AWS’s Snowball Edge devices aren’t new, but they are getting a new feature today that’ll make them infinitely more interesting than before. Until now, you could use the device to move lots of data and perform some computing tasks on them, courtesy of the AWS Greengrass service and Lambda that run on the device. But AWS is stepping it up and you can now run a local version of EC2, the canonical AWS compute service, right on a Snowball Edge.

Sonm provides cloud services based on distributed customer level hardware including PCs, mining equipment, and servers. You can either rent out your hardware or use someone’s computing power for your needs

Why 2018 will be the year apps go to the edge
Jameson Toole
Apr 3, 2018

too-many-apps
Jameson Toole
Contributor
Jameson Toole is co-founder and CEO of Fritz, which helps developers optimize, deploy and manage machine learning models on mobile devices.
If you’re running a software company today, it’s almost a foregone conclusion that most or all of your apps will run in the cloud. Likely Amazon or Google’s. It’s hard to imagine that this wasn’t always the case, but there are still some late adopters migrating their own physical data centers into managed ones. And, as with all trends in technology, this too shall pass. Just when you were getting comfortable with containers and auto-scaling, a new architecture emerges, swinging the pendulum back to a truly distributed world.

What’s wrong with the cloud?
A typical self-driving car generates up to 100MB of data per second from a combination of cameras, LIDARs, accelerometers and on-board computers. That data needs to be processed nearly instantly to keep the car on the road.

Most of us aren’t building or riding in self-driving cars (yet), but there’s a good chance we’re already interacting with edge computing every day. Neural networks in smart speakers in almost 40 million American homes are listening for words like “Alexa,” “Siri” or “Google” and, according to Statista, 3 billion Snapchats are scanned for faces each day in order to add the addicting face filters. By the end of the year, 20 percent of smartphones globally will have hardware-accelerated machine learning capabilities.

Source: https://opensource.com/article/17/3/rss-feed-readers?sc_cid=7016000000127ECAAY

AWS Greengrass – same code in cloud and IoT
http://www.epanorama.net/newepa/2016/12/17/aws-greengrass-same-code-in-cloud-and-iot/