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For Sale – CLEAROUT: Synology NAS, Hazro 27″ 1440P Monitor, Chuwi Surbook (Surface pro copy).

Evening all, Doing a yearly clearout of IT Tech that i need to get rid of so first point of call would be on here.

Synologys 212j NAS drive – £50
Currently Diskless as the drives are in use but has been running flawlessly since new. Handy little NAS drive to backup key files.

Hazro HZ27WB Graphics Monitor – £90
Brilliant monitor used in my old IT job, advertised as a 10 bit panel with hefty specs, review and more information can be found here

Chuwi Surbook 128GB SSD – £225
Purchased last year. Intel Apollo Lake CPU, 6GB RAM with 128GB SSD with the surface pro form factor its a very capable little workbook. Bought for the mother in law but now moved on to a Ipad Pro. Backlit keyboard and Stylus pen also included.
Full review here Chuwi SurBook | TechRadar

Welcome to collect or can be posted out once i obtain a quote. Sensible offers welcome


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Location: Hornchurch
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Prefer goods collected?: I have no preference

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Quantum computing applications creep forward

They are still largely products of the laboratory, but quantum computing applications may be reaching the point at which business leaders should begin to take notice.

Machine learning and AI are widely seen as fodder for future quantum approaches, but chemical simulation, cryptography and material science may be lining up first for the quantum treatment. In quantum computing application developments this week:

  • Volkswagen at the CEBIT technology show in Hannover, Germany, disclosed some successes in its work with Google on quantum computers for battery research.
  • Startup Strangeworks rolled out of stealth mode to describe plans to provide development tools for quantum computing aimed at the aerospace, pharmaceuticals, energy and finance industries.
  • IBM announced ACQUA, for Algorithms and Circuits for Quantum Applications. When used with a previously available IBM quantum information science kit for software developers, ACQUA software is intended to allow domain experts in fields like chemistry, optimization and AI to run existing algorithms from classical computing jobs on IBM quantum computers on the IBM Cloud.

The quantum computing applications have evoked excitement even though they have yet to certifiably surpass the best of conventional computers; some call that inflection point “quantum supremacy.”

The buzz has been triggered because quantum computing, based on murky-to-many atomic-scale quantum mechanics, could spur exponential increases in data processing. Someday, quantum approaches could blast past classical computers that support binary states of 0 and 1, by including additional states of 0 and 1, and 0 or 1.

Closer quantum view

Like other recent news on quantum computing applications, the work tends to be research-oriented. More than 20 years after it was demonstrated at the logical gate level, quantum computing still seems a ways off. But it may be getting closer.

Brian Hopkins, Forrester ResearchBrian Hopkins

Forrester analyst Brian Hopkins has a view on this. He has been tracking quantum computers for years, and admits it hasn’t been so close that business leaders had to have it on their radar. That may be changing, though there is still some “fudge factor” in his time estimate, he said.

“We may be in that two- to three-year time frame — or, definitely within five years — where we are going to have some real uses for specialized non-error corrected quantum computers in certain industries,” Hopkins said. “The leaders who are savvy enough to make the right investments could be in a position to reap first mover benefits.”

The leaders who are savvy enough to make the right investments could be in a position to reap first mover benefits.
Brian Hopkinsanalyst, Forrester Research

Elaborating on quantum computing applications, Hopkins said he divides quantum computers into specialized and universal systems.

The specialized variety can solve individual, practical problems. The universal type, like today’s general purpose computers, is meant to handle all kinds of problems. Error correction in the quantum domain is somewhat different than error correction in digital circuits

According to Hopkins, long-running jobs will stress quantum systems’ abilities to maintain stable qubits. Error correction for quantum computing applications, he has written, is meant to yield smaller numbers of fault-tolerant, stable and logical qubits from many physical qubits.

Tech developers should learn quantum computing

Tech leaders will have to begin to learn some basics of quantum computing, in order to follow the future progress of different types of quantum computing, Hopkins maintained. That is especially true in science-intensive industries.

In those areas, he said, leaders need “to follow the progress of the different types of quantum computers to understand when they might achieve supremacy in the domains where they have a business problem that could benefit.”

“For example, if you are in chemical manufacturing, and [researchers] hit supremacy in quantum chemistry — if a Google or an IBM can create some quantum algorithms that run on a quantum computer that can solve some theoretical quantum chemistry problems — you should know that,” Hopkins said.

Hopkins recently reported on the status of quantum computing applications in a Forrester blog.

Major tech companies getting into quantum

There is interest in machine learning, neural networks and AI among such quantum players as D-Wave Systems, Google, IBM and Microsoft. But Google, particularly, has AI on its mind when it comes to quantum endeavors, Hopkins said.

“The key to understanding why Google is doing this at all is to look at the name of its lab,” he said. “They call it the Google Quantum AI Lab. The reason for that is they believe the primary application for quantum computing is accelerating artificial intelligence.”

Quantum computing has a long history. With all the data needed to successfully train deep learning systems of the future, some exponential breakthroughs of the quantum kind could prove very helpful — eventually.

As Hopkins and other quantum aficionados might say: Watch this space.

TP-Link EAP245 AC1750 Wireless Dual Band Gigabit Ceiling Mount Access Point

Hi Folks,

I have a TP Link access point for sale. Its the EAP 245 model and can accpet POE power. Great unbit with good range, only selling as my new place doesnt need the extra coverage. Looking for £65 inc postage.

EAP245 | AC1750 Wireless Dual Band Gigabit Ceiling Mount Access Point | TP-Link United Kingdom

Price and currency: 65
Delivery: Delivery cost is included within my country

TP-Link EAP245 AC1750 Wireless Dual Band Gigabit Ceiling Mount Access Point

Networking bits

Hi guys,

Two things for sale:

Cisco Wireless-N Access Point (with POE) WAP4410N £15
Netgear 5 port Gigabit switch (unmanaged) GS605 £10

Prices include postage.

Cheers, Billy.

Price and currency: 25
Delivery: Delivery cost is included within my country
Payment method: Paypal
Location: Lincolnshire
Advertised elsewhere?: Not advertised elsewhere
Prefer goods collected?: I have no preference…

Networking bits

Top 10 blog posts of 2017 illuminate top CIO goals

SearchCIO’s most popular blog posts of 2017 point to a set of lofty — and mandatory — CIO goals: artificial intelligence, digital transformation, multicloud management. IT leaders are learning all they can about these tech trends. The aim? To help their companies gain business advantage — before their competitors do.

Readers perused posts about avoiding getting locked into relationships with public cloud vendors, the absence of a universal platform for digitally connected smart cities and the coming proliferation of AI in the workplace.

The blogs IT leaders showed interest in 2017 were about how to install robotic process automation technology, what copy data management software is good for and what to look for in cloud management platforms. Moreover, they revealed some of the top CIO goals of 2017. Here are the year’s 10 most-read blog posts.

10. Managing the unmanageable

IT departments today are overseeing an ever-expanding assortment of cloud services — and it’s not easy. Each service requires a different management tool, and juggling all that “is just painful,” said IBM cloud development expert Mike Edwards. In “Out of many, one hybrid cloud management platform,” Edwards gives a rundown of the functions to look for in cloud management platforms, commercial tools meant to rein in cloud chaos. Among them are integration, so they can pull together disparate computing systems; general services, including a central portal to manage all a company’s cloud services; and financial management, to track the resources consumed and how much money is spent on them.

Cloud management platform functions
This slide, from a Cloud Standards Customer Council presentation in July, outlines the capabilities of a cloud management platform.

9. Cloud, consolidated

The public cloud firmament is ruled not by a pantheon of platform providers but by a tiny clique of cloud gods. According to an August report by Forrester Research, organizations hosting IT and business operations in the cloud shouldn’t let the small number of big players — Amazon, Microsoft and Google are the top three — lull them into a one-provider strategy. Those that do may see business come to a halt should the provider experience an outage. Or they may complain bitterly if a provider raises its prices — and then grudgingly pay up. In “Forrester: Go multicloud, ditch public cloud platform lock-in,” analyst Andrew Bartels advises CIOs on ways to reap cloud benefits — and lower risk. 

8. Making data talk

Bob Rogers, chief data scientist, Intel Corp.Bob Rogers

What makes a great data scientist? At a talk at Harvard University, Bob Rogers, chief data scientist at Intel Corp., started with what doesn’t: creating a report the business just asked for. A great data scientist needs to understand algorithms and statistics to produce analytics, of course, but “can also communicate with the stakeholders who are going to use those results.” In “What Intel’s Bob Rogers looks for when hiring data scientists,” Rogers describes the detailed “conversation” these practitioners need to have with users of data in order to dig up the insights that matter to the business.

7. Urban renewal

City CIOs examining initiatives aimed at making their cities “smart” — using data to improve municipal services — are at a frontier. There are no technical standards for how data is collected and measured. There’s no analytical data platform. There’s not even one understanding of what a smart city is. “If you go to any smart city conference, you’re going to find as many definitions of a smart city as there are attendees,” said Bob Bennett, chief innovation officer for Kansas City, Mo. The post “Smart city platform: A work in progress” reports on a conference convened to address big questions swirling around smart city projects today. The verdict? It’s too early for answers.

6. What’s my job?

Know of a chief digital officer hired to drive employee productivity and operational efficiency? Then the job description is in need of a redo, said Jim Fowler. “That’s the role of the CIO,” the vice president and CIO at General Electric said at MIT Sloan CIO Symposium in May. Fowler delineates the two roles in “CIO doesn’t play chief digital officer role at GE.” The CDO should be focused on using data to develop commercial products, Fowler said. At GE, an old company going through huge digital changes, the roles are separate and distinct. As CIO, Fowler is working toward a billion-dollar productivity target. The CDO, who happens to be his boss, William Ruh, “is focused on turning us into a $10 billion software business.”

From left to right, Peter Weill, of MIT; Jim Fowler, of GE (on screen); David Gledhill, of DBS Bank; Ross Meyercord, of Salesforce; and Lucille Mayer, of BNY Mellon, chat on stage at the MIT Sloan CIO Symposium in Cambridge, Mass., on May 24.

5. The business of AI

CIOs who want to inject AI into their companies’ lifeblood have some work to do. Today, 80% of organizations are considering use of AI or examining it, while just a small percentage are using it in their core business, according to McKinsey & Co. research. In “McKinsey: You can’t do enterprise AI without digital transformation,” McKinsey partner Michael Chui said the entire organization needs to be on board “to move the needle from a corporate standpoint.” CIOs need to build the foundation for AI in business first by determining where the potential is — and then by pushing ahead on digital efforts, digitizing infrastructure, amassing data and making it easy to access.

4. Double take

Rosetta Stone’s Mark Moseley is thankful for having been to one boring meeting. The vice president of IT at the language-learning company agreed to meet sales reps from Actifio, which sells copy data management software. “I didn’t care,” he told SearchCIO in “Waking up to benefits of copy data management software.” “I was mostly zoned out of the meeting.” Until he realized that the vendor’s product could clone an entire database in minutes — and help his development team work more efficiently. After installing the software, Moseley found he could do other useful tasks, such as virtualize his data, which allows him to have to store less, and spin up disaster recovery sites in the cloud.

3. ‘What I want when I want it’

Nestlé’s 100-year-old water delivery business is going through an immense transition. The prime objective used to be making sure that customers didn’t run out of bottled water before a truck delivered more. “Now it’s, ‘Make sure you deliver what I want when I want it,'” said Aymeric Le Page, vice president of business strategy and transformation at Nestlé Waters North America. The post “Nestlé builds ‘digital ecosystems’ to transform its massive bottled water biz” describes the technological and cultural changes the company is ushering in to personalize its service for convenience-obsessed customers — and it draws a critical parallel to how IT leaders should be thinking about serving the business.

2. My software, my co-worker

AI will supplant the UI, Accenture says; count on it. “Accenture: AI is the new UI” examines the consulting outfit’s prediction — the rise of software tailored to individuals rather than programming for the masses. “The standard way people built applications 20 years ago was you had one interface to serve everybody,” said Michael Biltz, managing director of Accenture Technology Vision. CIOs should start overhauling customer-facing applications, Biltz said, equipping them with technology such as voice recognition to make interacting with them “more human or natural” — and then move to internal apps, to help make employees more effective and efficient.

1. Show me the value

David Brain, RPA consultant David Brain

Companies looking to robotic process automation should ditch POC for POV — that’s alphabet soup for proof of concept and proof of value — according to RPA consultant David Brain in “Proof of value — not proof of concept — key to RPA technology.” A proof of concept may show customers that the technology works — that it can automate a certain business process. What it doesn’t show is “whether there is a business case for automation and will it deliver the scale of improvements the company wants to achieve.” A proof of value for RPA, Brain said, shows whether the technology can automate systems in the precise way they’re used in a specific company.

Storage market trends of 2017: Flash, HCI and cloud gain steam

Obvious statement alert: Enterprise storage market trends point to challenging times ahead for vendors.

Rack-scale flash, hyper-converged infrastructure and hybrid cloud have emerged as legitimate alternatives to the traditional ways of buying, deploying and managing storage. Placed on a bell curve, the rise of these maturing storage options would intersect with a steady drop in the use of disk-based external storage systems.

Even as the enterprise storage market trends away from traditional networked storage, industry-shaping mergers are shaking things up. The demise of storage hardware may be greatly exaggerated, but software-defined storage is closing the gap. Despite all these changes, launching a successful storage startup is tougher than ever, with venture capital becoming increasingly scarce.

Here is a look back at some of the major developments in enterprise storage during 2017, and what lies ahead in 2018.

Merged Dell EMC in its infancy, but already a flash Goliath

Dell EMC capped off its first year as a merged company trying to figure out how to reverse its slumping legacy storage, particularly its midrange systems. Mirroring changes felt across the industry, Dell EMC generated less revenue year over year from networked storage, helping No. 2 NetApp gain ground on its longtime rival.

Dell EMC’s answer: double down on emerging technologies. A string of all-flash product rollouts was highlighted at the Dell EMC user conference in May, including flagship upgrades to high-end VMAX and XtremIO arrays, as well as the first all-flash model of Dell EMC Isilon scale-out NAS.

Dell EMC closed out the year by launching an all-flash version of its SC Series arrays in November, a follow-on release to its SC hybrid arrays. But not every all-flash product was a hit. Dell EMC claimed its DSSD D5 rack-scale flash array would deliver knock-your-socks-off performance, but that speed came at an extremely high price; the product was shelved due to poor sales.

Dell EMC is also a major player in the rapidly growing hyper-converged market. The vendor has had success selling both the VxRail appliance, based on its own technology, and the XC Series, which packages hyper-converged pioneer Nutanix Inc.’s software on Dell EMC PowerEdge servers.

Looking ahead, we may see more drastic changes in 2018 now that long-time EMC executive David Goulden is out of Dell EMC. Goulden led the premerger storage business at EMC, and served as CEO of the Dell EMC Infrastructure Solutions Group after the merger. Goulden’s presence provided Dell with some much-needed continuity as it absorbed the multibillion-dollar EMC storage business. How Dell EMC replaces Goulden’s institutional memory is one storyline to watch.

Storage industry preps for rack-scale NVMe flash

If 2016 was the year of all-flash, you could argue that 2017 emerged as the year of nonvolatile memory express (NVMe) flash. NVMe is an industry standard for using PCIe-connected SSDs to speed the performance of storage networks. The principle behind all-flash NVMe is that SCSI commands written for hard disk drives are inefficient to handle many modern, high-performance workloads. Analysts say NVMe flash is the presumptive favorite to supplant SAS- and SATA-based SSDs.

Enterprise storage market trends in NVMe have typically involved all-flash array vendors adding support for NVMe SSDs. Kaminario, Pure Storage, Tegile Systems and Tintri Inc. introduced NVMe-based flash systems in 2017.

In most cases, storage vendors make NVMe flash the back-end connection between controllers and drives, retaining host connectivity with Fibre Channel or SCSI. The next evolution is rack-scale systems designed with NVMe over Fabrics (NVMe-oF) technologies, which would enable low-latency NVMe flash to be extended end to end across the data path.

NVM Express Inc., the vendor-driven standards body, unveiled protocol version 1.3 of NVMe-oF in June. Several NVMe flash startups joined the pursuit this year, including Apeiron Data Systems, E8 Storage, Pavilion Data Systems and Vexata. Signs point to increased NVMe flash adoption in 2018, but how much is unclear. Industry experts say across-the-stack NVMe standardization is likely at least a year or two away.

Also in flash this year, Intel introduced its long-awaited Intel Optane SSD family, based on the 3D XPoint memory technology it developed with Micron Technologies.

Storage infrastructure smartens up

One of the hottest enterprise storage market trends to track in 2018 is the rising prominence of artificial intelligence in the data center. Vendors are starting to integrate AI-based analytics engines directly into the storage layer, providing insight on sizing, potential bottlenecks and looming performance issues.

But analyzing storage performance is only part of the equation. AI combines parallel processing and intelligent algorithms for analyzing data in context. Serverless computing, containerized application microservices and proliferating internet of things devices have all contributed to AI’s growing popularity.

Applications with embedded machine learning are able to automate a greater number of data center tasks. DevOps organizations are using AI-powered computing devices to rapidly analyze big data streams in real time. The goal is to mine more value from existing data sets and metadata.

Hyper-converged infrastructure gains wider appeal

Hyper-converged infrastructure (HCI) leader Nutanix made several moves to woo VMware customers to try its Acropolis hypervisor. An OEM deal has enabled IBM to sell Nutanix HCI software on its Power Systems servers — the first non-x86 server platforms it has qualified. Nutanix hasn’t fully abandoned its branded hardware model, but may be headed in that direction.

Nutanix’s early HCI rival, SimpliVity, had less success in the market, and Hewlett Packard Enterprise (HPE) bought out SimpliVity for $650 million in early 2017. SimpliVity’s OmniStack software enables HPE to integrate data reduction and redundancy features that its Hyper Converged 250 and Hyper Converged 380 HCI offerings lacked.

Cisco snapped up HCI software partner Springpath for $320 million, ending rumors that it planned to acquire Nutanix. Springpath provides software-defined storage for the Cisco HyperFlex HCI platform.

Open source vendor Red Hat tossed its hat into the HCI ring, as well. Red Hat Hyperconverged Infrastructure is a software-only product that runs the Gluster file system on commodity servers.

In a long-overdue move, NetApp belatedly entered the hyper-converged battle with its NetApp HCI platform based on its SolidFire branded all-flash arrays and Element OS quality-of-service software.

Investors lose patience with storage startups

Tightened capital markets made for tough sledding for several once-promising startups. Several vendors went belly up when the money ran out, including three companies that once earned a spot on the SearchStorage.com startups to watch list: Coho Data Inc., DataGravity and Formation Data Systems.

Software-defined storage startup Formation Data dropped out of sight in May, victimized by its failure to differentiate itself in a fast-growing — and suddenly overcrowded — market.

DataGravity proved that having executives with a history of storage success does not guarantee sustained success. Founded by Paula Long and John Joseph, DataGravity launched in 2014 by selling data-aware Discovery Series hybrid storage arrays. Long and Joseph were part of the management team that joined Dell following its $1.4 billion acquisition of iSCSI SAN pioneer EqualLogic in 2008.

DataGravity abandoned the Discovery Series hardware in 2015, shifting its focus to storage software for virtualized storage arrays. The new strategy didn’t help. In July, DataGravity was scooped up in an asset sale by cloud security specialist HyTrust.

Scale-out NAS vendor Coho Data was once a darling of venture and institutional investors, racking up $76 million to develop its NFS-based hybrid DataStream arrays. Despite striking OEM deals with server makers HPE and Supermicro, Coho Data succumbed to ascendant enterprise storage market trends as more users embraced the cloud, converged and hyper-converged infrastructure. In September, without fanfare, Coho Data quietly pulled the plug on its operations.

After its launch in 2003, Diablo Technologies racked up nearly $100 million to develop its flash DIMM and Memory1 flash storage memory modules. Diablo also scored 2014 OEM deals with IBM and Supermicro to sell its flash cards. Diablo started 2017 on a high note, winning court victories in a contract dispute with Netlist, its former development partner. They turned out to be Pyrrhic victories, though. The legal battles ended Diablo’s momentum and, by August, the vendor ceased operations.

Investors haven’t pulled completely away from storage, but the big funding rounds are now going to cloud backup, converged storage and data management startups.

Storage hardware loses ground to software-defined storage

Despite Formation Data’s demise, software-defined storage continues to chip away at legacy hardware dominance. That continues the server-based storage market trends that started several years ago. Most array vendors are downplaying the importance of their hardware, styling the products as data management platforms or cloud arrays for running their proprietary software.

An example is Tintri, which went public in June with a $60 million stock sale. The Tintri offering faced stiff headwinds from the start. Tintri conjures memories of Violin Systems LLC, an all-flash array pioneer that staggered into bankruptcy, only to re-emerge with fresh capital in 2017. Violin’s new plan: Target all-flash arrays at companies looking to build on-premises private clouds — the same business model Tintri is trying to execute.

Blockchain identity management simplifies personal security

Identity management is a pain point for many companies and individuals, but blockchain could help solve some of the challenges.

When banking, traveling, providing proof of age or accessing corporate data, individuals must prove their identity. But it can be difficult for users to keep track of all the different pieces of identification they must present to do so. ShoCard, a software provider in Cupertino, Calif., aims to eliminate the need for multiple forms of identification, usernames and passwords, and give users more control through the use of its blockchain identity management tool.

“Since it is your data, really, you have the right to hold it, to operate it as you wish,” said Alexander Novoselov, the head of innovation at Creditinfo Group, a ShoCard customer headquartered in Iceland.

How blockchain identity management works

ShoCard offers an identity management tool that uses a blockchain-based digital verification and authentication process. Blockchain is a type of database that is secured using cryptography and encryption key techniques. A user’s identity information is stored on the blockchain to a hashed version of what’s called the public key. Each user also has a private key, which allows them to safeguard their personal data and prove to those with whom they share the data that it belongs only to the person sharing it.

The idea with blockchain identity management is to store and encrypt data on users’ mobile devices, rather than in a central database. Since credentials are stored on the device, an attacker would have to hack phone by phone and wouldn’t be able to compromise many identities at once.

Although the mass appeal of blockchain identity management remains to be seen, there is potential in very strict compliance-oriented fields, said Eric Klein, director of mobile software at VDC Research in Natick, Mass.

“They are definitely unique in the market for doing something that hadn’t occurred to me as a means of enhancing your security,” Klein said.

Customers can use ShoCard software development kits to integrate the technology into their mobile applications and servers. The client app then prompts users to take pictures of their valid government IDs, and ShoCard extracts the personal information. The user then sets up a passcode or fingerprint verification as an added security measure. When a user decides to share the data with a third party, the information is placed in an encrypted container on the blockchain, which no one — including ShoCard — can access, except the party with whom the user is sharing it.

Blockchain pays off

Creditinfo adopted ShoCard for a few of its customers. It needed to allow customers to not only have control over their own credit data, but also be able to securely transfer data between different countries, Novoselov said.

For example, if a person from India goes to a U.S. bank and tries to get a credit card, it brings complications. Creditinfo cannot share data from India in the U.S. because of a difference in privacy laws between the two countries. Creditinfo needed a tool to allow people to bring their credit histories with them anywhere.

This is a new way of bringing confidence that the data is in safe hands.
Alexander Novoselovhead of innovation at Creditinfo

Customers can now download the Creditinfo app, which incorporates ShoCard technology via the vendor’s software development kit, and securely access and share their credit score data on their mobile devices.

“This is a new way of bringing confidence that the data is in safe hands,” Novoselov said.

Based on this same blockchain identity management technology, ShoCard also offers ShoBadge, an app that allows employees to hold their encrypted ID information on their mobile devices. Unlike with ShoCard, customers don’t have to write any code; instead, they just use the app directly.

ShoBadge allows employees to access all of their corporate apps by authenticating through the app, rather than requiring different logins to different applications or devices. It also allows them to securely share their identities at the workplace — with human resources, for example. There is no longer a central database at the company where all the users’ sensitive personal information is stored. Thus, employees bring their own identity, and there is no username and password management in the hands of a third party.

The identity management market remains fragmented, with some existing vendors who have the benefit of being in the game for a long time, Klein said. But this does not mean that all customers have decided on which technology to adopt, which is why a new company like ShoCard has been attracting some pretty serious venture funding, he said.

“There are people betting on other technologies maybe surpassing what we have today,” he added. “Integrating sophisticated blockchain capabilities as a path certainly has potential.”

Wanted – Ubiquiti Cloud key


Looking to fix poor wifi receiption, looking to get a Ubiquiti wireless access point, has to be AC and i would prefer the pro version as well


Location: Ldn

This message is automatically inserted in all classifieds forum threads.
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  • Landline telephone number. Make a call to check out the area code and number are correct, too
  • Name and address including postcode
  • Valid e-mail address

DO NOT proceed with a deal until you are completely satisfied with all details being correct. It’s in your best interest to check out these details yourself.

Wanted – Ubiquiti Cloud key


Looking to fix poor wifi receiption, looking to get a Ubiquiti wireless access point, has to be AC and i would prefer the pro version as well


Location: Ldn

This message is automatically inserted in all classifieds forum threads.
By replying to this thread you agree to abide by the trading rules detailed here.
Please be advised, all buyers and sellers should satisfy themselves that the other party is genuine by providing the following via private conversation to each other after negotiations are complete and prior to dispatching goods and making payment:

  • Landline telephone number. Make a call to check out the area code and number are correct, too
  • Name and address including postcode
  • Valid e-mail address

DO NOT proceed with a deal until you are completely satisfied with all details being correct. It’s in your best interest to check out these details yourself.