Tag Archives: Build

Wanted – HPTX-capable case

Interested in doing a bit of a project for a future build, and looking for a large HPTX compatible case to use as a base – Midi tower eg. Lian Li PC-90, full tower eg. Lian Li PC-A75 or dual width/cube eg. Lian Li D series would all be considered.

Doesn’t have to be a Lian Li but these are good examples of the sizes I’m looking for.

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For Sale – Gaming PC; i7 9700k 8 Cores, RXT2060, 32GB Ram, 1TB M.2 SSD,

Hi all

For sale, I have my newly build, beast of a gaming PC.

Just found that I don’t game on it!

Specification:

  • Intel Core i7 9700K 3.6GHz Octa Core
  • Corsair Vengeance LPX 32GB (2x 16GB) 2666MHz DDR4
  • MSI GeForce RTX 2060 Ventus 6GB Graphics Card
  • Samsung 970 EVO Plus 1TB M.2-2280 NVMe PCIe SSD
  • Gigabyte Z390 AORUS PRO WIFI Intel Socket 1151
  • Pioneer BDR-211EBK Blu-ray Writer Optical Drive
  • Corsair Obsidian 750D Full Tower Case – Black
  • EVGA 750 GQ 750W Modular 80+ Gold PSU
  • BeQuiet! Pure Rock Slim CPU Cooler
  • Microsoft Windows 10 Home – 64-Bit DVD (OEM)

Beautiful machine, runs like a dream…seriously, everything is instant! Runs Doom on full settings, no problem. In fact, any games I’ve tried runs perfectly on the highest settings.

Also comes with warranty. Build by the good folks at CCL Computers.

Cost me £1800 just a few months ago. Sad to see it go…asking for £1500. Not looking to split, sorry.

Pictures don’t do it justice, I’m happy to provide more.

I think collection is appropriate, could meet half way from Sheffield.

Thanks for looking.

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For Sale – Gaming PC; i7 9700k 8 Cores, RXT2060, 32GB Ram, 1TB M.2 SSD,

Hi all

For sale, I have my newly build, beast of a gaming PC.

Just found that I don’t game on it!

Specification:

  • Intel Core i7 9700K 3.6GHz Octa Core
  • Corsair Vengeance LPX 32GB (2x 16GB) 2666MHz DDR4
  • MSI GeForce RTX 2060 Ventus 6GB Graphics Card
  • Samsung 970 EVO Plus 1TB M.2-2280 NVMe PCIe SSD
  • Gigabyte Z390 AORUS PRO WIFI Intel Socket 1151
  • Pioneer BDR-211EBK Blu-ray Writer Optical Drive
  • Corsair Obsidian 750D Full Tower Case – Black
  • EVGA 750 GQ 750W Modular 80+ Gold PSU
  • BeQuiet! Pure Rock Slim CPU Cooler
  • Microsoft Windows 10 Home – 64-Bit DVD (OEM)

Beautiful machine, runs like a dream…seriously, everything is instant! Runs Doom on full settings, no problem. In fact, any games I’ve tried runs perfectly on the highest settings.

Also comes with warranty. Build by the good folks at CCL Computers.

Cost me £1800 just a few months ago. Sad to see it go…asking for £1500. Not looking to split, sorry.

Pictures don’t do it justice, I’m happy to provide more.

I think collection is appropriate, could meet half way from Sheffield.

Thanks for looking.

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Author:

For Sale – Gaming PC; i7 9700k 8 Cores, RXT2060, 32GB Ram, 1TB M.2 SSD,

Hi all

For sale, I have my newly build, beast of a gaming PC.

Just found that I don’t game on it!

Specification:

  • Intel Core i7 9700K 3.6GHz Octa Core
  • Corsair Vengeance LPX 32GB (2x 16GB) 2666MHz DDR4
  • MSI GeForce RTX 2060 Ventus 6GB Graphics Card
  • Samsung 970 EVO Plus 1TB M.2-2280 NVMe PCIe SSD
  • Gigabyte Z390 AORUS PRO WIFI Intel Socket 1151
  • Pioneer BDR-211EBK Blu-ray Writer Optical Drive
  • Corsair Obsidian 750D Full Tower Case – Black
  • EVGA 750 GQ 750W Modular 80+ Gold PSU
  • BeQuiet! Pure Rock Slim CPU Cooler
  • Microsoft Windows 10 Home – 64-Bit DVD (OEM)

Beautiful machine, runs like a dream…seriously, everything is instant! Runs Doom on full settings, no problem. In fact, any games I’ve tried runs perfectly on the highest settings.

Also comes with warranty. Build by the good folks at CCL Computers.

Cost me £1800 just a few months ago. Sad to see it go…asking for £1500. Not looking to split, sorry.

Pictures don’t do it justice, I’m happy to provide more.

I think collection is appropriate, could meet half way from Sheffield.

Thanks for looking.

Go to Original Article
Author:

For Sale – Gaming PC; i7 9700k 8 Cores, RXT2060, 32GB Ram, 1TB M.2 SSD,

Hi all

For sale, I have my newly build, beast of a gaming PC.

Just found that I don’t game on it!

Specification:

  • Intel Core i7 9700K 3.6GHz Octa Core
  • Corsair Vengeance LPX 32GB (2x 16GB) 2666MHz DDR4
  • MSI GeForce RTX 2060 Ventus 6GB Graphics Card
  • Samsung 970 EVO Plus 1TB M.2-2280 NVMe PCIe SSD
  • Gigabyte Z390 AORUS PRO WIFI Intel Socket 1151
  • Pioneer BDR-211EBK Blu-ray Writer Optical Drive
  • Corsair Obsidian 750D Full Tower Case – Black
  • EVGA 750 GQ 750W Modular 80+ Gold PSU
  • BeQuiet! Pure Rock Slim CPU Cooler
  • Microsoft Windows 10 Home – 64-Bit DVD (OEM)

Beautiful machine, runs like a dream…seriously, everything is instant! Runs Doom on full settings, no problem. In fact, any games I’ve tried runs perfectly on the highest settings.

Also comes with warranty. Build by the good folks at CCL Computers.

Cost me £1800 just a few months ago. Sad to see it go…asking for £1500. Not looking to split, sorry.

Pictures don’t do it justice, I’m happy to provide more.

I think collection is appropriate, could meet half way from Sheffield.

Thanks for looking.

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Author:

Built by Garage Interns, find the best movie, powered by the Microsoft Recommenders collection – Microsoft Garage

Challenged with rethinking how to build a movie recommendation experience, a team of Garage interns based out of Cambridge, MA created a sample app and corresponding documentation that shows how to use recommendation algorithms in an app experience. Today, we’re excited to share their project ahead of its debut at the RecSys’19 conference next week: Recommenders Engine Experience Layout, a Microsoft Garage project. This work joins a collection of best practices and tools for recommendation engines available on a larger Recommenders GitHub. Explore both on the Recommenders GitHub repository and Recommenders Engine Example Layout GitHub repository respectively.

Bringing recommendation tools to apps

Recommender Engine Example Layout Screenshot 1Recommenders Engine Example Layout, focuses on recommendation algorithm experiences that take place in apps and provides a detailed breakdown of how developers can leverage the work by the sponsoring team. The Azure AI Customer Advisory Team, or AzureCAT AI works with such customers as ASOS to incorporate enhanced recommenders algorithms into their solutions. The team was inspired to partner with a team of Garage interns upon continued feedback that expanding on their popular Recommenders repository with a focus on apps would be helpful to customers who already have an app infrastructure.

“The key thing we wanted to demonstrate out of this was showing the recommenders we have, in a real-world setting that’s relevant to apps,” shares Scott Graham the Senior Data Scientist on Azure AI CAT who oversaw the project.”Often when we work with customers, they already have complex infrastructure and want to see how they can incorporate these algorithms into an app. This was a great opportunity to illustrate and document this.”

The Garage project documents how to build a sample app powered by the Recommenders algorithms, featuring the MovieLens dataset, one of the largest open source collections of movie ratings. Put by Bruce Gatete, Program Manager Intern for the project. “It provides an end-to-end demonstration of how developers can build fully function cross-platform applications that use these algorithms.”

Recommender Engine Example Layout Team photoSample app key features

The sample app developers can build includes a wide variety of features, including:

  • Browse a large dataset of movies
  • Select and view movie descriptions
  • Create your own personalized favorites list
  • Switch between different recommender algorithms
  • Switch between pre-generated personas or create your own

The Azure AI CAT team also has a continuous goal to accelerate the speed with which they’re able to partner with customers on this solution. Scott continues, “This was a great proof point that we could do this in the space of a summer timeframe: can we use these algorithms to quickly putt together an app? And we did!”

In addition to trying this project, developers can explore the original Recommenders repository which has recommendation algorithm tools and best practices such as a popular deep dive into the SAR model or an example of deploying these models in a production setting.

Built using Xamarin.Forms

The Recommenders Engine app is built using Xamarin.Forms and supports iOS, Android, and UWP platforms. “It was really great leveraging Xamarin Forms to be able to deploy this across all these platforms so quickly. I was really impressed with the speed of that coming together,” shared Scott Graham, who oversaw the project from the sponsoring team.

Try it Out

Recommenders Engine Example Layout and the Recommenders collection are available on GitHub worldwide. Try them out, create your own apps and experiences, and share feedback to the team.

Become a Garage Intern. We’re hiring

The Garage is hiring for the 2020 Winter & Summer seasons! Here you can learn more details about the internship and how to apply.

Why become a Garage intern? The Garage opens doors to interesting and challenging projects and collaborative partners. Michelle shares her favorite part about the internship “I enjoyed getting to know my team very well over the summer–there’s an incredible amount of talent on our team, and it’s awesome getting to work with a team of people my age and truly have a say in the design and final result of our product.”

Check out past Garage internship projects such as: Seeing AI, Web TS, Ink to Code, or Earth Lens.

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Author: Microsoft News Center

Iran says it’s building an AI supercomputer, despite sanctions

Iran says it is planning to build an AI supercomputer and will have it in operation sometime next year. It will have to work around U.S. sanctions to get the tech it needs, but it has succeeded in doing so in the past. 

The news came in a tweet last weekend by Mohammad-Javad Azari Jahromi, Iran’s minister of information and communication technology. It was in Persian, but translated by Google, Jahromi said the new supercomputer, “is due to launch next year: 100 times more powerful than previous ones, great!”

This supercomputer, wrote Jahromi, “will serve people to support businesses with the goal of developing artificial intelligence.” The system is named “Simorgh” after a mythical bird.

Translated from Persian by Google:

The Simorgh Iranian supercomputer is due to launch next year: 100 times more powerful than previous ones, great! This supercomputer will serve people to support businesses with the goal of developing artificial intelligence. Thousands of happy young and creative creators. Thanks guys!

Iran isn’t doing anything different from other nations in building a system designed for AI data intensive workloads. Take France, for instance. It is building a supercomputer to accelerate development of its AI industries. The French system, due in October, may rank on the Top500 list as one of the 20 most powerful supercomputers in the world. Since 1993, the Top500 list has ranked the world’s 500 most powerful supercomputers twice a year.

However, the difference between France and Iran in how the systems are built is considerable. Hewlett Packard Enterprise is building the French system. Iran, if it wants U.S. processors, may have to work through the black market because of U.S. sanctions.

Trade restrictions have not prevented Iran from acquiring what it needs. In 2007, for instance, Iran’s Amirkabir University of Technology announced it had assembled a Linux-based system using 216 AMD Opteron cores. It even published photographs, since removed, of the system under assembly. Iran has announced supercomputer efforts in 2011 and 2014. It’s unclear what Jahromi is benchmarking against when he characterized the forthcoming system as “100 times more powerful.”

HPC is ideal for AI development

HPC systems are seeing increased use for AI development because they “are very adept at handling massive volumes of data,” said Steve Conway, senior vice president of research at Hyperion Research.

HPC systems use advanced parallel processing, have more internal storage and memory technologies, and can move data around much faster than standard enterprise servers, Conway said. “All of that contributes to being able to solve problems not only much more quickly, but handle bigger problems all together,” he said.

Hyperion recently surveyed 54 thought leaders in HPC on the “importance of HPC for advancing AI.” Nearly 90% said it was “extremely important.”

Although Iran can use non-U.S. chips, such as China’s homegrown processors, Conway suspects it will want U.S. tech. “Chinese chips are certainly capable, but there is not a ton of software yet written for them,” he said.

Iran has never had a system on the Top500 list, and there’s no apparent independent verification of its capabilities. But Iran has clear scientific and engineering capability. In 2016, it ranked 15th globally in a National Science Foundation report that looked at scientific and engineering articles published in peer-reviewed journals, books and conference proceedings in all fields by country. That said, the rankings, overall, are an imprecise measure because they don’t consider the quality of the work. 

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IoT Plug and Play is now available in preview

Today we are announcing that IoT Plug and Play is now available in preview! At Microsoft Build in May 2019, we announced IoT Plug and Play and described how it will work seamlessly with IoT Central. We demonstrated how IoT Plug and Play simplifies device integration by enabling solution developers to connect and interact with IoT devices using device capability models defined with the Digital Twin definition language. We also announced a set of partners who have launched devices and solutions that are IoT Plug and Play enabled. You can find their IoT Plug and Play certified devices at the Azure Certified for IoT device catalog.

With today’s announcement, solution developers can start using Azure IoT Central or Azure IoT Hub to build solutions that integrate seamlessly with IoT devices enabled with IoT Plug and Play. We have also launched a new Azure Certified for IoT portal, for device partners interested to streamline the device certification submission process and get devices into the Azure IoT device catalog quickly.

This article outlines how solution developers can use IoT Plug and Play devices in their IoT solutions, and how device partners can build and certify their products to be listed in the catalog.

Faster device integration for solution developers

Azure IoT Central is a fully managed IoT Software as a Service (SaaS) offering that makes it easy to connect, monitor, and manage your IoT devices and products. Azure IoT Central simplifies the initial setup of your IoT solution and cuts the management burden, operational costs, and overhead of a typical IoT project. Azure IoT Central integration with IoT Plug and Play takes this one step further by allowing solution developers to integrate devices without writing any embedded code. IoT solution developers can choose devices from a large set of IoT Plug and Play certified devices to quickly build and customize their IoT solutions end-to-end. Solution developers can start with a certified device from the device catalog and customize the experience for the device, such as editing display names or units. Solution developers can also add dashboards for solution operators to visualize the data; as part of this new release, developers have a broader set of visualizations to choose from. There is also the option to auto generate dashboards and visualizations to get up and running quickly. Once the dashboard and visualizations are created, solution developers can run simulations based on real models from the device catalog. Developers can also integrate with the commands and properties exposed by IoT Plug and Play capability models to enable operators to effectively manage their device fleets. IoT Central will automatically load the capability model of any certified device, enabling a true Plug and Play experience!

Another option available for developers who’d like more customization is to build IoT solutions with Azure IoT Hub and IoT Plug and Play devices. With today’s release, Azure IoT Hub now supports RESTful digital twin APIs that expose the capabilities of IoT Plug and Play device capability models and interfaces. Developers can set properties to configure settings like alarm thresholds, send commands for operations such as resetting a device, route telemetry, and query which devices support a specific interface. The most convenient way is to use the Azure IoT SDK for Node.js (other languages are coming soon). And all devices enabled for IoT Plug and Play in the Azure Certified for IoT device catalog will work with IoT Hub just like they work with IoT Central.

An image of the certified device browsing page.

Streamlined certification process for device partners

The Azure Certified for IoT device catalog allows customers to quickly find the right Azure IoT certified device to quickly start building IoT solutions. To help our device partners certify their products as IoT Plug and Play compatible, we have revamped and streamlined the Azure Certified for IoT program by launching a new portal and submission process. With the Azure Certified for IoT portal, device partners can define new products to be listed in the Azure Certified for IoT device catalog and specify product details such as physical dimensions, description, and geo availability. Device partners can manage their IoT Plug and Play models in their company model repository, which limits access to only their own employees and select partners, as well as the public model repository. The portal also allows device partners to certify their products by submitting to an automated validation process that verifies correct implementation of the Digital Twin definition language and required interfaces implementation.

An image of the device page for the MXChip-Certified.

Device partners will also benefit from investments in developer tooling to support IoT Plug and Play. The Azure IoT Device Workbench extension for VS Code adds IntelliSense for easy authoring of IoT Play and Play device models. It also enables code generation to create C device code that implements the IoT Plug and Play model and provides the logic to connect to IoT Central, without customers having to worry about provisioning or integration with IoT Device SDKs.

The new tooling capabilities also integrates with the model repository service for seamless publishing of device models. In addition to the Azure IoT Device Workbench, device developers can use tools like the Azure IoT explorer and the Azure IoT extension for Azure Command-line Interface. Device code can be developed with the Azure IoT SDK for C and for Node.js.

An image of the Azure IoT explorer.

Connect sensors on Windows and Linux gateways to Azure

If you are using a Windows or Linux gateway device and you have sensors that are already connected to the gateway, then you can make these sensors available to Azure by simply editing a JSON configuration. We call this technology the IoT Plug and Play bridge. The bridge allows sensors on Windows and Linux to just work with Azure by bridging these sensors from the IoT gateway to IoT Central or IoT Hub. On the IoT gateway device, the sensor bridge leverages OS APIs and OS plug and play capabilities to connect to downstream sensors and uses the IoT Plug and Play APIs to communicate with IoT Central and IoT Hub on Azure. A solution builder can easily select from sensors enumerated on the IoT device and register them in IoT Central or IoT Hub. Once available in Azure, the sensors can be remotely accessed and managed. We have native support for Modbus and a simple serial protocol for managing and obtaining sensor data from MCUs or embedded devices and we are continuing to add native support for other protocols like MQTT. On Windows, we also support cameras, and general device health monitoring for any device the OS can recognize (such as USB peripherals). You can extend the bridge with your own adapters to talk to other types of devices (such as I2C/SPI), and we are working on adding support for more sensors and protocols (such as HID).

Next steps

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Author: Microsoft News Center

For Sale – gaming pc with gtx1080 GPU

I am selling my desktop gaming pc.

decided to go for a mini build so this is for sale.

GeForce® GTX 1080 G1 Gaming 8G |

i5 3570k CPU

z77 extreme4 MB

ASRock > Z77 Extreme4

650W PSU anteck

8 GB ram

120 SSD OS drive

will split

£135 for processor and MB
£275 for GPU

no windows as i transferred the license to my new PC. You can either run it without licence or pick up cheap £5 ebay windows code etc

Price and currency: 475
Delivery: Delivery cost is not included
Payment method: BT or paypal gift
Location: aberdare
Advertised elsewhere?: Advertised elsewhere
Prefer goods collected?: I prefer the goods to be collected

______________________________________________________
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.

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Crazy about chocolate, serious about people: meet the Dutch chocolate company that dared to be different – Microsoft News Centre Europe

Now, staff can build annual reports with Teams, easily sharing multiple source documents while knowing that team members are always working with the most current versions. As with every other aspect of work life for Tony’s employees, that strategy is carefully aligned with company values. “We use the chat feature in Teams to build the personal relationships we want to encourage,” says Ursem. “Email is more formal, more time-consuming. Chat lends itself to the shared humor and quick check-ins that naturally fit our culture and make us more efficient.”

With Teams, Tony’s team members have an informal, easy way to collaborate on projects with each other and with suppliers by using Teams Rooms. For IT Manager Rick van Doorn, otherwise known as Chocomatic Fanatic, nurturing spirit drives key decisions made by company leadership. “We say that our team comes first,” he explains. “Without the team, there is no company. And keeping that team collaborating optimally is vitally important to everything we do.”

Since implementing Teams, the company has averaged a 10 to 15 percent decrease in its total email volume. Ursem and van Doorn point out that this is happening despite steady company growth. “We’re pushing communication to the channels where it can happen most effectively,” says van Doorn.

A new world of work
The company focuses intently on messaging, both internally and externally. Even the design of its chocolate bars has a message – each bar is divided into unequal pieces, to mirror the inequalities in traditional profit sharing.

Internally, employees mix up workspaces every six months, sharing space with colleagues from different departments to build stronger team relations. That dedication to cultivating teamwork led the company to experiment with various apps purported to propel teamwork forward.

One of the biggest successes to come out of this experimentation was consolidating telephony with Office 365 in April 2019. As a result, employees can now access the company landline through Teams with the Vodafone Calling in Office 365 solution. For customer contact, Teams is extended with the Anywhere365 Contact Center. Because the solution interoperates with Salesforce, incoming calls can be logged in the company’s customer relationship management system for inclusion in the customer database.

“Using Teams with Vodafone Calling in Microsoft Office 365 amplifies the personal and transparent approach we’re known for,” says van Doorn. “We can talk to our chocofans with full knowledge of their prior backgrounds, orders, and feedback.” Incoming calls automatically route to the best person to handle the call, no matter where that person is, and contact information is included for the convenience of the person receiving the call.

A future in the cloud
Ten years ago, the company migrated to the cloud. “We were growing rapidly and needed to be scalable,” recalls van Doorn. “And we also looked at the growing number of relationships we were managing—both customers and suppliers, plus our rapidly expanding staff. We felt that committing to a complicated IT landscape in terms of connections, interfaces, and equipment would have been a risk.”

Cross-functional collaboration also underpins daily and strategic operations at Tony’s Chocolonely. Teamwork fans out from internal teams to a swath of partners that support different aspects of operations, including web developers, product wrapper suppliers, retail stores, and many more.

The company is so committed in fact, that its suppliers also now collaborate in Teams. “We’ve implemented the entire Microsoft 365 suite,” van Doorn. “All of our data is on SharePoint. With this modern working platform, we can easily collaborate with our partners, suppliers, and with each other.” The company also hopes to reduce business travel expenses by 10 percent now that so much collaboration takes place in the cloud.

For the people behind the Tony’s Chocolonely brand, it comes down to relationships. “By growing long-term relationships and paying a higher price—above the market price plus the Fairtrade Premium—to West African farmers, we’re trying to create an equal partnership,” says Ursem. “And if we’re performing well, other companies will be inspired to shoulder this responsibility, too.”

For more information, please visit the Microsoft Customer Stories blog.

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Author: Microsoft News Center