The Systems of the Future Will Be Conversational

It’d be difficult to downplay the impact Amazon Web Services has had on the computing industry over the past decade. Since launching in 2006, Amazon’s cloud computing division has become the set the pace in the public cloud market, rapidly growing out its capabilities from the first service – Simple Storage Service (S3) – it rolled out to now offering thousands of services that touch on everything from compute instances to databases, storage, application development and emerging technologies like machine learning and data analytics.

The company has become dominant by offering organizations of all sizes a way of simply accessing

The Systems of the Future Will Be Conversational was written by Nicole Hemsoth at The Next Platform.

How Did NETCONF Start on Software Gone Wild

A long while ago Marcel Wiget sent me an interesting email along the lines “I think you should do a Software Gone Wild podcast with Phil Shafer, the granddaddy of NETCONF

Not surprisingly, as we started discovering the history behind NETCONF we quickly figured out that all the API and automation hype being touted these days is nothing new – some engineers have been doing that stuff for almost 20 years.

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All Of Ethan’s Podcasts And Articles For November 2017

Here’s a catalog of all the media I produced (or helped produce) in November 2017. I’ve included content summaries to motivate you to click. See, that’s coming right at you with how I’m trying to manipulate your behavior. I’m honest like that.

PACKET PUSHERS WEEKLY PODCAST

All Of Ethan’s Podcasts And Articles For November 2017

Here’s a catalog of all the media I produced (or helped produce) in November 2017. I’ve included content summaries to motivate you to click. See, that’s coming right at you with how I’m trying to manipulate your behavior. I’m honest like that.

PACKET PUSHERS WEEKLY PODCAST

Reinventing the FPGA Programming Wheel

For several years, GPU acceleration matched with Intel Xeon processors were the dominating news items in hardware at the annual Supercomputing Conference. However, this year that trend shifted in earnest, with a major coming-out party for ARM servers in HPC and more attention than ever paid to FPGAs as potential accelerators for future exascale systems.

The SC series held two days of lightening-round presentations on the state of FPGAs for future supercomputers, with insight from both academia, vendors, and end users at scale, including Microsoft. To say Microsoft is an FPGA user is a bit of an understatement, however, since

Reinventing the FPGA Programming Wheel was written by Nicole Hemsoth at The Next Platform.

Inside Nvidia’s Next-Gen Saturn V AI Cluster

Generally speaking, the world’s largest chip makers have been pretty secretive about the giant supercomputers they use to design and test their devices, although occasionally, Intel and AMD have provided some insight into their clusters.

We have no idea what kind of resources Nvidia has for its EDA systems – we are trying to get some insight into that – but we do know that it has just upgraded a very powerful supercomputer to advance the state of the art in artificial intelligence that is also doing double duty on some aspects of its chip design business.

As part of

Inside Nvidia’s Next-Gen Saturn V AI Cluster was written by Timothy Prickett Morgan at The Next Platform.

IDG Contributor Network: New-gen technologies make IoT transformational

Over the last few years, many people—myself included—have been touting the Internet of Things (IoT) as a driving force behind digital transformation.But is IoT by itself truly that transformational?Well, I would argue that it is not.IoT focuses mainly on securely connecting devices that generate data. It is a key element of disruption and change, but it needs to partner with other technologies such as artificial intelligence (AI), blockchain and fog computing to create billions—some say trillions—of dollars in value and transform industries.Let’s take a closer look at these cross-technology relationships:AI is the brain, IoT is the body IoT and AI have a remarkably synergistic relationship. AI, especially machine learning, provides intelligence—the ability to evaluate options, learn from experience and make smart decisions. IoT, like the body, provides the ability to sense and act. IoT delivers both the data AI needs, and the physical means to act on AI’s decisions.  To read this article in full, please click here

The Redemption Of NFS

If thinking of NFS v4 puts a bad taste in your mouth, you are not alone. Or wrong. NFS v4.0 and v4.1 have had some valid, well-documented growing pains that include limited bandwidth and scalability. These issues were a result of a failure to properly address performance issues in the v4.0 release.

File systems are the framework upon which the entire house is built, so these performance issues were not trivial problems for us in IT. Thanks to the dedication of the NFS developer community, NFS v4.2 solves the problems of v4.0 and v4.1 and also introduces a host of

The Redemption Of NFS was written by Timothy Prickett Morgan at The Next Platform.

Public – not hybrid – cloud dominates day 1 at Amazon re:Invent

There’s been a resurgence in the IaaS cloud computing market in the past year of vendors talking more and more about hybrid cloud computing.As the cloud market is maturing, users are crystalizing what workloads are best for public cloud and what will remain on premises or in a private cloud. At Amazon Web Service’s annual re:Invent conference in Las Vegas this week, a big question heading into the show was: What would AWS say about hybrid?+MORE AT NETWORK WORLD: What is hybrid cloud computing? +Hybrid has been somewhat of a taboo topic for AWS over the years. AWS CEO Andy Jassy has repeatedly maintained that “in the fullness of time” he expects most workloads will run in the public IaaS cloud. We’re not there yet, though. A 451 Research poll from last year found that just 6% of enterprise workloads are running in the cloud.To read this article in full, please click here

Hospitals Untangling Infrastructure from Deep Learning Projects

Medical imaging is one areas where hospitals have invested significantly in on-premises infrastructure to support diagnostic analysis.

These investments have been stepped up in recent years with ever-more complex frameworks for analyzing scans, but as cloud continues to mature, the build versus buy hardware question gets more complicated. This is especially true with the addition to deep learning for medical images into more hospital settings—something that adds more hardware and software heft to an already top-heavy stack.

Earlier this week, we talked about the medical imaging revolution that is being driven forward by GPU accelerated deep learning, but as it

Hospitals Untangling Infrastructure from Deep Learning Projects was written by Nicole Hemsoth at The Next Platform.