Imagine you wanted to have an Internet connection and someone decided that you had to wait an undefined amount of time (maybe a year, maybe 10 years) to get access. Would you find it fair? I wouldn’t!
Unfortunately, this is the situation that millions of people in remote communities around the world have to accept. They will have Internet access only when operators decide to give them access which can be in a decade or more. These people won’t enjoy all the benefits we are enjoying today for a long time. And as more and more services go online – and exclusively online – they will not get the services they used to have since the services have moved to a new place where they are not allowed to be.
This is happening because operators can’t expand everywhere at the same time; they have to choose where they go this year, then next year, etc. There are some places where they will never go because those places are not going to bring them money. Among those regions that operators will never choose to go, we find, sadly, are the poorest rural areas that desperately need the economic and development opportunities Continue reading
Networking pros with these job titles typically make more than $109,000 per year.
The post Tier 1 carrier performance report: November, 2017 appeared first on Noction.
Here’s a question I got on one of my ancient blog posts:
How many OSPF process ID can be used in a single VRF instance?
Seriously? You have to ask that? OK, maybe the question isn’t as simple as it looks. It could be understood as:
Read more ...Striking acceptable training times for GPU accelerated machine learning on very large datasets has long-since been a challenge, in part because there are limited options with constrained on-board GPU memory.
For those who are working on training against massive volumes (in the many millions to billions of examples) using cloud infrastructure, the impetus is greater than ever to pare down training time given the per-hour instance costs and for cloud-based GPU acceleration on hardware with more memory (the more expensive Nvidia P100 with 16 GB memory over a more standard 8 GB memory GPU instance). Since hardware limitations are not …
Faster Machine Learning in a World with Limited Memory was written by Nicole Hemsoth at The Next Platform.
The company says the new capabilities don't compete with its service provider customers.
It has been a long time coming, but hyperconverged storage pioneer Nutanix is finally letting go of hardware, shifting from being an a server-storage hybrid appliance maker to a company that sells software that provides hyperconverged functionality on whatever hardware large enterprises typically buy.
The move away from selling appliances was something that The Next Platform has been encouraging Nutanix to do to broaden its market appeal, but until the company reached a certain level of demand from customers, Nutanix had to restrict its hardware support matrix so it could affordably put a server-storage stack in the field and not …
Disaggregated Or Hyperconverged, What Storage Will Win The Enterprise? was written by Timothy Prickett Morgan at The Next Platform.
IHS Markit research sheds light on top vendors in hot software-defined WAN space.
The Silicon Valley firm is working with Telefonica to demo the technology.
PayPal is committed to democratizing financial services and empowering people and businesses to join and thrive in the global economy. Their open digital payments platform gives 218 million active account holders the confidence to connect and transact in new and powerful ways. To achieve this, PayPal has built a global presence that must be highly available to all its users: if PayPal is down, the effects ripple down to many of their small business customers, who rely on PayPal as their sole payment processing solution.
PayPal turned to Docker Enterprise Edition to help them achieve new operational efficiencies, including a 50% increase in the speed of their build-test-deploy cycles. At the same time, they increased application availability through Docker’s dynamic placement capabilities and infrastructure independence; and they improved security by using Docker to automate and granularly control access to resources. On top of the operational benefits, PayPal’s use of Docker empowered developers to innovate and try new tools and frameworks that previously were difficult to introduce due to PayPal’s application and operational complexity.
Meghdoot Bhattacharya, Cloud Engineer at PayPal, shared the journey his team has helped PayPal undertake over the course of the past two years to introduce Docker in Continue reading
The release builds on its contributions to past Kubernetes projects.
Aryaka also gains revenue prominence among SD-WAN vendors.