Carriers Monetising User Traffic on Their Networks
Substantial new business revenue gains from selling user data
The post Carriers Monetising User Traffic on Their Networks appeared first on EtherealMind.
Substantial new business revenue gains from selling user data
The post Carriers Monetising User Traffic on Their Networks appeared first on EtherealMind.
OSPF Prefix Suppression helps to company to use 200 routers in their network without any problem. You can think that, some companies use more than 200 routers in their OSPF network, why this post is special? You will understand why in 10 minutes. Yes that is true but those companies have either multi-area OSPF […]
The post OSPF Prefix Suppression helps company to use 200 routers appeared first on Cisco Network Design and Architecture | CCDE Bootcamp | orhanergun.net.
Earlier this week, I completed the migration of this site to an entirely new platform, marking the third or fourth platform migration for this site in its 12-year history. Prior to the migration, the site was generated using Jekyll and GitHub Pages following a previous migration in late 2014. Prior to that, I ran WordPress for about 9 years. So what is it running now?
The site is now generated using Hugo, an extraordinarily fast static site generator. I switched to Hugo because it offers a couple of key benefits over Jekyll:
Hugo also gives me more flexibility that I had with Jekyll, such as generating lists of articles by tag or lists of articles by category. Along with those additions—the ability to browse by tag or category—I’ve also removed the pagination (I mean, who’s really going to page through 188 pages of Continue reading
Moving software-defined networking past the conceptual stage requires focusing on what you want to get out of SDN.
Daniel Dib is setting up a networking career (from a down-to-earth engineer’s perspective) web site, and started populating it with numerous interviews with fellow networking engineers and architects (all of them well worth reading).
Here are my answers to his questions.
One of the luckiest coincidences in the past decade has been that the hybrid machines designed for traditional HPC simulation and modeling workloads. which combined the serial processing performance of CPUs and the parallel processing and massive memory bandwidth of GPUs, we also well suited to run machine learning training applications.
If the HPC community had not made the investments in hybrid architectures, the hyperscalers and their massive machine learning operations, which drive just about all aspects of their businesses these days, would not have seen such stellar results. (And had that not happen, many of us would have had …
Fujitsu Bets On Deep Leaning And HPC Divergence was written by Timothy Prickett Morgan at The Next Platform.
The golden grail of deep learning has two handles. On the one hand, developing and scaling systems that can train ever-growing model sizes is one concern. And on the other side, cutting down inference latencies while preserving accuracy of trained models is another issue.
Being able to do both on the same system represents its own host of challenges, but for one group at IBM Research, focusing on the compute-intensive training element will have a performance and efficiency trickle-down effect that speed the entire deep learning workflow—from training to inference. This work, which is being led at the T.J. Watson …
IBM Highlights PowerAI, OpenPower System Scalability was written by Nicole Hemsoth at The Next Platform.
Verizon tests antennas for mmWave as part of 5G.