Huawei launches Kunpeng 920 chip to bag big data and edge computing

Huawei has unveiled a new ARM-based CPU called Kunpeng 920, designed to capitalise on the growing euphoria building around big data, artificial intelligence and edge-computing.

The CPU was independently designed by Huawei based on ARMv8 architecture license, with the team claiming it improves processor performance by optimizing branch prediction algorithms, increasing the number of OP units, and improving the memory subsystem architecture. Another bold claim is the CPU scores over 930 in the SPECint Benchmarks test, 25% higher than the industry benchmark.

“Huawei has continuously innovated in the computing domain in order to create customer value,” said William Xu, Chief Strategy Marketing Officer of Huawei.

“We believe that, with the advent of the intelligent society, the computing market will see continuous growth in the future. Currently, the diversity of applications and data is driving heterogeneous computing requirements. Huawei has long partnered with Intel to make great achievements. Together we have contributed to the development of the ICT industry. Huawei and Intel will continue our long-term strategic partnerships and continue to innovate together.”

The launch itself is firmly focused on the developing intelligence economy. With 5G on the horizon and a host of new connected services promised, the tsunami of data and focus on edge-computing technologies is certain to increase. These are segments which are increasingly featuring on the industry’s radar and Huawei might have stolen a couple of yards on the buzzword chasers ahead of the annual get-together in Barcelona.

“With Kirin 980, Huawei has taken smartphones to a new level of intelligence,” said Xu. “With products and services (e.g. Huawei Cloud) designed based on Ascend 310, Huawei enables inclusive AI for industries. Today, with Kunpeng 920, we are entering an era of diversified computing embodied by multiple cores and heterogeneity. Huawei has invested patiently and intensively in computing innovation to continuously make breakthroughs.”

Another interesting angle to this launch is the slight shuffle further away from the US. With every new product which Huawei launches, more of its own technology will feature. In years gone, should Huawei have wanted to launch any new servers or edge computing products it would have had to look externally for CPUs. Considering Intel and AMD have a strong position in these segments, supply may have come from the US.

For any other company, this would not be a problem. However, considering the escalating trade war between the US and China, and the fact Huawei’s CFO is currently awaiting trial for violating US trade sanctions with Iran, this is a precarious position to be in.

Cast you mind back to April. ZTE had just been caught red-handed violating US trade sanctions with Iran and was subsequently banned from using any US components or IP within its supply chain. Should the courts find Huawei guilty of the same offence, it is perfectly logical to assume it would also face the same punishment.

This is the suspect position Huawei finds itself in and is currently trying to correct. Just before Christmas, Huawei’s Rotating CEO Ken Hu promised it’s supply chain was in a better position than ZTE’s and the firm wouldn’t go down the same route, while in the company’s New Year’s message, Rotating Chairman Guo Ping said the focus of 2019 would be creating a more resilient business. These messages are back up by efforts in the R&D team, such as building an alternative to the Android operating system which would power its smartphones should it be banned from using US products.

Perhaps the Kunpeng 920 could be seen as another sign Huawei is distancing itself from the US, while also capitalising on a growing which is about to blossom.

The edge will make us cash, but we need to be quick – DT

With telcos searching for elusive return on investment in a 5G world, edge computing could offer some relief.

Speaking at Total Telecom Congress in London, Arash Ashouriha, SVP of Technology Architecture & Innovation at Deutsche Telekom pointed towards the edge as a way to recapture the lost fortunes of yesteryear, but better move quickly or those crafty OTTs will swoop in again.

“With 5G, of course the consumer will benefit, but the challenges are mainly with enterprises; how you build specific solutions on one network, using network slicing,” said Ashouriha.

“What is the real opportunity for operators in avoiding becoming a dumb pipe? It’s going to be the edge. Whatever happens, only the operator can provide the next POP on the mobile phone, never forget that. Are we able to monetize this? If you want to achieve low latency, you have to process the traffic where it is being generated, not 100km away. From an operator perspective, this gives a huge opportunity to leverage the network.”

The theory here is simple. For those usecases which require near real-time transactions, autonomous driving or robotic surgery for example, low latency is critical. Unfortunately, the speed at which data can be moved has a limit, that is just physics, in order to guarantee low latency processing power has to be moved closer to the event. This is an excellent opportunity for the telcos to make money.

However, there is only a small window of opportunity, Ashouriha thinks it might only be two or three years. If the telcos do not take advantage and create a business to capitalise on the edge, the OTTs will swoop in and reap the rewards. All the likes of Google or AWS need to build such a business model is a partnership with one MNO in a market, then the cloud players can leverage the power of their cloud assets to build the case for low latency.

This is the challenge for the telcos; the opportunity is there and very apparent, but are they swift enough to capitalise on it? It certainly wasn’t the case for value added services and it seems the battle for control of the smart home has been lost, with Google and Amazon successfully positioning the smart speaker (not the router) as the centre of the ecosystem. The telcos need to react quickly, as you can guarantee the cloud players are eyeing up the opportunity.

One of the challenges, as Ashouriha points out, is industry collaboration. It doesn’t matter if you are the biggest, baddest telco around, no-one has 100% geographical coverage. To make this edge orientated service work, the telcos will have to develop some sort of framework where holes in connectivity can be plugged by competitors.

To tackle this challenge, DT has spun-off a business in Silicon Valley called MobiledgeX to create a platform where telcos plug in to create an always-connected experience for an ecosystem to build products and services on top of. It’s an interesting idea, and certainly a step in the right direction to capitalise on the edge opportunity.

With the billions being spent to develop 5G networks there is no single silver bullet to realise the ROI, but building a portfolio of services and business models will certainly get the telcos across the line. They just have to get better at capitalising on the opportunity when it presents itself.

Edge Computing vs Fog Computing periodically invites expert third parties to share their views on the industry’s most pressing issues. In this piece freelance Journalist Charlie Osborne explains the differences between edge and fog computing.

The Internet of Things (IoT) and connected devices, which are able to facilitate data collection and storage at the edge of networks, have the potential to transform enterprise systems and the way we manage data irrevocably. As the number of IoT devices in circulation is set to rise to 20.4 billion by 2020 and a 10-fold rise in worldwide data generation by 2025 forecast by IDC, in order to properly harness and manage data, new solutions at the edge are going to become critical.

The next generation of mobile LPWA and 5G technologies, including the rollout of NB-IoT and LTE-M networks, will become key to managing the IoT deployments of the future. Computing at the network perimeter, including edge computing and fog computing, will also play a crucial role in content delivery and workload management. The massive volume of data collected by enterprise players has given rise to edge computing, which is defined as a means to bring data collection and analysis close to the source of collection.

This bypasses the need to transfer data across centralized relays and to central cloud systems, which can be a costly endeavour demanding high bandwidth which can also negatively impact latency. Fog computing builds upon this concept. While edge computing is responsible for connecting edge gateways and connected devices, fog computing provides the intelligence and necessary protocols for such decisions to take place. The architecture brings cloud computing to the edge of networks and provides the support required for systems to decide what information needs to be transferred to core systems, and what data can be managed at the edge of networks. In turn, this can result in faster processing times and lower latency.

Edge and fog computing have found a place in systems ranging from corporate networks to industrial settings. Whenever an organization has the need to manage IoT device deployments — whether this is the factory floor for equipment monitoring, enterprise platforms working with data analytics in real time, or smart city connected devices, connected cars, or home mesh networks, these technologies can lessen the strain on cloud environments and bandwidth requirements.

When it comes to telecoms and 5G network deployment, some experts believe that fog and edge computing will provide the missing link between cloud architectures and end-users. 5G networks, due to roll out in 2020, aim to reach high mobile speeds of up to 1Gbps and reduce latency to the sub-milliseconds.

In order to achieve this, 5G will need to be able to utilize edge and fog computing to support dense networks and eradicate the risk of bottlenecks, caused by high bandwidth demands caused by transferring data to centralized cloud environments. While 5G will be driven by high-frequency radio waves, fog computing is a necessity due to the increase in latency which occurs due to cloud-based application requests from core networks to the cloud.

Without a means to bring processing power and compute close to the edge, 5G networks will still suffer from high latency problems.  Edge and fog computing platforms are likely to be adopted at speed in the coming years as enterprises, telecoms, and industrial players understand the opportunities for growth and efficiency improvements created by utilizing not just core cloud environments, but peripheral networks.

IoT devices, next-generation communications protocols, and networks, coupled with our desire to make everything from the factory floor to our smartphones more intelligent, will all require a stable backbone to perform. Computing at the edge can supply the support we need.


Charlie Osborne is a professional journalist based in London, UK. She is a freelance editor, educational material creator and contributes to IoT World News as a feature writer with a focus on consumer technology, innovation, smart technology, mobility, edtech, and security.


Edge Computing Congress returns to the German capital. Meet the entire edge ecosystem and discover how cloud computing, 5G and IoT connected services can provide seamless connections at the network edge.

Edge Computing: What industrial enterprises want from service providers periodically invites expert third parties to share their views on the industry’s most pressing issues. In this piece Charlie Osborne of Edge Computing Congress looks at the role edge computing has to play in Industry 4.0.

The adoption of edge computing is going to become key for industrial companies seeking to implement modern cost-saving measures, 5G, and make the transition to Industry 4.0.

The manufacturing sector is no longer centred around isolated equipment and manual maintenance. Instead, businesses have the potential to thrive due to data.

Industrial companies are now operating on a global scale and have IIoT devices, software, and services at their disposal to transform data points into information which can improve both operational efficiency and the bottom line.

Industrial players and companies at large are no longer forced to send their data to one area in-house or to the cloud for analysis, which requires high levels of expenditure and can cause latency and security challenges.

Instead, Internet of Things (IoT) devices, sensors, and cloud services, empowered by edge computing, offer a scalable way to streamline traffic flows and process data in real-time close to the source, increasing the efficiency of data processing, reducing latency, initiating bandwidth savings, and more.

IoT micro data centres used by edge computing will become even more important in the future with the emergence of 5G networks.

Despite predictions that the enterprise will spend over £1 trillion on IoT networks, devices, and management systems by 2020, the industrial sector is yet to realize the full potential of edge computing.

Edge computing has the potential to disrupt the industrial sector more than most. Companies are making the move towards Industry 4.0 but recent research suggests that only a quarter of industrial firms feel they have a sufficient understanding of how digital processes can improve their business.

Only three percent of data points gathered by today’s industrial IoT systems are utilized which leaves 97 percent of otherwise actionable data floating in the wind.

Service providers have a key role to place in the adoption of edge computing. As enterprise players lean towards this next-generation technology in order to improve operational efficiency and to tap into the benefits of Big Data and IoT, service providers cannot afford to be left behind.

The enterprise expects service providers to innovate in order to push intelligence and computing out to the edge, meeting both the technological and data challenges of modern manufacturing, as well as offer ways to future-proof industrial processes.

Whether or not industry players know it yet, edge computing will become a necessity in the coming years to facilitate the transfer and analysis of large volumes of data and to control industrial and operational processes making the shift from legacy systems to Industry 4.0.

Companies offering such services need to establish a strategic plan to take advantage of what edge computing offers. The deployment of edge computing will become a crucial component of future industries, but many companies need to understand where to start.

Service providers must understand what industrial players expect, the challenges ahead, and how edge computing can be implemented as a justifiable investment which benefits the enterprise.

For more information and to learn what is wanted, needed and expected from edge computing service provider download our recent report.


Edge Computing Congress is returning to the German capital next month. Register to attend this event for the opportunity to meet the entire edge ecosystem and discover how cloud computing, 5G and IoT connected services can provide seamless connections at the network edge.

Nokia ties the knot with Tencent for 5G R&D

Nokia has entered into a partnership with China’s internet giant Tencent to undertake 5G related R&D for webscale companies.

An MOU was signed in MWC Asia in Shanghai between the two companies to set up a full-fledged 5G lab in Shenzhen, China, where Tencent’s headquarters are. WeChat, the crown jewel of Tencent’s plethora of apps and services, is more a platform at the centre of an ecosystem than a standalone app. It has more than 1 billion monthly active users who make payments, hail car rides, order takeaway foods, among other things, as well as messaging, sharing pictures and videos, and networking that WeChat started out to do.

As Tencent further diversifies itself to other industries, including its recent entry into connected cars and autonomous driving, 5G’s promised capabilities, in particular edge-computing to vast reduce latency will be critical. By entering into a partnership with Nokia, which is strong in R&D, Tencent has a chance to influence how the 5G technologies can be applied to certain use cases. No wonder then the focus of the lab will be on selected verticals that Tencent has special interest in, with transportation, energy, entertainment, etc. being highlighted.

It is also a smart move by Nokia, who desperately needs to find new growth opportunities than selling more network gears to telecom operators, in particular when operators in Europe, Nokia’s traditional markets, are more cautious in rushing into 5G than their counterparts in North America and Asia.

As Nokia told’s Jamie Davies, interest in 5G in Asia is more on the ways to scalability. This is an ideal case to test scalability. While it is an internet giant in every sense, Tencent is highly concentrated in China. For Nokia this would be a controlled experiment and would be valuable when it knocks on the doors of other local heavyweights like Alibaba, as well the truly global webscale companies like Google and Facebook.

Smart data – giving operators the edge periodically invites third parties to share their views on the industry’s most pressing issues. In this piece John English, Senior Marketing Manager, Service Providers at Netscout, describes some of the benefits offered by edge computing.

Edge computing is set to play an important part in fulfilling the expectations for 5G and unlocking its promised benefits. The connective tissue of IoT applications and services such as smart vehicles, public safety, remote medicine, robotics, and the networks of sensors deployed across smart cities, will all significantly gain from utilising 5G technology to achieve truly ubiquitous, reliable, scalable and cost-effective device-to-device connectivity.

Moving cloud, compute and processing power to the edge of the network makes it possible to support the ultra-low latency requirements of 5G and IoT applications such as connected cars, which require real time information at all times, while significantly improving the efficiency of devices.

As 5G and the IoT become more pervasive, there will be an increasingly urgent requirement to support the new data loads and unpredictable traffic patterns being introduced, along with the growing demand for reduced latency and increased compute efficiency. It’s little surprise, therefore, that service providers are now beginning to move network infrastructure to the edge.

With IoT solutions underpinning a growing number of aspects in our lives and businesses, it’s crucial that operators have assurance that their connectivity remains ubiquitous, consistent and reliable. But as with any burgeoning technology, there will always be a new set of challenges to face, and dealing with these will require complete visibility across the entire IoT lifecycle.

Intelligence and insight

The benefits offered by edge computing have seen it gain a lot of traction recently, with both established operators and new entrants to the market launching a range of new cloud and server technologies designed to effectively move data center functionality to the edge of the network. As organizations virtualize network components and functions for greater agility, speed and cost-savings, so they will leverage this new NFV architecture to deploy C-RAN (cloud-based RAN) solutions to better support the increase in their customer’s data traffic.

Managed correctly, the data generated by virtual solutions such as these will provide operators with much needed intelligence that will enable them to gain actionable meaningful insights and inform their network policy and traffic management systems. Over time, this flow of information, and the intelligence derived from it, will lead to networks becoming automated and self-optimizing. This will then allow operators to allocate capacity to areas where it’s needed most: whether to manage peaks in network demand or, in the case of IoT traffic, to manage the demands of sophisticated smart city deployments, autonomous cars, or ‘smart’ automated factories.

Use cases such as these are largely unknown territory, however, and the level of data traffic they will generate is unprecedented. Visibility is therefore crucial if operators are to effectively manage their networks. This is particularly the case with the IoT, where operators will be required to report on the status of any mission-critical systems. With IoT technologies underpinning a growing number of critical applications, such as disaster monitoring and military situational awareness, the need for assurance around security and service delivery is paramount.

Though it may be frustrating that a problem with the network may result in a user being unable to access a movie from a Netflix server on their mobile device, the stakes are considerably higher when a similar network problem affects the performance of a remote heart monitor in a hospital.  So, while it makes sense for an operator to reconfigure a network to account for the increasing demands of 5G and IoT services, it must be possible to derive some meaningful insight from the data being produced. If not, it will offer no visibility into what’s happening on that network, and this could lead to very serious consequences.

In simple terms, a frustrated Netflix subscriber unable to watch the latest episode of Stranger Things can contact the customer service center. Automated machines on a production line, however, will not be calling into customer service to let anyone know if they’re experiencing issues with connectivity, which could have a knock-on effect throughout a business’s entire supply chain.

The oil that fuels the networks’ engines

As computing moves closer to the edge, smart data will quickly become the oil that fuels the networks’ engines.

Real-time, scalable meta data imbued with user experience derived from network traffic, smart data offers unlimited scale, across all aspects of the network, both physical and virtual. Once an operator is able to access and analyze this data in real-time, they will be able to gain valuable new insights into how the connected IoT devices and machines on their network behave, how they interact with the network, and the type of traffic patterns they produce. Ultimately, with access to smart data, operators will be in a better position to make more informed decisions about how to optimize their networks, where to allocate capacity, and how to boost performance.

Furthermore, the visibility enabled by smart data can also enable operators to identify anomalies within the network; significant changes that could indicate issues such as network congestion, which could potentially affect hundreds or thousands of connected devices. Actionable intelligence of this type is worth its weight in gold to an operator and its enterprise customers, who rely on the network to provide a communication backbone to support their IoT deployments.

Ensuring that everything is connected

Edge computing may currently be a nascent space, but the benefits of capacity, low-latency and scalability it offers represent great potential for the success of next-generation technologies. As operators prepare for a 5G rollout over the next five years, edge computing will become a critical element of mobile network infrastructure. And with the number of connected devices predicted to reach more than 30 billion by 2020, it will soon be adopted by ISPs, cable companies and a range of other service providers too.

As the industry continues to move network infrastructure to the edge, harnessing NFV and cloud technology to deliver new, faster, more efficient services, the need for visibility across these new-look, complex networks becomes abundantly clear if operators are to make the most of their new investment.

Only by employing a smart data solution will operators have the ability they need to monitor the sheer breadth and depth of the IoT ecosystem, and ensure that everything is assured, and every device connected.


Meet NETSCOUT and learn more about their solutions at 5G World 2018, taking place in London, 12 -14 June.

Finding edge computing’s breakout use case periodically invites third parties to share their views on the industry’s most pressing issues. In this piece John Reister, SVP Marketing and Product at Vasona Networks talks about how edge computing can be used in the field.

When people in telecom talk about multi-access edge computing (MEC) and its role in the lead-up to 5G, they often talk in terms of network proximity to the customer, and the best way to process and deliver data. Often lost in these conversations are the reasons we’re doing this – why MEC and why now?

The breadth of services and opportunities edge computing can enable spans many industries, especially those that have not yet been disrupted by hyper-connectivity. It’s the farm fields. The semi-trucks. The cities. It’s about the gaming fan who wants more from their phone when it comes to speed and processing power.

These visions are coming to life, and MEC is the driver. Importantly, these advancements are allowing operators to deploy 5G-like functionality in networks today. Looking at some of the MEC-based use cases that have been demonstrated recently will give us a glimpse into what the near future holds.

Meet the Flying Field Worker

Picture this scenario: a farmer is losing a portion of her crop every year because there aren’t enough workers on hand to catch diseased or insect-infested plants before it’s too late. A tech-based approach to this challenge wasn’t previously possible because the coverage area is far too vast for Wi-Fi.

Yet, today, this farmer can deploy drones to take video of thousands of acres daily, scanning the video images to detect fungus and pests in real-time. The farm workers or the drones can then spray surgically and preventatively only as needed, saving on labor costs and on materials, since bulk spraying can be avoided. And the farmer will save more of her crop, which increases earnings.
With MEC at the heart of this operation, there is no need to carry dozens of video streams back to a data center. With MEC video processing, the farmer’s business is transformed. She never needs to know that MEC was involved. That’s her mobile provider’s job.

Giving Networks a Break(out) for Better IoT, Gaming and More

At Mobile World Congress last year, Intel,, Vasona Networks and Xaptum came together to demonstrate low-latency industrial IoT with real-time data exchange between devices and cloud-based apps. The star of the show was the ability to recognize a certain type of traffic and “break” it out of its traditional network path for edge-based processing and delivery. It’s fast, secure and provides consistent service.

The demand grew in one year’s time. At a tier-one operator’s request, Vasona collaborated with a cloud-gaming company at Mobile World Congress 2018 to demonstrate how edge computing could power better mobile gaming experiences. Utilizing an edge compute cloud that hosts and streams high-performance workloads and applications on-demand (ideal for streaming interactive content), the vision was to liberate processor-intensive gaming from expensive consoles and home rigs, and deliver that same power and experience to mobile users. MEC with edge breakout powered an experience that let people play Doom on an Android phone without hiccups or stalls even when connected via a congested LTE network. Traffic was diverted from its typical path to GPUs located in edge-based cloud servers operated by LiquidSky. Putting that kind of power in the cloud with accessibility virtually everywhere is a literal game changer. It’s also a potential new revenue line for operators.

Making Cities Picture Perfect
Cities are already getting smarter, and demonstrations have shown that MEC can help support complete connectivity and coverage. As infrastructure, such as cameras and IoT sensors, manage everything from traffic flows and crowd control, to public safety, utility threats and more, these applications need fast, edge-based processing to make automated real-time decisions. Cameras powering security apps must be able to scan license plates in real time. To alleviate dreaded rush hour congestion, they must be able to capture and quickly process traffic flows. Remote IoT monitors need to be able to communicate real-time conditions for smarter energy usage and resource allocation. Once again, MEC is the network star of the show making it all possible. After all, once a city becomes smart, it can run continuously, consistently and efficiently. Without that efficiency, it’s not very smart.
The bottom line? Once we reimagine what the mobile network can look like, the opportunities for new services opens wide. 5G promises to further transform industries, but operators need not wait to get started delivering on its potential.


John Reister, SVP of marketing and product with Vasona Networks will be speaking about MEC, Slicing and the Evolution to 5G, 3:50pm on May 14 at Edge Computing Congress Americas, part of 5G North America 2018 in Austin, Texas.

Microsoft strives for an intelligent edge in IoT

Microsoft has announced it will invest $5 billion in the Internet of Things over the next four years focused on security, creating development tools and intelligent services for IoT and the edge.

With IoT set to offer profits for certain segments of the ecosystem, Microsoft is in a solid position, and who would have thought we would have been saying that a few years ago. Since Satya Nadella took over as CEO the company successfully transformed into a powerhouse of the cloud world, which offers a superb foundation to reap the benefits of the IoT euphoria.

“Today, we’re planning to dedicate even more resources to research and innovation in IoT and what is ultimately evolving to be the new intelligent edge,” said Julia White, CVP at Microsoft Azure.

“With our IoT platform spanning cloud, OS and devices, we are uniquely positioned to simplify the IoT journey so any customer – regardless of size, technical expertise, budget, industry or other factors – can create trusted, connected solutions that improve business and customer experiences, as well as the daily lives of people all over the world. The investment we’re announcing today will ensure we continue to meet all our customers’ needs both now and in the future.”

While IoT has been a buzzword for years, we are just about seeing the adoption and realisation of the business models which might live up to the promise. We are never short of forecasts or predictions about how successful this segment will be, but here is another one. AT Kearney predicts IoT will lead to a $1.9 trillion productivity increase and $177 billion in reduced costs by 2020. With these numbers you can see why companies around the world, especially the ones where product margins are being squeezed, are excited about this evolution.

The focus for Microsoft here is about improving intelligence on the edge, another buzzword which faded from popularity in recent times but is surging again now. Maybe discussions about the edge were just too early; 5G and IoT are perhaps the catalysts to make the edge a relevant discussion once again. 2018 might be another year of false dawns when it comes to the investment boom, but there can’t be many of them left; companies will start spending soon.

The more activity which can be managed on the edge of the network, the more attractive and feasible IoT becomes. Microsoft has proven very effective at pumping a craze before it peaks to reap the benefits of being first-to-market, but this only really since Nadella has taken over. Microsoft Azure is sitting very comfortably in the number two position in the IaaS space, and it would be far to assume IoT will consolidate the reformed technology-beast as a global super-power.

Deutsche Telekom is living on the edge

The Living Edge Lab testbed, conducted by DT, Crown Castle and Altiostar, claims to be pushing the edge computing envelope.

As we get closer to 5G actually being a thing, as opposed to a flood of PowerPoint presentations and hastily arranged partnerships, the emphasis is on ‘real world’ testing, as evidenced by Huawei’s efforts in Canada. This initiative took the form of ‘an ultra-low latency mobile testbed to three sites centered on Carnegie Mellon University in the US’.

Edge computing will be a key component of 5G, especially from a low-latency perspective, as the best way to reduce the amount of time it takes a mobile signal to get from A to B is to reduce the distance it has to travel. The more stuff you can do on the edge of the network, as opposed to the core, the lower the latency, says the prevailing wisdom.

“The Living Edge Lab testbed is a major technology milestone towards use-case centric Edge Computing and will provide application developers with an early experience of the benefits of 5G technology,” said Alex Jinsung Choi, SVP Research and Technology Innovation at Deutsche Telekom. “It is a unique Edge Computing platform that leverages a fully virtualized end-to-end solution and the implementation of user-tracing beamforming antennas for the first time in a live environment.”

There you have it. They are trying out all the latest radio technologies there, are currently working with latencies down to 15ms, and seem to be focused on the 3.5 GHz band. It should be noted that Aerosmith have been calling for this kind of thing since the early 1990s and they will no doubt be gratified to see the telecoms industry finally take note.


Dell makes £1bn IoT bet while Ericsson unveils the smart scarecrow

Dell Technologies has announced a three-year, $1 billion investment which will underpin a new IoT Division to focus the development of products and services across the rest of the business.

And while some people might assume such announcements are nothing more than a bit of PR posturing by the attention-deprived, don’t forget this is a company which doesn’t mind throwing a bit of cash around. It was only in 2015 the team decided to shell out $67 billion to acquire EMC to bulk out the focus on cloud; Micheal Dell doesn’t joke when it comes to cash.

The new business unit will be led by VMware CTO Ray O’Farrell and will focus on creating solutions which make use of the Dell Technology resources, but also the tools in the wider ecosystem. In terms of the poster child of the Dell Technologies IoT offensive, it would appear the Edge Gateways are going to be the springboard to bigger and better things.

This is a relatively simple idea in theory, but a bit more complicated in practise. Managed by the VMware Pulse IoT Control Center, the Edge Gateways allow for more analytics and actions to be taken on the edge of the network. Data sets will (in theory) no longer have to be sent back to a centralized cloud, meaning transmission costs and time can be saved. It might seem a bit frivolous, but there are instances where the fractions can means profits; think about optimizing equipment on an oil rig in the middle of the North Sea, or robotic surgery. Latency in one instance means a bit less profit, in the other in means a bit less arm.

“Dell Technologies has long seen the opportunity within the rapidly growing world of IoT, given its rich history in the edge computing market,” said O’Farrell.

“Our new IoT Division will leverage the strength across all of Dell Technologies family of businesses to ensure we deliver the right solution – in combination with our vast partner ecosystem – to meet customer needs and help them deploy integrated IoT systems with greater ease.”

It might seem like a simple idea, but the best ones usually are. And don’t forget, while we have been talking about the IoT-gasm for some time, it is still a new idea for those who would on the enterprise side of things. The concept of edge computing was one which attracted significant attention a few years back, but the euphoria clearly wasn’t sustainable. While it might not be a fad right now, it is a critical component of the IoT mix; those who master the edge will have an advantage over those who rely on applications and processes which are managed by the core cloud.

Elsewhere in the IoT world, Ericsson has been getting down and dirty with farmers. Working alongside PS Solutions and CKD, the Swedes have brought out a number of new agriculture related IoT offerings which includes a connected scarecrow.

Known as ‘e-kakashi’ (which translates to e-scarecrow), the offering will aim to create an ideal environment for almost any crop to grow in. Using PS Solutions and Ericsson’s AI knowhow, e-kakashi’ monitors temperature, humidity, CO2 and other conditions, to make recommendations for CKD’s kit to alter the environment. For example, to maintain the ideal temperature for growing tomatoes, “e-kakashi” adjusts greenhouse ventilation.

See, IoT isn’t just about talking fridges.