Pay what you want to master the whole Adobe Creative Cloud

Adobe

It’s ‘pay what you want’ time folks, and this package is enormous. The Adobe CC A-Z Lifetime Bundle is 100 hours of training in the world’s leading design suite. You can access the lot for just a few bucks.

Whichever area of design you’d like to train in, it’s likely to be covered in this bundle. There’s instruction in Adobe Photoshop for your images, Illustrator for your graphics, Premiere Pro for video editing, and a whole lot more.

No design course in 2018 would be complete without some training in web design either, and this collection of learning kits is no exception. UI/UX and Web Design Using Adobe XD teaches you the art of making beautiful apps and websites. It’s worth $200 alone.

Here’s the full Adobe CC rundown:

While there’s almost $2,600 of training in total, you only have to beat the average price to get the lot. At the time of writing it was around the $11 mark, so it’s not exactly breaking the bank.

We realize it sounds suspiciously cheap, but there are no elephant traps here. You’re buying not bidding, and the average price to beat is no secret either. Thousands of bundles have already been sold, which is how Tech Deals can afford to offer them at such a great price.

Even if you pay just $1, you still get Adobe After Effects: The Complete Motion Graphics Course. At $297 value it’s quite a steal. If you’re feeling generous and top the leaderboard you may even win the epic giveaway, whatever that is.

Hit the button below to find out more. The average price is creeping up, so the faster you move the less you’ll pay.

The AAPicks team writes about things we think you’ll like, and we may see a share of revenue from any purchases made through affiliate links. To see all our hottest deals, head over to the AAPICKS HUB.


Looking for a new phone or plan? Start here with the Android Authority Plan Tool:

This smart tool lets you filter plans by phone, price, data tiers, and regional availability. Stop overpaying for cell service you hate and a phone that you’re tired of. Use our Compare Phones & Plans tool to fully customize your mobile experience and painlessly transition from one carrier to another!

Source: Android Zone

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Master SQL to produce next level software in this 9-part bundle

learn sqlSQL is involved in everything from web development, to app design, to marketing strategies. Many top tech names who need to process big data use it, such as Facebook, Twitter, Wikipedia, and YouTube.

It’s the de facto database language used worldwide.

This means that many career opportunities are based on specializing in this programming language. According to Payscale.com, in 2018 the average salary of an SQL professional ranged from $62,000 to $130,000.

To break into this industry all you need is the Ultimate SQL Bootcamp. This online bundle is perfect for beginners, with nine learning kits and over 60 hours of expert video-tuition. You’ll quickly become a master of manipulating databases.

Ultimate SQL Bootcamp

Apart from SQL, you’ll gain a strong understanding of a host of linked technologies, such as C#, AJAX, CSS, HTML, and jQuery. That’s a powerful set of skills to have at your fingertips.

The Ultimate SQL Bootcamp in full:

Over 1,600 people have already enrolled and the bundle is currently boasting a five-star rating. Right now you can save over $350 and get the whole bundle for just $49

This is a temporary price drop which ends soon, so don’t miss out. Hit the button below to get started.

The AA Picks team writes about things we think you’ll like, and we may see a share of revenue from any purchases made through affiliate links. To see all our hottest deals, head over to the AAPICKS HUB.


Looking for a new phone or plan? Start here with the Android Authority Plan Tool:

This smart tool lets you filter plans by phone, price, data tiers, and regional availability. Stop overpaying for cell service you hate and a phone that you’re tired of. Use our Compare Phones & Plans tool to fully customize your mobile experience and painlessly transition from one carrier to another!

Source: Android Zone

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A closer look at Arm’s machine learning hardware

Back at the start of 2017, Arm announced its first batch of dedicated machine learning (ML) hardware. Under the name Project Trillium, the company unveiled a dedicated ML processor for products like smartphones, along with a second chip designed specifically to accelerate object detection (OD) use cases. Let’s delve deeper into Project Trillium and the company’s broader plans for the growing market for machine learning hardware.

It’s important to note that Arm’s announcement relates entirely to low power inference hardware. Its ML and OD processors are designed to efficiently run trained machine learning tasks on consumer-level hardware, rather than training algorithms on huge datasets like Google’s Cloud TPUs are designed to do. To start, Arm is focusing on what it sees as the two biggest markets for ML inference hardware — smartphones and internet protocol/surveillance cameras.

New machine learning processor

Despite the new dedicated machine learning hardware announcements with Project Trillium, Arm remains dedicated to supporting these type of tasks on its CPUs and GPUs too, with optimized dot product functions inside its latest CPU and GPU cores. Trillium augments these capabilities with more heavily optimized hardware, enabling machine learning tasks to be performed with higher performance and much lower power draw. But Arm’s ML processor is not just an accelerator — it’s a processor in its own right.

Editor’s Pick

The processor boasts a peak throughput of 4.6 TOPs in a power envelope of 1.5 W, making it suitable for smartphones and even lower power products. This gives the chip a power efficiency of 3 TOPs/W, based on a 7 nm implementation, a big draw for the energy conscious product developer. For comparison, a typical mobile device might only be able to offer around 0.5 TOPs of mathematical grunt.

Interestingly, Arm’s ML processor is taking a different approach to some smartphone chip manufacturers that repurposed digital signal processors (DSPs) to help run machine learning tasks on their high-end processors. During a chat at MWC, Arm vp, fellow and gm of the Machine Learning Group Jem Davies, mentioned buying a DSP company was an option to get into this hardware market, but that ultimately the company decided on a ground-up solution specifically optimized for the most common operations.

Arm’s ML processor boasts a 4-6x performance boost over typical smartphones, along with reduced power consumption.

Arm’s ML processor is designed exclusively for 8-bit integer operations and convolution neural networks (CNNs). It specializes in mass-multiplication of small byte sized data, which should make it faster and more efficient than a general purpose DSP at these type of tasks. CNNs are widely used for image recognition, probably the most common ML task at the moment. If you’re wondering why 8-bit, Arm sees 8-bit data is the sweet spot for accuracy versus performance with CNNs, and the development tools are the most mature. Not forgetting that the Android NN framework only supports INT8 and FP32, the latter of which can already be run on CPUs and GPUs if you need it.

The biggest performance and energy bottleneck, particularly in mobile products, is memory bandwidth and mass matrix multiplication requires lots of reading and writing. To address this issue, Arm included a chunk of internal memory to speed up execution. The size of this memory pool is variable and Arm expects to offer a selection of optimized designs for its partners, depending on the use case. We’re looking at 10s of kb of memory for each execution engine capping out at around 1MB in the largest designs. The chip also uses lossless compression on the ML weights and metadata to save up to 3x in bandwidth.

Arm’s ML processor is designed for 8-bit integer operations and convolution neural networks.

The ML processor core can be configured from a single core up to 16 execution engines for increased performance. Each comprises the optimized fixed-function engine as well as a programmable layer. The fixed-function engine handles convolution calculation with a 128-wide Multiply-Accumulate (MAC) unit, while the programmable layer engine, a derivative of Arm’s microcontroller technology, handles the memory and optimizes the data path for the machine learning algorithm being run. The name may be a bit misleading as this isn’t a unit exposed to the programmer directly for coding, but is instead configured at the compiler stage to optimize the MAC unit.

Finally, the processor contains a Direct Memory Access (DMA) unit, to ensure fast direct access to memory in other parts of the system. The ML processor can function as its own standalone IP block with an ACE-Lite interface for incorporation into a SoC, or operate as a fixed block outside of a SoC. Most likely, we will see the ML core sitting off the memory interconnect inside a SoC, just like a GPU or display processor. From here, designers can closely align the ML core with CPUs in a DynamIQ cluster and share access to cache memory via cache snooping, but that’s a very bespoke solution that probably won’t see use in general workload devices like mobile phone chips.

Fitting everything together

Last year Arm unveiled its Cortex-A75 and A55 CPUs, and high-end Mali-G72 GPU, but it didn’t unveil dedicated machine learning hardware until almost a year later. However, Arm did place a fair bit of focus on accelerating common machine learning operations inside its latest hardware and this continues to be part of the company’s strategy going forward.

Its latest Mali-G52 graphics processor for mainstream devices improves the performance of machine learning tasks by 3.6 times, thanks to the introduction of dot product (Int8) support and four multiply-accumulate operations per cycle per lane. Dot product support also appears in the A75, A55, and G72.

Arm will continue to optimize ML workloads across its CPUs and GPUs too.

Even with the new OD and ML processors, Arm is continuing to support accelerated machine learning tasks across its latest CPUs and GPUs. Its upcoming dedicated machine learning hardware exists to make these tasks more efficient where appropriate, but it’s all part of a broad portfolio of solutions designed to cater to its wide range of product partners.

In addition to offering flexibility across various performance and energy points to its partners – one of Arm’s key goals – this heterogeneous approach is important even in future devices equipped with an ML processor to optimize power efficiency. For example, it may not be worth powering up the ML core to quickly perform a task when the CPU is already running, so it’s best to optimize workloads on the CPU too. In phones, the ML chip is likely to only come into play for longer running, more demanding neural network loads.

From single to multi-core CPUs and GPUs, through to optional ML processors which can scale all the way up to 16 cores (available inside and outside a SoC core cluster), Arm can support products ranging from simple smart speakers to autonomous vehicles and data centers, which require much more powerful hardware. Naturally, the company is also supplying software to handle this scalability.

The company’s Compute Library is still the tool for handling machine learning tasks across the company’s CPU, GPU, and now ML hardware components. The library offers low-level software functions for image processing, computer vision, speech recognition, and the like, all of which run on the most applicable piece of hardware. Arm is even supporting embedded applications with its CMSIS-NN kernels for Cortex-M microprocessors. CMSIS-NN offers up to 5.4 times more throughput and potentially 5.2 times the energy efficiency over baseline functions.

Arm’s work on libraries, compilers, and drivers ensures that application developers don’t have to worry about the range of underlying hardware.

Such broad possibilities of hardware and software implementation require a flexible software library too, which is where Arm’s Neural Network software comes in. The company isn’t looking to replace popular frameworks like TensorFlow or Caffe, but translates these frameworks into libraries relevant to run on the hardware of any particular product. So if your phone doesn’t have an Arm ML processor, the library will still work by running the task on your CPU or GPU. Hiding the configuration behind the scenes to simplify development is the aim here.

Machine Learning today and tomorrow

At the moment, Arm is squarely focused on powering the inference end of the machine learning spectrum, allowing consumers to run the complex algorithms efficiently on their devices (although the company hasn’t ruled out the possibility of getting involved in hardware for machine learning training at some point in the future). With high-speed 5G internet still years away and increasing concerns about privacy and security, Arm’s decision to power ML computing at the edge rather than focusing primarily on the cloud like Google seems like the correct move for now.

Editor’s Pick

Most importantly, Arm’s machine learning capabilities aren’t being reserved just for flagship products. With support across a range of hardware types and scalability options, smartphones up and down the price ladder can benefit. In the longer term, the company is eying performance targets all the way from tiny IoT up to server class processors too. But even before Arm’s dedicated ML hardware hits the market, modern SoCs utilizing its dot product-enhanced CPUs and GPUs will receive performance- and energy-efficiency improvements over older hardware.

Arm says that Project Trillium machine learning hardware, which remains unnamed, will be landing in RTL form sometime mid-2018. To expedite development, Arm POP IP will offer physical designs for SRAM and the MAC unit optimized for cost-effective 16nm and cutting-edge 7nm processes. We likely won’t see Arm’s dedicated ML and object detection processors in any smartphones this year. Instead, we will have to wait until 2019 to get our hands on some of the first handsets benefiting from Project Trillium and its associated hardware.

Source: Android Zone

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We analyzed the best VPN services and here is what we found

VPN service (Virtual Private Network) has become an essential tool to keep your online activity and information safe and private.  Be it to stay secure when using a public Wi-Fi network, to unblock social media and streaming sites, or to block online tracking, there are numerous reasons why you should use a VPN. There are hundreds of VPN services available, and it isn’t always easy to pick the right one.

To help you out, we’ve analyzed some of the best VPN services currently available to help make the decision on who to pick easier!


VPN Service #1 – ExpressVPN – Best all round VPN 2018

best vpn services - expressvpn

ExpressVPN is considered one of the best VPN services around with good reason. It offers everything you would expect from a great VPN, like a zero logging policy, impressive connection speeds, a large number of servers across the world, and necessary security features like the Network Lock, DNS leak protection, and more. The apps are easy to use but don’t compromise on settings and features.  

ExpressVPN also doesn’t skimp on what the VPN is capable of. Everything from P2P file sharing to media streaming, including Netflix, is possible using ExpressVPN. Easy to install apps are available for all major platforms, and helpful guides can be found to set up ExpressVPN on routers, gaming consoles, media streaming devices, and more. 

ExpressVPN can be more expensive than other providers, but it is certainly one of the best VPN services around and worth the cost. The prices are currently at $99.95 for the annual plan ($8.32 per month), $59.95 for the 6-month plan ($9.99 per month), and $12.95 for the monthly plan. However, you can save 49% and get 3 months free if you are a Android Authority reader (only $6.67/month).

What it’s good for

  •  Fast speeds
  • Good security features
  • Torrenting is very well supported
  • Netflix and other video streaming access is available 

What could be better

  • Only 3 concurrent connections allowed

VPN Service #2 – NordVPN – Best VPN for security 

best vpn services - nordvpn

NordVPN is all about providing the best security features possible. Your online activity stays completely private with its zero logging policy, IP and DNS leak protection, and the best encryption protocols. Beyond that, you can take advantage of specialty servers for P2P and Anti-DDoS. For even more security, you have the option to enable Double VPN that runs everything through two servers.

While a network kill switch is standard, the service also comes with an App Kill Switch which lets you set certain apps to automatically close if the VPN connection drops. The apps also recognize if you are in a restricted location and load obfuscated servers. Finally, you can request a dedicated IP service, which will set you back an additional $70 a year.

Despite the heavy security features, NordVPN manages to offer excellent speeds and low latency. NordVPN features specialty servers for torrenting and Netflix works via select servers as well. NordVPN is also one of the few premium VPN services to offer a free 7-day trial along with a 30-day money back guarantee. 

NordVPN is also quite affordable considering all that it has to offer. NordVPN is currently priced at $79 for the 2-year plan ($3.29 per month), $69 for the annual plan ($5.75 per month), and $11.95 for the monthly plan. With its great mix of security features, speed, useful extras, and reasonable price points, NordVPN is considered by many to be one of the best VPN services currently available. 

What it’s good for

  • Security! Tons of security features are available. 
  • Fast speeds.
  • Good for torrenting- specialty servers are available. 
  • Allows for access to Netflix and other video streaming platforms. 
  • Up to 6 simultaneous connections allowed – more than most.
  • 7-day trial available along with 30-day money back guarantee. 

What could be better

  • Apps require a bit of a learning curve, especially when trying to figure out all the security features. 

VPN Service #3 – PureVPN – Best VPN for beginners (ease of use) 

best vpn services - purevpn

PureVPN is all about ease of use and completely takes the guesswork out of server selection, which is great for the first-time user. All you have to do is choose between various well-defined modes like Stream, File Sharing, and more, and then pick a specific purpose or the server closest to you. 

The Settings or Preferences menu is simple, and the various security features come with small descriptions to make them easier to understand. Of course, you can leave the default settings in place if you don’t want to worry about these options. 

PureVPN is not without its issues. The fact that it collects connection logs (but no activity logs) may be an issue for some and it has a dodgy 7-day refund policy. The speeds are also about average and could use a boost. However, for those who have no idea about servers, locations, protocols, security features, and more, PureVPN is one of the best VPN services for beginners. 

The best discounts for PureVPN are available with the long-term plans. the 2-year plan is priced at just $69 ($2.88 per month) and the annual plan will set you back $59 ($4.92 per month), while the usual monthly rate is a relatively steep $10.95. 

What it’s good for

  • Ideal for the first-time user. Just pick a mode and purpose and you’re good to go. 
  • Good security features like Internet Kill Switch, VPN Hotspot, and more. 
  • Torrenting is okay. 
  • Access is available for Netflix and a slew of other video streaming sites. 
  • Allows up to 5 simultaneous connections. 

What could be better

  • Zero activity logging, but connections are logged. 
  • Speed is average. 
  • No trial period. 7-day money back guarantee has odd conditions (less than 3 GB data usage or less than 100 sessions).

VPN Service #4 – SaferVPN – Best VPN for speed

best vpn services - safervpn

SaferVPN claims to be the fastest and simplest VPN service around, and I found it to be one of the best VPN services around during my review. The apps are very simple and with no bells and whistles, and it’s very easy to install one and connect to the VPN. You don’t get a long list or purposes as you do with PureVPN, but specific servers for U.S. and U.K streaming are mentioned. 

The speeds are also as fast, if not faster, than more expensive options like ExpressVPN and NordVPN. Of course, VPN connection speeds depend on a lot of factors, so not everybody might have the same experience that I did. The good news is the SaferVPN offers a 24-hour trial period as well as a 30-day money back guarantee, which should be more than enough time for you to figure out if this is the right VPN service for you. 

SaferVPN is currently priced at $78.96 for the 2-year plan ($3.29 per month), $65.88 for the annual plan ($5.49 per month), and a monthly rate of $10.99. 

What it’s good for

  • Really impressive speeds. 
  • Simple apps make it quick and easy to connect to the VPN. 
  • Netflix, Hulu, BBC iPlayer, and more can be accessed via the U.S. Streaming and U.K. Streaming servers. 
  • Up to 5 concurrent connections allowed. 

What could be better

  • Only one server location (Netherlands) can be used for torrenting. 
  • No activity logging, but connections are logged. 

VPN Service #5 – Private Internet Access – Most affordable VPN 

best vpn services - private internet access

Private Internet Access, or PIA, is a very popular VPN service mostly because of how affordable it is. However, it doesn’t compromise on key aspects that make for a good VPN. The connection speeds are good, all the necessary security features are available, and its zero logging policy helps alleviate any concern with the fact that PIA is based in the U.S. 

Once you set up and save the various settings and security features, PIA is controlled entirely through a tray icon on Windows, which can definitely take some getting used to. Overall, it isn’t the easiest to use and is recommended for more experienced VPN users who can easily find their way around everything. If you are looking for a fast and cheap VPN service, PIA is the way to go. 

PIA is currently priced at just $69.95 for the 2-year plan ($2.91 per month), $39.95 for the annual plan ($3.33 per month), and a monthly rate of $6.95. While you can still find some VPN services that offer a similar 2-year plan rate, the annual plan and the monthly rate are some of the cheapest plans by far when compared to other best VPN services out there. 

What it’s good for

  • One of the cheapest VPN services around.
  • Good speeds.
  • Lots of security features.
  • Good for torrenting.
  • Zero logging policy.
  • Up to 5 simultaneous connections. 

What could be better

  • Barebones Windows client and mobile apps. 
  • Based in the US, but zero logging policy should help alleviate any concerns. 
  • Can be difficult to access video streaming sites like Netflix. 

VPN Service #6 – CyberGhost – Best for torrenting 

best vpn services - cyberghost

CyberGhost is another popular VPN service that ticks all the right boxes as far as what is expected from a premium VPN. The Windows app interface is similar to what is seen with PureVPN, with various modes like Browse anonymously, Torrent anonymously, Stream anonymously, and more. Things aren’t as simple as PureVPN though, with users also getting the option for manual server selection, along with there being a slew of additional security features available. 

The speeds are good but not great. However, that may be because of my location. The speeds are still more than enough to stream high-quality video on sites like Netflix without any lag or buffering issues. CyberGhost is also one of the better options for torrenting. Apart from the Torrent anonymously section, the server list clearly marks the locations that allow for P2P file sharing.  

CyberGhost is running an excellent sale on the annual plan right now, bringing the price down to just $33 ($2.75 per month) for the first year, which is a fantastic price for one of the best VPN services around. You will then be charged $66 per year after that, which is still one of the cheaper annual plans around. The 3-month plan is priced at $29.97 ($9.99 per month), while the standard monthly rate is $11.99. 

What it’s good for

  • Easy to navigate apps.
  • Good for torrenting – clearly marked servers for P2P.
  • Allows access to video streaming sites like Netflix.
  • Zero logging policy. 
  • Good security features and nice extras like ad and malware blocking. 
  • Up to 5 concurrent connections allowed. 

What could be better

  • Speeds could be faster. 

VPN Service #7 – IPVanish VPN – Best VPN for gaming

best vpn services - ipvanish

IPVanish is a simple VPN to use with apps available for every major platform, and support for Wi-Fi routers, Chromebooks, and more. The security and privacy features are fantastic, and beyond what many competing services have to offer. 

See also: Best VPNs for gaming

IPVanish is known for offering some of the fastest download and upload speeds, and its usually low latency makes it an ideal VPN for gaming. The stability and reliability of the connection are impressive as well. Unfortunately, some of the things people use VPN’s for like circumventing geolocation blocks on Netflix aren’t possible here. For almost everything else, IPVanish is one of the best VPN services currently available.

IPVanish is priced at $77.99 for the annual plan ($6.49 per month), $26.99 for the 3-month plan ($8.99 per month), and a monthly rate of $10. 

What it’s good for

  • Good speeds and low latency make it a popular VPN for gaming.
  • Lots of security features.
  • Good for torrenting.
  • Up to 5 concurrent connections.
  • Zero logging policy. 

What could be better

  • Apps could be more user-friendly.
  • Only 7-day money back guarantee available.  Less than most.
  • Based in the US. But zero logging policy should alleviate any concerns. 

VPN Service #8 – Windscribe – Best free VPN

best vpn service - windscribe

We don’t recommend using a free VPN, since paying for one gets you more security features, faster speeds, no data caps, quicker access, and more. However, if you are looking for the option, the free version of the Windscribe VPN is one of the best around. 

With Windscribe Free, you get a generous data cap of 10GB per month. This is fantastic since most other free VPNs limit the monthly data usage to as low as 500MB or 1GB. You can further increase your data cap by tweeting about Windscribe, that will get you an additional 5GB per month. Referring a friend will increase the data limit by 1GB. 

While only servers in 11 countries are accessible with the free version, you are able to use it for P2P file sharing. You can also take advantage of security features like a built-in ad blocker, the same encryption as is available with the premium version, and its zero logging policy. The free version may not be one of the best VPN services around, but it will certainily get the job done in a pinch. 

What it’s good for

  • High monthly data cap of 10GB + which is far higher than most. 
  • Torrenting is allowed. 
  • All security features of the premium version available with the free variant. 
  • Zero logging policy

What could be better

  • A limited number of servers accessible. 
  • Speeds tend to fluctuate. 

That’s it for this roundup of the some of the best VPN services currently available!

Now that you have an idea of the kind of VPN services out there, be sure to check out our guide on how to use a VPN and the best VPN apps. Don’t forget to check out our comprehensive reviews of IPVanish, PureVPN, SaferVPN, ExpressVPN, and NordVPN, and stay tuned for many more detailed VPN reviews in the coming months. 

Source: Android Zone

The post We analyzed the best VPN services and here is what we found appeared first on TuneMaster.ml.

You can now buy the Nokia 6 (2018) in the US

Nokia 6 (2018)

  • Originally slated for a May launch, the Nokia 6 (2018) arrived early in the U.S.
  • You can buy the phone through Amazon and Walmart, but expect retailer availability to increase.
  • The Nokia 6 (2018) was announced during MWC 2018 as the successor to 2017’s Nokia 6.

Already available in ChinaIndia and the U.K., the Nokia 6 (2018)’s next stop is the U.S.

Announced during MWC, HMD Global’s newest mid-range smartphone is the successor to 2017’s Nokia 6. It features a 5.5-inch 1080p display with a traditional 16:9 aspect ratio. Around back is a two-tone finish from a single block of aluminum that offers a striking look and a high level of durability.

The U.S. version is only available in black and copper, though the white/iron and blue/gold combinations could arrive at some point.

Elsewhere, the Qualcomm Snapdragon 630 chipset powers the Nokia 6 (2018) and allows for fast charging and 360-degree OZO Audio recording technology. The phone also runs Android 8.0 Oreo out of the box in international markets, though the Chinese version ran Nougat out of the box. The latter has since been updated to Oreo.

On the camera front, the Nokia 6 (2018) features a primary 16MP f/2.0 sensor with Zeiss optics around back. The selfie camera weighs in at 8MP, with both cameras supporting Nokia’s “Bothie” photo mode for dual-sight shots.

Editor’s Pick

You can pick up the Nokia 6 (2018) from Amazon for $270, while Walmart sells it for $276. The phone is not directly sold from Amazon, since third-party seller BREED has the phone in stock. The Nokia 6 (2018) still has a U.S. warranty from either retailer, so it’s a matter of whether you prefer one over the other.

Also keep in mind that the older Nokia 6 is available through Best Buy, B&H, and other spots. The Nokia 6 (2018) could eventually be sold through those retailers, though time will tell.

For now, you can buy the Nokia 6 (2018) at the links below.

Source: Android Zone

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