Upgrades to on-premises Avaya products will be released in bits

Avaya Inc. plans to make new unified communications and contact center features available to on-premises customers through a series of smaller releases, eschewing the traditional model of bundling several significant upgrades into batch releases.

The company hopes breaking the updates into wieldy chunks will give users of on-premises Avaya products more flexibility in deploying the features that make sense for them, at their own pace.

Avaya is gearing up to release this summer a new routing platform for contact centers that will make it possible to direct incoming customer calls to agents based on the attributes of the caller and available support representatives.

The company is taking a similar approach for planned upgrades to agent desktops and analytics technologies, letting customers deploy new features without changing other aspects of their contact center.

“We’ve really allowed our customers to take the roadmap in very small, manageable components going forward, only upgrading a portion of the environment, if you will, at a pace that makes sense for them,” said Chris McGugan, Avaya’s senior vice president for solutions and technology.

Avaya has been focused on rebranding itself as a cloud-first company over the last couple of years, seeking to keep pace with the increasing desire by businesses to consume UC and contact center from the cloud.

However, the vast majority of its customers are still using on-premises Avaya products: just 3.7 million of Avaya’s roughly 145 million seats are in the cloud. Moreover, the company continues to sign new on-premises customers.

Behind the public-facing bluster about cloud, 80% of the money Avaya invested in research and development (R&D) last fiscal year went toward its on-premises portfolio. In fiscal 2019, McGugan expects on-premises investments to remain well above $150 million, or around 70% of the total.

Harmonizing cloud, on-premises Avaya products

Avaya is spending much of its R&D money on modernizing on-premises architectures to give customers more flexibility to run hybrid and private clouds, McGugan said. Avaya wants to be able to deliver the same experience to users regardless of where they deploy its software.

image of Avaya Senior Vice President Chris McGugan
Chris McGugan, Avaya’s senior vice president for solutions and technology, spoke at the company’s annual Engage user conference last month in Austin, Tex.

To that end, Avaya has invested in a relatively quick way to deliver single-tenant UC and contact center clouds. Those clouds provide a level of customization and security akin to a private cloud in a company’s data center.

Avaya also recently unveiled an online storefront for selling public cloud services. However, most of the company’s cloud seats are in private clouds, which its customer base of predominately large businesses seems to prefer.

“What we’re really seeing is our customers are coming to us and saying, ‘We really like the resiliency, the functionality, the feature base that we have in our premise kit. We’d like to move it into a managed service; we’d like to move it into a private cloud infrastructure,'” McGugan said.

At Avaya’s annual Engage user conference last month, the company did not talk specifically about new features planned for on-premises Avaya products, said Irwin Lazar, an analyst at Nemertes Research.

Similar to Mitel, another legacy vendor now pivoting to the cloud, Avaya is focused on integrating its on-premises and cloud platforms.

Lazar said one target in that campaign would likely be addressing the growing overlap between Aura, Avaya’s enterprise UC offering, and IP Office, a UC offering targeted initially at small businesses that have now matured enough to support many midsized businesses.

Avaya needs to clarify the size cutoffs between Aura and IP Office, or consider merging them into a single solution.

“[Avaya’s] plan is to do what everybody else is doing and harmonize on-prem and cloud, so you create an easy migration opportunity for on-prem customers to be able to take advantage of cloud features,” Lazar said.

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For Sale – Acer Revo RL80 with IR Mod

Discussion in ‘Desktop Computer Classifieds‘ started by ds17, Jan 28, 2019.

  1. ds17

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    This has been my trusted Kodi box but I have recently upgraded to 4K so no longer required.
    It’s running an Intel Celeron 1007 1.5GHz upgraded to 4GB of ram on the latest stable build of LibreELEC on a 500GB HDD.
    It also has an IR receiver mod which works brilliantly, allowing full control via a Logitech Harmony or any other universal remote.
    Runs heavy skins smoothly, frame rate switches and passes through HD audio whilst being quite under load.
    The original 2GB of ram is still in the box along with original power supply and the stand that came with it.
    Happy to answer any further questions

    Price and currency: £35
    Delivery: Delivery cost is not included
    Payment method: Bank Transfer
    Location: Hertfordshire
    Advertised elsewhere?: Not advertised elsewhere
    Prefer goods collected?: I have no preference

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    Last edited: Feb 12, 2019

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    size of hard drive ?
    accepting offers ?

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    500GB
    Am open to sensible offers

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    Price lowered

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    Price reduced

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    I’d like to offer 30.00 delivered, thanks

    Glen

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    offer of £40 delivered here !

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    Happy to accept £40 inc

    @ruru
    Will PM you now

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Introducing Dynamics 365 mixed reality applications for HoloLens 2 and mobile devices – Microsoft Dynamics 365

Hey everyone!

Some of the most inspiring mixed reality fans we’ve met are those who have become champions of forward motion within their organizations. These people are agents of change who look at the working environment around them and discover firsthand the opportunity mixed reality represents to engage employees and improve operations in ways that simply weren’t possible before. These are also the agents of change in our own team—the individuals who influence how we build products, prioritize features, and provide continuous value to customers in monthly updates.

Last year, we released Dynamics 365 Remote Assist and Layout, two new mixed reality apps built specifically for the needs and problems customers told us they wanted to be able to solve. People have told us they’re already seeing immense value as they deploy Remote Assist and Layout across their organizations. This is extremely fulfilling for us as it’s why we’re here, and it motivates us to do more. In December, I promised that you could expect more from Dynamics 365 mixed reality this year. This week marks the next step in our journey together.

Check out what we announced this week.

HoloLens 2

Yesterday, we introduced the world to HoloLens 2. Customers asked us to focus on three key areas to make HoloLens even better. They wanted HoloLens 2 to be even more immersive and more comfortable, and to accelerate the time-to-value. I’m inspired to see what new things customers will accomplish with HoloLens 2 and Dynamics 365 mixed reality applications.

Get Dynamics 365 Remote Assist with HoloLens 2

We’re also making it possible for organizations to get HoloLens 2 and Remote Assist together for a low monthly price per employee – learn how to preorder here.

Benefits include:

  • Same-day deployment
  • Low-cost financing for the device
  • Enterprise-grade security
  • No custom development required

Learn how to get Remote Assist with HoloLens 2

Dynamics 365 Guides for HoloLens devices

One of the things we’ve continued to hear from customers is the growing need to equip new employees with skills as they get started on-the-job, so they can get up to speed faster and do what they do even better.

This week we introduced Dynamics 365 Guides, a new mixed reality app that empowers employees to learn by doing. Guides enhances learning with step-by-step instructions that guide employees to the tools and parts they need and how to use them in real work situations.

With Guides, we’ve also eliminated a longstanding problem that’s existed with AR and VR experiences: the need for an easy way to create content. In addition to the experience of using Guides on HoloLens, a Guides PC app makes it easy to create interactive content, attach photos and videos, import 3D models, and customize training to turn institutional knowledge into a repeatable learning tool.

Employee performance data is securely collected and pulled into real-time Power BI dashboards, making it easy to identify where instruction is needed and where to improve the process.

Guides is available today in preview for existing HoloLens customers and will become generally available on HoloLens 2 later this year.

Learn more about Guides

Dynamics 365 Remote Assist for mobile devices

At Microsoft Business Forward in Paris, James Phillips and Alysa Taylor announced that we’re bringing our mixed reality communication app cross-platform.

Customers continue to tell us that HoloLens is the best mixed reality device for business, and that it’s a breakthrough for many areas that require heads up, hands free work. But we also know that many employees carry AR-capable phones and tablets everywhere they go. We want to provide every employee with the ability to get help from experts in remote locations, no matter what device they use.

Remote Assist will be coming to Android in preview on April 1st.

Learn more about Remote Assist

A man using Microsoft Dynamics 365 remote assist for mobile devices on his phone.

Dynamics 365 Product Visualize for mobile devices

As we’ve listened to all the ways customers have told us they want to be able to use mixed reality, a universal desire they share is the ability to look at something together through a hologram or 3D visualization that stays in place in the actual, physical environment.

That’s what led us to announce Dynamics 365 Product Visualize this week; it’s a new way to empower sellers to showcase and customize product visuals in their actual environment so they can interact with and understand the product. This helps create a shared understanding between buyer and seller, allowing stakeholders to quickly weigh in and answer questions—helping simplify complex sales processes. Product Visualize integrates deeply with Dynamics 365 for Sales. This means voice notes and annotations captured by the seller are saved to the sales opportunity so sellers can leverage this information from a customer visit in future engagements.

Product Visualize comes to iOS in preview on April 1st.

Microsoft Dynamics 365 Product Visualize shown on a tablet.

Customers continue to inspire us

This week, we also shared that PACCAR is exploring Guides and HoloLens devices to improve manufacturing productivity and employee onboarding. We’ve learned a ton from spending time with the team at PACCAR and we’ve used what we’ve learned to build the product. We’re humbled to share their story with you.

I can’t wait to hear your feedback and ideas and I’m energized to see what you do with mixed reality in your business—let me know at @lorrainebardeen

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Author: Steve Clarke

What advantages do Windows Server cluster sets offer?

Failure in the data center is inevitable, but a new feature called Windows Server cluster sets tries to keep those disruptions to a minimum.

Clustering has long been a staple of workload resilience in the data center. Applications in a cluster operate across multiple redundant instances to share the load to keep things running, even when a node in the cluster fails. Until recently, the technology has been limited in scope, architecture and resources. Windows Server 2019 introduces more sophisticated clustering, referred to as cluster sets, for highly scalable software-defined data centers.

Windows Server cluster sets combine clusters into a common logical fabric that can span facilities and geographic regions. Each cluster within the fabric retains independent resiliency, but provides greater fluidity and a unified storage namespace to share VMs and other resources across the greater fabric.

How cluster sets increase resiliency

The goal of cluster sets is to support scale-out — rather than scale-up — capability. Consider a typical cluster: If the storage or memory resources start to run low, the administrator must scale up the cluster by adding more resources.

However, that isn’t always a simple proposition. For example, adding storage may affect rebuild times, and it may be impossible to add more memory on hosts with full dual in-line memory module slots. Adding more nodes or redesigning an entirely new cluster is often expensive and undesirable.

Windows Server cluster sets combine multiple clusters into a fabric, so member clusters can share resources, such as storage and memory. This scale-out behavior reduces costs and adds flexibility to clustering without compromising the resiliency of the individual member clusters.

For example, a cluster that uses storage technology such as Storage Spaces Direct can survive the loss of two nodes. Thus, a cluster with four nodes will fail if three nodes fail. Yet, a cluster with eight nodes will also fail if three nodes fail. By comparison, in Windows Server 2019’s cluster sets, two clusters with four nodes each can still function if the same three nodes crash.

Combining clusters into a greater fabric doesn’t necessarily improve the hardiness of individual member clusters, but establishing a fabric of clusters and sharing resources can provide better resilience across the overall fabric. The fault boundary does not extend beyond the member cluster where the fault occurs.

Cluster sets break previous hardware restrictions

Windows Server cluster sets combine clusters into a common logical fabric that can span facilities and geographic regions.

At a low level, cluster sets can ease the limitations posed by cluster hardware requirements. For example, typical clusters require closely matched processor capabilities. However, those requirements do not extend across the entire fabric.

It is possible to create one cluster of older hardware and another cluster of newer hardware, and then join both clusters using Windows Server 2019 cluster sets. This can help organizations looking to repurpose or extend the lifecycle of existing hardware, while mitigating the investment in new hardware.

At a higher level, a cluster set can include clusters located in different physical areas to implement cloud-like availability sets or availability zones.

Cluster sets ease VM management

Windows Server cluster sets can simplify cluster management. Once an administrator establishes the cluster fabric with a unified namespace, they can use centralized cluster management to select the cluster and node best suited to handle a new VM based on the requirements and each cluster’s available resources. Conversely, admins can tag VMs with specific needs to utilize predetermined clusters.

IT pros can move VMs between member clusters, while the individual cluster will determine which node should receive the VM. This behavior can benefit administrators with tasks such as transferring all VMs off an aged cluster before decommissioning it.

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Microsoft announces latest Windows IoT innovations for intelligent edge devices at Embedded World | Windows Experience Blog

At Microsoft, we’re focused on simplifying the Internet of Things (IoT) by making it easier to quickly build secure, smart devices that leverage the intelligent cloud while harnessing the full power of the intelligent edge, including artificial intelligence (AI), machine learning, and robotics.
This week at Embedded World in Nuremberg, Germany, we’re announcing new products and services for Windows IoT to help make this real for device manufacturers, solution developers, and customers.
Here are some highlights of what we’re unveiling at Embedded World.
Windows Server IoT 2019 is here
Windows 10 IoT provides a family of operating systems for device builders to develop solutions, from compact low-power devices to servers and everything in between. This includes Windows 10 IoT Core for small-footprint, smart-edge devices and Windows 10 IoT Enterprise, which brings the full power of Windows to IoT devices.
Today, we’re pleased to announce the release of Windows Server IoT 2019 to securely handle the largest edge workloads with fixed-function, server-class devices. With full binary compatibility to Windows Server 2019, device manufacturers can build server-class IoT edge devices that enable high-capacity storage and compute scenarios and seamlessly scale between cloud and the edge. For example, imagine network videorecorders or high-end gateways, connecting thousands or even tens of thousands of sensors or devices, then storing, analyzing, and acting on these data streams in near-real-time with reduced latency and bandwidth consumption through utilizing the power of the intelligent edge.
Easier innovation at the edge
New capabilities for Windows 10 IoT are oriented to making developers’ jobs easier:

Azure IoT Edge for Windows—Developers can easily bring cloud workloads to the edge so that they can harness the full power of the Windows 10 IoT platform. They can scale IoT solutions across the cloud or edge with a managed service that delivers cloud intelligence locally by deploying and running AI, Azure services, and custom logic directly on cross-platform IoT devices. Customers benefit by deploying cloud applications and services on the edge, while ensuring they meet latency, bandwidth, and data privacy requirements. With these capabilities, it’s easy to see how devices get smarter.
Azure IoT Device Agent for Windows—Customers across industries, whether in an industrial setting or retail environment, are looking for ways to remotely provision and manage their IoT devices. Direct device access may not always be feasible when IoT devices are out in the field or on the factory floor. Microsoft Azure IoT Device Agent enables operators to configure, monitor, and manage their devices remotely from their Azure dashboard.
Robot Operating System for Windows IoT—Now developers can build and deploy commercial-grade Robot Operating System (ROS) solutions on Windows, making robots easier to develop, more aware of their surroundings, and safer to be around. Bringing ROS to Windows IoT enables rich AI and intelligent edge capabilities, including hardware-accelerated Windows machine learning, computer vision, Azure Cognitive Services, and turnkey connection to Azure IoT cloud services. In addition, customers can benefit from the enterprise security, manageability, and supportability Windows IoT brings to robotic and industrial systems.

“Microsoft has been a valued addition to the ROS-I Consortium,” says Matthew M. Robinson of the ROS-Industrial Consortium Americas. “Our membership has expressed significant interest in developments that will bring the advanced capabilities of ROS to industrial applications on the Windows platform and enable richer integration with other Microsoft tools that the Consortium membership have come to leverage.”
Extending device and silicon support
Microsoft continues to partner with silicon providers to ensure a broad range of hardware support for Windows 10 IoT.
Strengthening partnership with NXPWe are pleased to continue our partnership with NXP and are announcing a public preview for Windows 10 IoT Core with built-in Azure connectivity, running on the i.MX 8M and i.MX 8M Mini applications processors. The i.MX 8M family of applications processors will enable secure, power-optimized devices for the intelligent edge that give developers a choice of Linux or Windows IoT. Developers can quickly build new intelligent devices using the familiar and powerful Windows development environment and commercialize them using our powerful Azure IoT platform as well as Azure Cognitive Services. In addition, NXP has worked with Microsoft to enable Azure IoT Edge on Linux for the i.MX 8M and i.MX 8M Mini applications processors. Azure IoT Edge allows customers to deploy and manage containerized cloud workloads running on i.MX8 devices from their Azure IoT dashboard.
“We are pleased to expand our partnership with Microsoft to bring Azure IoT Edge to our high-performance, multicore i.MX 8M applications processors platform,” says Geoff Lees, senior vice president of microcontrollers at NXP. “With this addition, NXP customers will have access to industry-leading edge computing solutions, from i.MX 6 to i.MX 7 and i.MX 8/8M across Windows 10 IoT Core and Linux operating systems, for advanced industrial and IoT applications, harnessing the full power of Azure in their intelligent edge products.”
Qualcomm Snapdragon support for always-on, always-connected IoT devicesOur partnership with Qualcomm and board providers enables developers to harness the power of the Snapdragon family of processors with Windows 10 IoT Enterprise. Customers gain always-on connectivity and the power management capabilities of Snapdragon, with the full power of Windows 10 IoT Enterprise.
“The combination of Qualcomm Technologies’ cutting-edge platforms and Windows 10 IoT Enterprise can enable always-connected, always-on intelligent edge devices to help companies of all sizes and industries deliver on the promise of IoT. We’re excited to support the work of companies like USI, with its SOM 850, and Thundercomm, with its TurboX AI Kit, as they bring their products to commercialization,” said Jeffery Torrance, vice president, business development, Qualcomm Technologies, Inc.
Customers from across industries are simplifying digital transformation with Windows IoT
Building and deploying IoT solutions can be complex, expensive, and time-consuming. Customers and partners are looking for ways to take connected devices to market fast, capitalize on smart capabilities that drive new applications and services, and ensure device security. Action Point, an IT services company headquartered in Ireland, used Windows 10 IoT Enterprise to create a predictive maintenance solution for its manufacturing customers called IoT-PREDICT. The Action Point solution uses AI, machine learning, and data analytics to identify and resolve potential issues. Manufacturers benefit by reducing downtime and costs and increasing efficiency.
“Because IoT-PREDICT is built on Windows 10 IoT Enterprise, it’s very easy for customers to deploy,” says John Savage, ActionPoint co-founder and chief technology officer. “They’re essentially just installing a Windows 10 IoT device on their network, with the same familiar management and security framework they already use to manage their other Windows-based devices.”
IDEX Fire and Safety provides equipment that helps firefighters and emergency medical technicians perform lifesaving duties. The company needed to ensure that equipment would always be available, without risk of malfunctioning or going offline. IDEX Fire and Safety chose Windows 10 IoT Core and the Microsoft Azure Government cloud to develop the Captium platform to connect all in-truck systems. The IoT solution provides telemetry, health reporting, and predictive maintenance that keeps emergency vehicles operationally ready 24×7, 365 days a year.
“Windows IoT Core enabled us to leverage our existing skills and provides the security and trust we needed to develop a demanding application that helps ensure first responders’ equipment is always operationally ready,” says Jeffrey Zook, marketing manager, IDEX Fire and Safety. “Windows IoT Core, combined with Azure, provided IDEX with the end-to-end platform to build our solution.”
Learn more about how Windows IoT is powering what’s next, securely
A fundamental challenge of digital transformation is protecting IoT devices from vulnerabilities. At Embedded World, we’re not only introducing new Windows 10 IoT products and services—we’re also showcasing how Microsoft stands behind your IoT devices throughout their lifespans, including 10-year support for security updates via the Windows Long-Term Servicing Channel.
Come and see real-world Windows IoT-based solutions—robotics, securely connected factories, remote field service and predictive maintenance, among others—on display at the Microsoft booth #422 in Hall 4 at Embedded World. We’d love to talk about the possibilities our IoT platform can bring to your company.
Learn more about Windows 10 IoT.

TensorFlow.js brings machine learning to JavaScript

Google built TensorFlow.js to bring machine learning to a broader group of developers, which has quickly embraced the technology.

Machine learning has gained popularity as a way to infuse intelligence into applications. TensorFlow is a popular platform for machine learning, although the majority of machine learning packages target Python developers. Nevertheless, with TensorFlow support for JavaScript, Google will bet the odds with machine learning and TensorFlow.js. JavaScript is the number one programming language by many measures, said Sandeep Gupta, a product manager for TensorFlow at Google.

In 2017, there were 2.3 million GitHub pull requests compared to 1 million for Python, Gupta and his team wrote in a technical paper supporting TensorFlow.js. And the open source TensorFlow.js code has been downloaded more than 300,000 times since its release last year, he said.

In essence, Google wants to make it easy for hundreds of thousands of JavaScript developers to use machine learning without the need to learn Python, Gupta said.

Running in the browser

Increasingly in AI, developers want to do more powerful things with browsers, such as speech recognition; image and object recognition; and pattern and anomaly detection. TensorFlow.js aims to put that power in the browser form factor without the need for additional cloud resources or specialized server or chipsets.

Sandeep Gupta, TensorFlow product manager Sandeep Gupta

“This means that even casual app developers looking to add machine learning capabilities to their web-based apps or even mobile apps that leverage JavaScript- or Node.js-based server apps can use TensorFlow.js to add that capability,” said Ronald Schmelzer, an analyst at Cognilytica, in Ellicott City, Md.

TensorFlow.js runs machine learning models entirely in the browser, using JavaScript and high-level layers API. As TensorFlow presides as the standard library for building machine learning models these days, TensorFlow.js enables JavaScript developers to reuse TensorFlow skills, extensions and models, and will enable more standardization across the field as a whole, said Adam Smith, CEO of San Francisco-based Kite, which uses machine learning to help developers write code.

Even casual app developers looking to add machine learning capabilities to their web-based apps or even mobile apps that leverage JavaScript- or Node.js-based server apps can use TensorFlow.js.
Ronald Schmelzeranalyst, Cognilytica

This also points to another growing trend to provide many server-side capabilities through JavaScript, said Torsten Volk, an analyst at Enterprise Management Associates, in Boulder, Colo.

“TensorFlow.js is one more example of this, making TensorFlow-driven machine learning accessible to full-stack developers,” he said.

Server-side installation is not required. This lowers the threshold even further, which attracts even more front-end-centric developers to explore TensorFlow-based machine learning, Volk added.

Additionally, rather than download the TensorFlow.js package, developers can embed JavaScript packages directly in their applications through a call to a JavaScript library and run it from their webpage.

TensorFlow.js has more than three million hits to its library, and there have been over three million instances where people have made a call to the TensorFlow JavaScript model, Gupta said. Moreover, downloads are up 50% over the last six months compared with the previous six-month period, Gupta said.

He said he thinks this is just the beginning. Potential use cases for TensorFlow.js include the production of finished, off-the-shelf machine learning models that developers can directly embed in their applications for some quick and easy AI.

However, Google also works with large enterprise partners such as Uber, Walmart and PayPal that have standardized on Node.js, a server-side JavaScript environment, to see how machine learning pipelines could become core in their Node.js environments, Gupta said.

“Anywhere you are using JavaScript code, you can use TensorFlow.js,” he said.

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For Sale – Gigabyte Brix i7 5775r (NUC)

Discussion in ‘Desktop Computer Classifieds‘ started by denniswaugh, Feb 11, 2019.

  1. denniswaugh

    denniswaugh

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    Gigabyte Brix i7 5775r. Same size as NUC

    Barebones only. No ram or HDD/SSD

    Quad core i7 5775r cpu

    In excellent and very clean condition.

    Light usage as my Roon music server (Rock OS).

    Boxed.

    £280 inc UK postage

    GB-BXi7-5775 (rev. 1.0) | Mini-PC Barebone (BRIX) – GIGABYTE U.S.A.

    Selling because I’m now using a Nuc8i5 in a Akasa Plato (fanless) case for Roon.

    Price and currency: £280
    Delivery: Delivery cost is included within my country
    Payment method: Cash, PayPal gift, BT
    Location: northampton
    Advertised elsewhere?: Not advertised elsewhere
    Prefer goods collected?: I have no preference

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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

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    Last edited: Feb 15, 2019

  2. denniswaugh

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    Price reduced

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    Any trades?
    I have the mobo, cpu and ram in the signature which I would like to swap for this if you are interested.

    So this: i5 4690k // Asus Z97 Gamer Pro Mobo // Corsair Vengence 16 GB

  4. denniswaugh

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    Sorry, no trades

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    ok np, GLWS
    I have put this kit up for sale – when It does I might be back with an offer.

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