Many great adventures start with naivety, sadly this blog was one of them. My intention was to provide a high-level overview of the advancements in Deep Neural Networks (DNN training) techniques during the last few years. Unfortunately, I struggle to pontificate about something I don’t comprehend well, so starting with the popular Convolutional Neural Networks I rapidly discovered a multitude of its variants. No worries, how hard can it be to research each new term/concept related to Coder/Decoder networks?
“There is no such thing as the cloud, only other people’s computers.” I’ve hosted seminars with senior IT professionals for several years now and whenever the subject is ‘the cloud’, someone always delivers this line. I don’t know who said it first, but it’s become a cliché.
While not as certain as death and taxes, there are signs that high-density racks will finally become more commonplace thanks to AI and other compute intensive workloads.
Headlines over the past several months addressing energy use and Bitcoin mining would have one believe the world’s supply of power is about to be devoted solely to large computers trying to solve complex algorithms in the global pursuit of profit. Is this really the case?
You can find data centers in all sorts of places these days. As well as lurking in anonymous grey sheds on the edge of town, they're underground, up mountains, on ships, even underwater. The reasons for this plethora of seemingly bizarre choices of location are many and varied but security is clearly a key driver, and from what I can see - an increasing one.
The digital technology era has brought us adtech, fintech, fittech, medtech and many more buzzwords. A new one has grown in popularity over the last year or so: Regtech.
On the cusp of spring I regularly refresh my GPU technology suntan at the Nvidia GPU Technology Conference (GTC) in San Jose. This year was fascinating as the speed and scale of both AI and Virtual Reality industries has leapt forward. Here are my takeaways...
You might think that the issue of air purity in data centers is done and dusted, so to speak. We all know how to handle electronics, and the dust and pollutants in air are well understood. However it turns out that air contamination is a live issue and attempts to clean up other parts of the data center environment could have unintended consequences on the atmosphere inside the data center.
Since Sebastian Thrum and his team used machine learning to win the DARPA Grand Challenge in 2005, machine learning and deep learning have been an integral part of developing autonomous vehicle technology. Great progress is being made, but complex questions remain. My latest blog looks at these issues.
For years, data centers have been haunted by the threat of power outages and the associated costs of such events. This situation is getting worse, with the most recent numbers from a 2016 report by the Ponemon Institute indicating that the average costs of a data center outage rose from $505,500 in 2010 to over $740,000 in 2015, while the maximum cost increased from $1.0 million to $2.4 million. How can next generation energy storage solutions help?
For some time now, I’ve been trying to talk more about “digital infrastructure” than “data centers”. That’s because the connections that link data centers, their users and other resources such as power, are just as important as the servers and infrastructure inside the buildings. When it comes to the 'Edge' - new, exciting opportunities could exist for telecommunications providers...
In previous Verne Global blogs we’ve explored how HPC is being used throughout industry to make cars both faster and safer, to discover new materials and to advance bioinformatics. HPC has made many equally important contributions to the science of understanding our earth and the solar system around us, and it's an understanding that’s become increasingly important in the age of anthropogenic climate change.
The direction of travel for the industry should be away from tightly controlled cooling to a more easygoing approach.