VMware’s Distro of OpenStack Comes Free for vSphere Customers
The biggest use case for VIO is to create developer clouds.
The biggest use case for VIO is to create developer clouds.
Thanks to all who joined us for the Nokia NFVI Report Webinar, Why Nokia’s OCP-compliant AirFrame and SDN Solutions form the perfect NFVi Foundation. Read the full Q&A.
Dates 8-9 May, Kigali, Rwanda
The first ever African Regional Internet Development Dialogue (RIDD) was launched in Rwanda, Kigali on the 8 of May 2017, placing SDG 4 on Education at the center of the conversation of the first day of the meeting. Delegates had an opportunity to explore how the Internet can provide quick wins for education, but most importantly come up with real solutions that can be implemented immediately.
For Africa a skilled workforce that utilizes ICTs effectively is a key factor in determining its competitiveness in the global digital economy and fully exploiting its potential for sustainable growth. It is the basis for social and economic development, and the foundation of an Internet for everyone.
Although the majority of the features added to Ansible 2.3 were networking related, that’s not all folks!
There were several significant changes around module management, the Core engine, and Microsoft Windows support we’d love to show off.
For full details on the release, check out the changelog here.
In prior releases, Ansible was organized in two separate module repositories: Ansible-modules-core and Ansible-modules-extras.
The intent was to differentiate the repositories in terms of code quality, feature enablement, and supportability of the modules. We believe we’ve developed a better process.
At the launch of 2.3, Ansible has moved to a metadata-based system for modules. Ansible modules now include an ANSIBLE_METADATA Block which specifies a support category: Core, Curated or Community.
In the new system, modules will be following a specific process per category.
Core modules
Modules that the Ansible engineering team directly maintain, and will ship with Ansible. These modules also receive slightly higher priority for pull requests. Any issues that are opened Continue reading
While it is always best to have the right tool for the job, it is better still if a tool can be used by multiple jobs and therefore have its utilization be higher than it might otherwise be. This is one of the reasons why general purpose, X86-based computing took over the datacenter. Economies of scale trumped the efficiency that can come from limited scope or just leaving legacy applications alone in place on alternate platforms.
The idea of offloading computational tasks from CPUs to GPU accelerators took off in academia a little more than a decade ago, and …
Crunching Machine Learning And Databases Together On GPUs was written by Timothy Prickett Morgan at The Next Platform.
The post Worth Reading: Be careful what you wish for appeared first on rule 11 reader.
Industrial companies have replaced people with machines, systems analysts with simulations, and now the simulations themselves could be outpaced by machine learning—albeit with a human in the loop, at the beginning at least.
The new holy grail of machine learning and deep learning, as with almost any other emerging technology set, is to mask enough of the complexity to make it broadly applicable without lose the performance and other features that can be retained by taking a low-level approach. If this kind of deep generalization can happen, a new mode of considering how data is used in research and enterprise …
Generalizing a Hardware, Software Platform for Industrial AI was written by Nicole Hemsoth at The Next Platform.