Looking at power availability as one goes up the I-95 corridor from Richmond, Virginia to Boston, Massachusetts there are some issues worth examining if one is thinking of situating a datacenter these days.
Today our friends at NVIDIA announced that Verne Global’s Icelandic data center has been selected as one of its initial three European DGX-Ready Data Center program partners. We’re delighted to be working with NVIDIA on this program and to have our data center identified as an optimal location for their powerful range of DGX AI supercomputers.
The Brexit divorce has now been pushed off until at least October 31 of this year, and as with any impending separation, it creates a good deal of uncertainty for all parties involved. For datacenters, there are two key issues of concern: 1) the ability to ensure a stable and affordable supply of electricity post-Brexit; and 2) issues relating to data and privacy. Being energy-focused, we will spend more time discussing the former.
A couple of weeks ago Frankfurt may have hosted the purveyors of the fastest machines on the planet at the International Supercomputing Conference ISC19, but it also was the location of a really fascinating meetup focused on innovation in the field of Artificial Intelligence.
Like a b-plot from a particularly bad Bond movie, the Huawei security scandal has been a bit of a slow burner, with the roots of the saga reaching right back to January 2019 at CES, when AT&T announced themselves as the first major partner to ditch the Chinese technology giant. The next month, the director of the FBI warned against buying their phones and by May, Huawei and ZTE phones (ZTE being another company with potential ties to the Chinese government) were banned on US military bases. In the ensuing months, established partnerships began dropping like flies.
My summer usually starts with the International Super Computing (ISC) show in Frankfurt, and this year was no exception. Across the previous week in London at the AI Summit it rained every day, but thankfully high-performance computing’s influence on weather forecasting clearly shone through and in Frankfurt it was sunny and a warm 30⁰C.
Jan Witte, a leading quantitative analyst, writes for us about the predictive power of high-performance computing in finance and how the principles of machine learning apply to AI.
When you imagine what visualisation is in the world of HPC, most people think of astronomy, such as images of galaxies or black holes, or they think of weather, like analyses of tornadoes or hurricanes. Astronomical and atmospheric data is huge, requires HPC to analyse, and can make for amazing, sophisticated visualisations.
In an interesting Medium Article, Andrew Leonard wrote about how Amazon may be starting to compete with some of its Open Source software partners. Andrew’s article delved into the specifics of the case involving Elastic and their Elasticsearch open source software. Elastic has been happy to offer Elasticsearch in its Open Source form on the AWS platform, and many customers were happy to consume Elastic’s capabilities that way.
Consisting of the combination of biology, computer science, and mathematics, the science of bioinformatics has advanced rapidly in recent years. Thanks in part to HPC (high performance computing) and the expanding knowledge of and expertise in how to collect and analyse growing datasets, industries from agriculture to healthcare and more are experiencing the benefits of a bioinformatics revolution.
This article will provide examples of bioinformatics in industry and describe advancements in applications and compute power that have helped to raise the impact of bioinformatics to new heights that are changing the world.
As we all know, being the new kid on the block means it sometimes take a little while to make friends and break into those well established networks and friendship circles. It can also be pretty daunting, especially if those friendship circles are deep rooted. Who needs the new guy?
How data is collected and analysed is changing at exponential rates. In industry — and I know this from talking and consulting with hundreds of companies — so much data is being collected that many companies are either confused with, or overwhelmed by, all of the ways to leverage and analyse their data.