Like with the Next-Generation Data Center course, the live sessions in the Building Network Automation Solutions course include guest speakers, Q&A discussions, and solutions to sample challenges that you’ll be able to use to complete your homework assignments.
The guest speakers for the January 2016 course include:
Read more ...The goal is to help customers tackle industry-specific IoT challenges.
In Supercomputing Conference (SC) years past, chipmaker Intel has always come forth with a strong story, either as an enabling processor or co-processor force, or more recently, as a prime contractor for a leading-class national lab supercomputer.
But outside of a few announcements at this year’s SC related to beefed-up SKUs for high performance computing and Skylake plans, the real emphasis back in Portland seemed to ring far fainter for HPC and much louder for the newest server tech darlings, deep learning and machine learning. Far from the HPC crowd last week was Intel’s AI Day, an event in …
Intel Declares War on GPUs at Disputed HPC, AI Border was written by Nicole Hemsoth at The Next Platform.
The future “Summit” pre-exascale supercomputer that is being built out in late 2017 and early 2018 for the US Department of Energy for its Oak Ridge National Laboratory looks like a giant cluster of systems that might be used for training neural networks. And that is an extremely convenient development.
More than once during the SC16 supercomputing conference this week in Salt Lake City, the Summit system and its companion “Sierra” system that will be deployed at Lawrence Livermore National Laboratory, were referred to as “AI supercomputers.” This is a reflection of the fact that the national labs around the …
Details Emerge On “Summit” Power Tesla AI Supercomputer was written by Timothy Prickett Morgan at The Next Platform.
It is hard to tell which part of the HPC market is more competitive: compute, networking, or storage. From where we sit, there is an increasing level of competition on all three fronts and the pressure to perform, both financially and technically, has never been higher. This is great for customers, of course, who are being presented with lots of technology to choose from. But HPC customers tend to pick architectures for several generations, so there is also pressure on them to make the right choices – whatever that means.
In a sense, enterprises and hyperscalers and cloud builders, who …
Networks Drive HPC Harder Than Compute was written by Timothy Prickett Morgan at The Next Platform.
In this post, I’m going to show you how to use the GNOME Keyring on Ubuntu 16.04 as a credential helper for Git. This post stems from my work in transitioning to Linux as my primary OS, an effort I’ve ratcheted up significantly in the last few weeks. What I’m including here isn’t new or ground-breaking information; I’m posting it primarily to make the information easier to find for others.
On Ubuntu 16.04, the basis for integrating GNOME Keyring into Git as a credential helper is already installed into the /usr/share/doc/git/contrib/credential/gnome-keyring
directory. However, if you try to simply run sudo make
in that directory, it will fail. In order to make it work, you must first install some additional development libraries:
sudo apt install libgnome-keyring-dev
Once you’ve installed this additional package, running sudo make
in that directory will quickly compile a binary named git-credential-gnome-keyring
. Once you have that binary, then you can configure Git to use GNOME Keyring as a credential helper. You can do this a couple of different ways:
You can use the git config
command, like this:
git config --global credential.helper /usr/share/doc/git/contrib/credential/gnome-keyring/git-credential-gnome-keyring
You can edit ~/.gitconfig
directly, using the text editor of your Continue reading