Nvidia’s DGX-2 System Packs An AI Performance Punch

When Nvidia co-founder and chief executive officer Jensen Huang told the assembled multitudes at the keynote opening to the GPU Technology Conference that the new DGX-2 system, weighing in at 2 petaflops at half precision using the latest Tesla GPU accelerators, would cost $1.5 million when it became available in the third quarter, the audience paused for a few seconds, doing the human-speed math to try to reckon how that stacked up to the DGX-1 servers sporting eight Teslas.

This sounded like a pretty high price, even for such an impressive system – really a GPU cluster with some CPU …

Nvidia’s DGX-2 System Packs An AI Performance Punch was written by Timothy Prickett Morgan at The Next Platform.

BrandPost: What IT Needs to Learn from New Education Technologies

The combination of new technology, the emergence of the digital generation, and technology that dramatically reduces the impact of distance on learning has fundamentally changed K-12 education. It’s no longer a case of “engaging with technology,” but technology that actually empowers the learning process.To start, device-based learning is the new normal. Unlike decades ago when the use of technology was limited to an hour a day in the “PC Lab,” devices are now used constantly. And unlike the PC days, these new devices depend on central servers, storage, and the network to deliver the apps and information used for coursework. If your central IT—either the systems or the supporting data center—cannot provide very high levels of reliability, teachers and students will lose valuable class time.To read this article in full, please click here

Nvidia Memory Switch Welds Together Massive Virtual GPU

It has happened time and time again in computing in the past three decades in the datacenter: A device scales up its capacity – be it compute, storage, or networking – as high as it can go, and then it has to go parallel and scale out.

The NVLink interconnect that Nvidia created to lash together its “Pascal” and “Volta” GPU accelerators into a kind of giant virtual GPU were the first phase of this scale out for Tesla compute. But with only six NVLink ports on a Volta SXM2 device, there is a limit to how many Teslas can …

Nvidia Memory Switch Welds Together Massive Virtual GPU was written by Timothy Prickett Morgan at The Next Platform.

The Free Range Routing Project turns one: A year in review, and what to expect next

Today, we’re celebrating the one year anniversary of FRR: The Free Range Routing project, a project we at Cumulus Networks set out to collaborate on with innovators in the industry to help shape the future of web-scale networking. With FRRouting (FRR), the community has built on the foundations of Quagga and taken huge steps forward to build the most full-featured, high-performance open routing stack available — making engineers’ lives significantly easier in the process. Now, FRR is the easiest and quickest way for the community to contribute to the future of routing.

To honor its success and growth, we’d like to highlight a few key moments in time since the project began…

Increased adoption and contribution

As we set out to expand the technology, we knew we needed a team of industry leaders. Companies like 6WIND, Architecture Technology Corporation, LabN Consulting, NetDEF (OpenSourceRouting) and Orange were some of the first to collaborate with us at Cumulus Networks on the project’s mission.

At Cumulus, we knew that FRR was going to be a game-changer for our own customers, so we too adopted FRR on Cumulus Linux. Now, all 1,000+ of our customers are benefiting from a more flexible infrastructure.

Over Continue reading

IDG Contributor Network: Best practices for IoT security

The Internet of Things (IoT) is projected to grow significantly over the coming years. Research firm Gartner Inc. has estimated that 8.4 billion connected things were in use worldwide in 2017, up 31% from 2016, and expects the number to reach 20.4 billion by 2020.This growth is being driven by the promise of increased insight, enhanced customer satisfaction, and greater efficiency. These benefits are made possible as sensor data from devices and the power of Internet-based cloud services converge. One of the key concerns related to the successful adoption of the IoT is having sufficiently strong security mechanisms in place throughout the ecosystem—to mitigate the increased security risks of connecting devices to the Internet.To read this article in full, please click here

SD-Branch market expected to reach $3 billion by 2022

As long as I have been an industry analyst, network engineers have tried to build multifunction boxes that are capable of addressing a wide range of network functions. These all-purpose network boxes have been lost to history as single-function platforms optimized for network performance (e.g., router or WAN optimization) dominated the market. The branch network is poised to benefit from the advances in software networking to collapse all network functions on to a single platform — the software-defined branch (SD-Branch).A total addressable market (TAM) analysis of the SD-Branch market starts with understanding the total spend on branch networking hardware and software. Worldwide spending on routers, WAN optimization, SD-WAN, network security, Wi-Fi, and ethernet switches at branch locations is approximately $15 billion, according to Doyle Research. (Disclosure: I’m the principal analyst at Doyle Research.)To read this article in full, please click here

SD-Branch market expected to reach $3 billion by 2022

As long as I have been an industry analyst, network engineers have tried to build multifunction boxes that are capable of addressing a wide range of network functions. These all-purpose network boxes have been lost to history as single-function platforms optimized for network performance (e.g., router or WAN optimization) dominated the market. The branch network is poised to benefit from the advances in software networking to collapse all network functions on to a single platform — the software-defined branch (SD-Branch).A total addressable market (TAM) analysis of the SD-Branch market starts with understanding the total spend on branch networking hardware and software. Worldwide spending on routers, WAN optimization, SD-WAN, network security, Wi-Fi, and ethernet switches at branch locations is approximately $15 billion, according to Doyle Research. (Disclosure: I’m the principal analyst at Doyle Research.)To read this article in full, please click here

Just One Bit

I'm never surprised by the ability of an IETF Working Group to obsess over what to any outside observer would appear to be a completely trivial matter. Even so, I was impressed to see a large-scale discussion emerge over a single bit in a transport protocol being standardized by the IETF.

Capital One Machine Learning Lead on Lessons at Scale

Machine learning has moved from prototype to production across a wide range of business units at financial services giant Capital One due in part to a centralized approach to evaluating and rolling out new projects.

This is no easy task given the scale and scope of the enterprise but according to Zachary Hanif who is director of Capitol One’s machine learning “center for excellence”, the trick is to define use cases early that touch as broad of a base within the larger organization as possible and build outwards. This is encapsulated in the philosophy Hanif spearheads—locating machine learning talent in …

Capital One Machine Learning Lead on Lessons at Scale was written by Nicole Hemsoth at The Next Platform.

IDG Contributor Network: Overcoming barriers: An evolutionary approach to edge computing

Pushing industrial control intelligence to the edge—closer to where manufacturing and production processes are happening—offers tremendous potential for increasing business efficiency and agility. Add in the ability to perform real-time analytics on the plant floor, and the possibilities for optimizing operations are endless.This is not lost on operational technology (OT) professionals. According to a recent market report by ARC Advisory Group, 91 percent of industrial automation users surveyed said that having better systems and connectivity at the edge will improve real-time decision making. Early adopters are moving aggressively to push intelligence to the edge as part of a larger Industrial Internet of things (IIoT) strategy. So why isn’t everyone jumping on the edge computing bandwagon?To read this article in full, please click here

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