how government AI is being used in U.S.Air Force pilot training strategies.

Making Computer Vision Real Today – For Any Application

With the demand for intelligent vision solutions increasing everywhere from edge to cloud, enterprises of every type are demanding visually-enabled – and intelligent – applications. Up till now, most intelligent computer vision applications have required a wealth of machine learning, deep learning, and data science knowledge to enable simple object recognition, much less facial recognition or collision avoidance. That’s changed with the introduction of Intel’s Distribution of OpenVINO toolkit.

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.