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Informatica launches blueprints for developing generative AI

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Informatica launches blueprints for developing generative AI

Informatica launched Generative AI Blueprints, a set of guidelines and features designed to speed and simplify developing generative AI tools on six prominent cloud-based data management platforms.

The blueprints, available at no cost in Informatica’s Architecture and were released on Oct. 24, enable customers to use the vendor’s Intelligence Data Management Cloud (IDMC) platform in concert with AWS, Databricks, Google Cloud, Microsoft Azure, Oracle Cloud Infrastructure and Snowflake to develop generative AI capabilities.

Key features of the blueprints include vector database and language model connectors, prebuilt no-code data integration recipes, data quality and master data management capabilities and standard reference architectures to guide developers as they build new tools.

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Given that enterprise interest in developing generative AI models and applications has exploded over the past two years yet the actual building of such tools is complicated, Informatica’s launch of Generative AI Blueprints will be useful for the vendor’s customers, according to Kevin Petrie, an analyst at BARC U.S.

“Data and AI teams struggle to integrate the many elements of a GenAI architecture, from data sources to pipelines to [retrieval-augmented generation] workflows and the applications that contain language models,” he said. “The more you can simplify this architecture, the better you can reduce risk to determine the value of pilots and limited production deployments.”

Beyond being assistive to customers, the launch of Generative AI Blueprints also represents Informatica capitalizing on an opportunity, Petrie continued.

BARC’s research shows that more than 80% of enterprises are likely or extremely likely to work with vendors when developing AI initiatives. In addition, more than half are likely or extremely likely to engage a global consulting firm.

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“As incumbent providers in many environments, Informatica and its consulting partners recognize this opportunity and aim to capitalize on it,” Petrie said.

Based in Redwood City, Calif., Informatica is a data management vendor whose IDMC is designed to enable its users to integrate and prepare data for analysis and AI development.

Earlier this month, the vendor’s most recent platform update featured capabilities aimed at enabling customers to prepare their data for developing AI models and applications. Generative AI Blueprints builds on that by providing users with the next steps to take that data and use it to build models and applications.

New capabilities

Generative AI is being termed a transformative technology, akin to the smartphone 15 years ago, the internet in the 1990s, the personal computer in the 1980s and the telephone a century ago. Generative AI has existed for years, but OpenAI’s November 2022 launch of ChatGPT was a significant advancement in its capabilities and ease of use that led to surging interest.

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Two of its primary benefits are true natural language processing that enables non-technical workers to use complex tools that previously required coding knowledge and other extensive training as well as making technical experts more efficient by automating time-consuming repetitive tasks.

As a result, many enterprises are developing — or at least preparing to develop — generative AI tools.

At their core is data, which is needed to train models and applications to understand an enterprise’s operations. In response, many data management and analytics vendors including Informatica are developing generative AI-powered tools such as conversational assistants to help customers use their platform. In addition, they are creating ecosystems for those customers to develop their own generative AI capabilities trained on their proprietary data.

For example, data platform vendors Databricks and Snowflake each are building up environments for their users to develop generative AI capabilities as are tech giants AWS, Google, Microsoft and Oracle.

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However, developing generative AI — as well as traditional AI and machine learning — models and applications is difficult. It requires significant data preparation to ensure the quality of the data used to train generative AI tools, integrations with language models that provide the generative AI itself and the creation of complex pipelines that ultimately feed models and applications the data that trains them.

It’s estimated that over 80% of all AI projects never make it into production. And in July, research and advisory firm Gartner predicted that 30% of generative AI projects will be abandoned as soon as the end of 2025.

Informatica’s Generative AI Blueprints are designed to assist enterprise customers by simplifying the complex development process, providing them with not only needed tools but also expert advice.

Rik Tamm-Daniels, Informatica’s global vice president of strategic ecosystems and technology, noted that as enterprises attempt to develop generative AI tools, even knowing where to start can be a challenge. Generative AI Blueprints lay out the steps for them.

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“[Two-thirds] of tech leaders expect their organization to invest more in AI over the next three years, so finding an efficient and effective implementation process is crucial,” he said. “Successfully implementing AI requires a robust framework to ensure that an enterprise’s data is ready.”

A mix of customer feedback and internal conversations among product teams led to the development of the blueprints, Tamm-Daniels continued.

“We realized that we could support the deployment and scaling of enterprise-grade GenAI applications by creating an easy-to-follow template that provides organization-specific end-to-end solutions,” he said.

Organizations, meanwhile, are seeking support as they attempt to build generative AI tools, according to Stephen Catanzano, an analyst at TechTarget’s Enterprise Strategy Group. Some are having early success. Many others, however, have plans to build generative AI tools but aren’t yet able.

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As a result, Informatica’s Generative AI Blueprints address a real need.

“Organizations are looking for leadership from their technology partners on how to leverage their enterprise data to build contextual generative AI application leveraging their preferred cloud partners,” Catanzano said. “These blueprints are what organizations need to navigate this complex and ever-changing AI landscape.”

Specific features included in Informatica’s Generative AI Blueprints include the following:

  • Standard reference architectures that instruct customers how to develop a generative AI model or application and pre-defined configurations that simplify the actual construction of those models and applications.
  • Prebuilt no-code frameworks for using the IDMC’s integration and orchestration capabilities on AWS, Azure, Google and Oracle.
  • Connectors to the language models and vector databases needed as part of the development and training pipeline.
  • Data quality and master data management capabilities to help customers ensure the relevancy and quality of the data they use to train and inform generative AI tools.
  • Metadata and data governance to further improve the quality and relevancy of data underpinning generative AI models and applications.
  • Policy and security enforcement capabilities to address responsible development of AI tools by making sure the data included in prompts responds appropriately and securely.
  • A design interface that enables users to scale usage of high throughput/low latency serverless runtime when needed to integrate retrieval-augmented generation pipelines and other high volume workloads.

Combined, the features comprising Informatica’s Generative AI Blueprints are thorough, according to Catanzano.

“They look very comprehensive,” he said, noting that the different capabilities address everything from identifying a use case for AI through cultivating trusted data and vectorizing the data to make it discoverable by AI-powered automation tools, to choosing an LLM with which to use data and building the retrieval-augmented generation pipeline that feeds the model or application.

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“It shows how important an ecosystem is for Informatica and their partners to work together,” Catanzano said. “It’s very comprehensive when you leverage all of the partners in their Blueprints.”

Petrie similarly noted that Informatica’s Generative AI Blueprints effectively address data preparation and pipeline development.

“These blueprints can help enterprises prepare, validate and deliver data for AI, especially structured tables that often contain enterprises’ most trustworthy data,” he said.

Looking ahead

Informatica’s recent platform update focused on preparing data for AI development and the launch of Generative AI Blueprints continue more than of year making AI a focal point of product development. That will continue, according to Tamm-Daniels.

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Like many analytics and data management vendors, Informatica understood the potential of generative AI and the ways it could use the technology to develop tools to help its customers. In addition, it understood that enterprises would want to develop their own generative AI capabilities and unveiled features aimed at assisting them in that pursuit.

For example, in May 2023, Informatica unveiled plans to infuse Claire, its AI engine, with generative AI. Similarly, competitors including Alteryx and Fivetran have made AI part of their product development.

“We will continue to focus on strengthening and enhancing our GenAI roadmap and solutions as more and more enterprises look to Informatica to solve their data management problems,” Tamm-Daniels said.

One way Informatica could strengthen its Generative AI Blueprints would be to add connectors to graph databases in addition to the connectors to vector databases that are already included, according to Petrie.

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Just as vector search and storage can aid generative AI development by enabling developers to discover relevant data, graph technology can similarly help the data discovery process.

“I see much less focus on graph elements in these architectures,” Petrie said. “Knowledge graphs matter because they … help GenAI language models understand how concepts and business entities relate to one another. I’ll be interested to see how Informatica addresses this requirement in coming releases.”

Catanzano, meanwhile, suggested that Informatica build on Generative AI Blueprints by providing even more guidance to its customers. Providing tools for development is essential. But so is guiding enterprises through the use of those tools to get their desired results.

“Continuing thought leadership in this area is important,” Catanzano said. “Everyone is still trying to figure it out and they need their tech partners to help guide them.”

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Eric Avidon is a senior news writer for TechTarget Editorial and a journalist with more than 25 years of experience. He covers analytics and data management.

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Apple reportedly tests an app to manage blood sugar

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Apple reportedly tests an app to manage blood sugar

Apple has long been rumored to be working on noninvasive blood glucose monitoring. Now, a Bloomberg report says the company tested an app that helps people with prediabetes better manage their condition.

Citing anonymous Apple sources, Bloomberg notes the app required Apple employees to validate they were prediabetic via a blood test. Employees then monitored their blood sugar using “various devices available on the market” and logged changes related to what food they were eating.

Prediabetes is a metabolic condition when blood sugar levels are higher than normal, and increases a person’s risk of developing Type 2 diabetes. And while there is no cure for diabetes, prediabetes can be reversed through diet and exercise interventions. The idea for an app like this would be to show people how different choices can impact blood sugar levels. For example, a carb-heavy meal might spike blood sugar, but pairing the same meal with protein can blunt the spike.

The report notes that the app was intended to investigate what tools Apple could develop using blood sugar data. However, Bloomberg also says that Apple has since paused work on the app to focus on other health features. Even so, it’s possible that Apple will use its findings in future health tech offerings.

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Dexcom’s Stelo OTC CGM is geared toward prediabetics and Type 2 diabetics who don’t use insulin.
Photo by Amelia Holowaty Krales / The Verge

On a larger scale, metabolic health tracking is a burgeoning wearable trend. Earlier this year, Dexcom and Abbott both released over-the-counter CGMs that were aimed at prediabetic, non-diabetics, and Type 2 diabetics who don’t use insulin. There are also continuous glucose monitor (CGM) startups, like Nutrisense and Levels, that use CGM data to help people lose weight, fuel for endurance sports, or learn about how certain foods impact their blood sugar levels.

Given all that, it’s not surprising to hear Apple is interested in exploring this area. For starters, it’s largely shied away from native food logging while also increasing third-party CGM integrations. Apple itself has reportedly spent roughly 15 years tinkering on how to noninvasively monitor blood glucose, though that project is still likely years away from completion.

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Believe the hype: Qualcomm’s Snapdragon 8 Elite will change everything about smartphones

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Snapdragon sign and logo in an infinity pool with Hawaiian sunset behind

Can you get excited about a microchip? If you’ve never chosen your phone based on the chip inside, that may be worth considering when Snapdragon 8 Elite phones start to arrive. Qualcomm is doing for the next generation of smartphones what it recently did for Windows laptops, and phones that realize its vision will be different from anything we’ve seen before.

Last year, Qualcomm launched the Snapdragon X Elite chipset, a powerful processor that uses the sort of low-power cores normally found in smartphones. The obvious benefit is incredible battery life, since mobile processors are made to sip juice, not gulp. That benefit is now coming to smartphones, and I’m expecting great battery life gains in the next generation. All-day battery life is going to be the rule, not a rarity.

With the Snapdragon X Elite, Qualcomm created an incredibly powerful new chipset that includes its Oryon processing core. The X Elite is truly supercharged. The result was the fastest Windows laptops you could buy, and the first Windows laptops in years that could outperform a premium MacBook Pro.

Qualcomm Snapdragon Summit keynote presentation with Cristiano Amon

Qualcomm CEO Cristiano Amon introduces the Snapdragon 8 Elite (Image credit: Philip Berne / Future)

This year, Qualcomm flew TechRadar to Maui for its Snapdragon Summit, and to check out the Snapdragon 8 Elite chipset, which brings that Oryon core to smartphones. After all the speeches and bluster, I got to actually put the chips to work. Qualcomm provided a reference sample phone for benchmark comparisons – and the results completely blew me away.

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I’m not usually a benchmark guy, but… wow!

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Microsoft boss gets 63% pay rise despite asking for reduction

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Microsoft boss gets 63% pay rise despite asking for reduction

Microsoft’s chief executive Satya Nadella earned $79.1m (£61m) last year, a rise of 63% compared to his compensation the year before.

That was despite a request from Mr Nadella to reduce one element of his pay package because of cybersecurity flaws at the tech giant – which resulted in him getting $5m less than he otherwise would have.

In common with many tech firms, Microsoft has cut thousands of jobs this year, including many in its gaming division.

But in a proxy statement filed with the US financial regulator, the board said the company’s revenue grew by 16% in the year to 30 June 2024.

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“Mr. Nadella agreed that the Company’s performance was extremely strong,” Microsoft’s compensation committee wrote in a letter to shareholders.

It added he asked them “to consider departing from the established performance metrics and reduce his cash incentive to reflect his personal accountability” over a number of cyber attacks.

One such attack was reported in July 2023 by Microsoft, where hackers gained access to the email accounts of around 25 organisations, including government agencies.

Microsoft said the attack originated in China, though the Chinese embassy in London called this “disinformation”.

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The fiscal period runs up to 30 June 2024 – just weeks before the massive internet outage which affected Microsoft Windows PCs, causing chaos around the world.

While that was not a cyber attack, later in July Microsoft apologised for another outage which was caused by a cyber attack.

The compensation committee said it reduced Mr Nadella’s cash pay by more than half, to $5.2m.

That represents less than 7% of his total pay.

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The bulk of his pay, $71.2m, was made up of stock options.

High Pay Centre director Luke Hildyard said “superficially” the earnings made sense given Microsoft’s strong financial performance.

“However, we might also ask whether the extra $79 million on top of $49 million last year for someone who is already worth hundreds of millions, with more money than they could spent over multiple lifetimes of absolute luxury, is really necessary as a reward of incentive,” he told the BBC.

“None of Microsoft’s success would be possible without workers, customers and wider society so perhaps the proceeds of that success should be share a little more evenly,” he added.

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Elsewhere in big tech, Apple boss Tim Cook earned $63.2m in 2023, while the chief executive of the world’s most valuable company Nvidia, Jensen Huang, was paid $34.2m in the 2024 fiscal year.

But none of them come close to Tesla boss Elon Musk, whose pay packet could be worth up to $56bn.

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Why Elon Musk’s SpaceX Crew Dragon was chosen to handle the return of Sunita Williams from ISS- The Week

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Why Elon Musk's SpaceX Crew Dragon was chosen to handle the return of Sunita Williams from ISS- The Week

Eighty days since they took off from Cape Canaveral Space Force Station in Florida onboard Boeing’s Starliner mission, astronauts Suni Williams and Butch Wilmore will have to remain on the International Space Station (ISS) till February 2025. Their return journey to Earth ran into trouble because of issues plaguing the Boeing Starliner spacecraft. 

With the Starliner suffering setbacks with helium leaks and thrusters, NASA on Saturday deemed it was too risky to bring the two astronauts back in the capsule. Instead, the space agency decided to turn to Elon Musk’s SpaceX’s workhorse Crew Dragon spacecraft. 

NASA administrator Bill Nelson said NASA considered its extensive experience with spaceflight — both successful and unsuccessful — when they decided to opt for SpaceX. The agency also held a poll of its representatives from across its departments and oversight and development centres. He added that NASA lost two space shuttles “as a result of there not being a culture in which information could come forward.”  

“Spaceflight is risky, even at its safest and even at its most routine. And a test flight, by nature, is neither safe, nor routine,” he said. 

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The starliner will fly home empty in early September.

SpaceX, which has been conducting astronauts to the ISS since 2020, has a routine mission scheduled in September, called Crew-9. This will now have to be reconfigured to carry Williams and Wilmore. It will have to scrap the initial plan to send a four-person crew and leave two seats for the duo. New Dragon spacesuits for the astronauts, along with other necessary supplies, will be brought to the station in the coming months. SpaceX will work with NASA to decide which astronauts will not fly to the ISS on Crew-9.

It was during 2020 that SpaceX’s Crew Dragon completed its first crewed test flight, thereby earning certification from NASA. The successful flights of SpaceX’s workhorse. 

Over the last four years, it has carried a dozen crews to and from the ISS. 

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SpaceX president and chief operating officer Gwynne Shotwell has shared that her company is ready to work with NASA to bring back astronauts Butch Wilmore and Suni Williams on the Crew Dragon spacecraft.

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Best student laptop deals: Laptops for college from $200

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Best student laptop deals: Laptops for college from $200

If you’re going to university or school, then you’ll probably want to aim for some solid budget laptops that are also pretty portable. Luckily, there are a lot of great options out there, and while you could absolutely aim for some of the best laptops on the market, you’re better off going for something that fits your needs and your budget. For example, there are a lot of great Chromebook deals you can take advantage of that are a lot cheaper than Windows laptops, although if you do need Windows, then there are a lot of great laptop deals for that, too.

Whatever you’re looking for, we’ve collected some of our favorite student laptop deals from that include HP laptop deals, Dell laptop deals, Acer laptop deals, and Lenovo laptop deals.

HP Laptop 14 — $200 $250 20% off

Front angle of the HP 14-inch Chromebook.
HP

The HP Laptop 14 is a popular choice among students because of its entry level price point. It’s specs aren’t going to blow anyone away, but they’re good value for the price and are plenty to get the job done. This build of the HP Laptop 14 has 4GB of RAM and a quad-core Intel Celeron processor. It does check in with just 128GB of storage space — this may not be enough for some users, but if you aren’t planning on loading your laptop up with media this is one that will accompany you well around campus.

ASUS Vivobook 14-inch — $280 $430 35% off

The ASUS Vivobook 15.6-inch version with a menu open.
Image used with permission by copyright holder

The ASUS Vivobook 14-inch is a great study companion due to quirks that make it perfect for late-night usage. Like other ASUS laptops (just one reason ASUS is featured among the best budget laptops) it sports a quiet keyboard with slender-pressing keys. And, in this case, they’re also backlit, meaning you can find the right keys easily even in the dark of night. Its 180-degree hinge, when fully opened, means the ASUS Vivobook can lie flat, allowing for multiple comfortable positions for in-bed studying. The ASUS Vivobook 16-inch features 8GB of RAM, 126GB of SSD storage, and an Intel Core i3-1215U processor.

IdeaPad Slim 3i Chromebook — $420 $550 23% off

The IdeaPad Slim 3 Chromebook is a great option if you often work unplugged for long periods of time.
Lenovo

Fitting in as one of the best Chromebooks for students, the IdeaPad Slim 3 Chromebook runs on 8GB of memory and an Intel i3 processor. The 14-inch FHD screen has a 100% sRGB color gamut and sides of the keyboard contain speakers, making it a serviceable video lecture companion. The IdeaPad Slim 3’s WiFi 6 allows for quick downloads and a solid internet connection. This, combined with the laptop’s 13-hour battery life, solidify it as the perfect laptop to throw in your bag and take notes with at class. You can still watch (purely educational, of course) YouTube videos, but the machine isn’t designed to be overly distracting.

IdeaPad Slim 3 — $430 $750 39% off

The Lenovo IdeaPad Slim 3i laptop on a desk.
Lenovo

When we look at 15 inch laptops we shouldn’t ignore the IdeaPad Slim 3, which comes with an AMD Ryzen 5 7530U processor and Integrated AMD Radeon Graphics. Behind its 1080p, anti-glare screen is the 8GB of memory and a 512GB SSD storage drive. What makes the IdeaPad Slim 3 special is its tough exterior, made for withstanding harsh drops. This, along with its slim build, make it perfect to throw in the backpack and tug along with you wherever you go. Take even 15 minutes between classes for a charge session and you’ll get two full hours of usage out of your IdeaPad Slim 3, it is a truly versatile machine that is ready to go when you are.

HP Pavilion x360 Laptop 14t — $450 $709 36% off

The HP Pavilion 15t-eg300 laptop against a white background.
HP

If you’re willing to spend a little bit more, the HP Pavilion Laptop 15t really starts to ramp up the stats. The 8GB of RAM can be especially useful if you need to use advanced creative software, for example, and competes with the very best business laptops. Of course, the Intel Core i3-1315U processor won’t hurt either. Store you projects and PowerPoints locally on the 128GB SSD contained within, as you don’t want poor reception in the depths of the philosophy building keeping you from getting your points across. Overall, this is one of the best student laptop deals for those that need a little extra power but aren’t ready to break the bank on luxuries like an ultra-advanced display (the HP Pavilion Laptop 14t is 1080p).

ThinkPad E16 Gen 2 — $799 $1,331 40% off

The ThinkPad E16 Gen 1 turned to its side, open, and with a menu open.
Image used with permission by copyright holder

When we think of the best Lenovo laptops, one line always comes to mind: ThinkPad. They have a reputation for high durability and good keyboards. While we’ve warned in the past that the latest laptop model isn’t always the best, there is something to be said about the ThinkPad E16 Gen 1 being a new arrival to the Lenovo store. It’s got the latest features that you’ll want for the long term, in abundance. For example its got both USB-C ports and WiFi 6, which are becoming increasingly useful. Furthermore, the ThinkPad E16 has a 16-inch 1920 x 1200p screen, 1 TB of storage, and a whopping 24 GB memory.

Dell XPS 14 — $1,010 $1,560 35% off

Dell XPS 14 laptop - 2024 for Dell's Summer Specials
Dell

Consistently one of the best laptops around, the Dell XPS 14 is a dream in almost every way. The thinnest and lightest 14-inch XPS laptop yet, it’s powerful too. It has a Ultra 7 Processor 155H processor, 16GB of memory, and 512GB of SSD storage. Its 14.5-inch full HD+ display with a 1920 x 1200 resolution is a delight to look at with 500 nits of brightness ensuring it can handle all lighting situations too. An impressive battery life of up to 12 hours means it’ll handle the busiest days of classes while you can enjoy streaming your favorite shows in style later in the day thanks to the great display and bigger internal speakers than previous models.

HP Envy Laptop 17t — $1,250 $1,500 16% off

A side profile of the HP Envy 17-inch laptop against a white background.
.

Featured among our best HP laptop deals as well, the HP ENVY Laptop 17t is praised for its photo connectivity features. By using HP Palette, you can search through the images of your college memories with photo recognition software. (Yes, the guy you went to chemistry with was also the awful karaoke singer last night.) The HP ENVY Laptop 17t also has quick file sharing between connected devices. Another thing to note about this laptop is how bit it is. It has a 17.3-inch, 1080p screen, so be sure to check out our favorite 17-inch laptop bags if you pick up this offering, as your current one might not be able to handle it. And that big size won’t go to waste at all, as it will not only help you see your pictures better, but also see yourself better from its 5MP built-in webcam. The HP ENVY Laptop 17t uses an Intel Core i7 processor, gets 16GB of RAM, and 512GB of storage.



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Razer’s Xbox quick charge stand drops to $20

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Razer's Xbox quick charge stand drops to $20

Right now Amazon has an incredible deal on the Razer Universal Quick Charge stand for Xbox controllers that saves you quite a bit of money on the accessory. This charging stand will fit one controller and it normally retails for $40 to $50 depending on the style you pick. For instance, some styles like the Electric Volt are $40 at full price while the Forza Horizon 5 model is $50 at full price.

However, Amazon is knocking the price down on many of the available options to $20. So depending on the color or style you choose, you’re saving either 50% or 60%. This is easily the lowest price we’ve tracked for this accessory at any point and if you need an easy way to keep your wireless controller charged, this is a deal you don’t want to miss.

Razer Quick Charge Stand Price History

Now it is probably obvious but it needs to be said for clarification, this deal is only for Razer’s quick charge stand and it does not come with an Xbox wireless controller. The stand does come with the necessary USB cable to plug it into a power source though. You can sit your controller on the stand at any point and charge your wireless controller and it should be charged up in under a few hours.

The stand also serves as a nice place to store the controller when you’re not playing, which also looks nice. So it keeps things organized in your setup. In terms of the available colors/styles for this deal, Amazon is offering the $20 price on the Deep Pink, Electric Volt, Forza Horizon 5, Mineral Camo, Robot White, and Velocity Green variants.

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