Satellite Company Hughes Rolls Out Managed SD-WAN Services
Connectivity can be delivered through satellite, cable, fiber, and LTE.
Connectivity can be delivered through satellite, cable, fiber, and LTE.
More than 1K enterprises will use intent-based networking by 2020.
This is the blog post by Ivan I discuss in the video, and this is an older post here on Rule11 about the same topic, if you prefer your explanations written.
The post Microloops Explained (in video) appeared first on rule 11 reader.
It will open data centers in Johannesburg and Cape Town in 2018.
Its doesn’t make me feel old. It makes me sad that we can’t change. Ethernet's 44th birthday is Monday. I sketched this to include in a typed memo on May 22, 1973 at the Xerox Palo Alto Research Center. pic.twitter.com/M6rHpO5XCr — Bob Metcalfe (@BobMetcalfe) May 20, 2017
The post Ethernet is 44 Years Old appeared first on EtherealMind.
As we previously reported, Google unveiled its second-generation TensorFlow Processing Unit (TPU2) at Google I/O last week. Google calls this new generation “Google Cloud TPUs”, but provided very little information about the TPU2 chip and the systems that use it other than to provide a few colorful photos. Pictures do say more than words, so in this article we will dig into the photos and provide our thoughts based the pictures and on the few bits of detail Google did provide.
To start with, it is unlikely that Google will sell TPU-based chips, boards, or servers – TPU2 …
Under The Hood Of Google’s TPU2 Machine Learning Clusters was written by Timothy Prickett Morgan at The Next Platform.
The post Worth Reading: Hype to reality appeared first on rule 11 reader.
Around this time last year, we delved into a new FPGA-based architecture that targeted efficient, scalable machine learning inference from startup DeePhi Tech. The company just rounded out its first funding effort with an undisclosed sum with major investors, including Banyan Capital and as we learned this week, FPGA maker Xilinx.
As that initial article details, the Stanford and Tsinghua University-fed research focused on network pruning and compression at low precision with a device that could be structured for low latency and custom memory allocations. These efforts were originally built on Xilinx FPGA hardware and given this first round of …
FPGA Startup Gathers Funding Force for Merged Hyperscale Inference was written by Nicole Hemsoth at The Next Platform.