5 Best Laptops for Machine Learning in 2021 – Top Rated Choices!

With the rise in neural network growth and deep learning implementations in the future, it isn’t surprising that more and more companies are leveraging machine learning, AI, and other technological advances. However, what the companies fail to understand is that not every laptop in the market is equipped with enough features to combat the robust functions and commands.

If you are into complex machine learning programs like machine translation, voice recognition, and medical photo analysis, you must invest in a laptop that takes care of all those needs.

When buying the best laptop for machine learning, there are ample factors that you need to consider. From the processor and performance to the portability and design, there are quite a few roadblocks that need addressing.

In this article, we are going to share a list of the top laptops for machine learning that you can consider buying.

Best Laptops for Machine Learning – Reviews

Picking a laptop, in general, is a tedious task. And, when you are doing it for machine learning programs and networks, the process becomes even more confusing. To give you a quick get start to this gruelling decision, we have shortlisted our favorite picks based on value, performance, and overall quality.

1. Razer Blade 15 Gaming Laptop

Despite the name it has created for itself in the gaming sphere, Razer is a versatile brand that does contribute well to machine learning programs as well. The Razer Blade 15 Base gaming laptop is one of the best picks and deserved the first mention on the list.

Features

If you are stuck handling complex programs and experiencing delays, Blade 15 can effectively tend to those issues. The high-core processor with multi-tasking features is what makes it an ideal pick for machine learning, without a speck of doubt.

Also, despite the slightly premium price point, let us assure you that the investment is worth it. The aluminum chassis with the Razer logo on the cover gives it a premium look. Despite the high-end processors and functions, the device weighs 2.1 kgs and is 17.8 mm in thickness, enabling optimal portability as well.

The manufacturers have also paid close attention to detail with the soft-to-touch keyboard and expansive 15.6” FHD display to enable smoother functions. The precision pad in the device is highly touched sensitive and operates optimally without any delays.

Performance

Powered by the 10th Gen Intel Core i7-10750H processor, the device is backed with up to 5.0Ghz Turbo power with 6-cores performance. Also, the NVIDIA GeForce RTX 2060 is backed with the Turing GPU architecture that enables smoother gameplay, heightened and glitch-free performance without any complaints.

The combination of 512GB SSD of storage with 16GB RAM further contributes to seamless multitasking, especially when you are developing networks using machine learning programs.

Why it’s better?

Despite a slightly higher price range, this is one of the few multifunctional laptops that support the latest machine learning developments, without imposing delay to the performance. The compact design and sleek style also make it an option worth considering.

Also, the dual-fan system in the device aids faster cooling and enables you to make maximum use out of the device, especially when you are using it for longer periods and want to avoid overheating.

Who is it ideal for?

If we had to select, we’d ideally suggest the Razer Blade 15 laptop for beginners who are getting into machine learning and want a stable enough device that can tend to their functions and inputs.

Pros

  • Supports multiple intensive software applications without affecting speed and performance
  • Ideal and latest processor combination
  • Backed with Dolby Atmos audio speakers
  • Integrated with a 720p front-facing camera
  • Lightweight, durable, and extremely portable
  • Heightened wireless and I/O ports connectivity

Cons

  • Backlight bleeding is very visible

2. MSI GS65 Stealth-002 Gaming Laptop

MSI is synonymous with power and high-end performance. So, when it was time to list out the best laptops for machine learning, it was a no-brainer that the MSI GS65 Stealth-002 was worthy of mention. The only problem? It is going to create a dent in your bank account. However, all for the good and superior performance.

Features

Aside from the stunning golden-edged trims and premium design, the MSI GS65 Stealth-002 is nothing but a beastly device. The 15.6” FHD display is backed with a 144Hz refresh rate that contributes to superior frame rates and an ideal screen-to-body ratio of up to 82% that allow you to make maximum use of the screen space.

The silky glass precision touchpad works like butter and feels smooth under your fingertips, not to mention that it’s highly responsive too. The touchpad is programmed with up to 10 gestures that correspond to different functions and shortcuts.

The laptop is constructed with a light aluminum construction that not just offers great durability but a premium scratch-resistant exterior too. Also, the Dynaudio speaker system supports up to 10 decibels of sound streaming for crisp and clear audio output.

Performance

The Intel Core i7-8750H and GeForce RTX 20 series GPU take care of the device’s performance. The powerful framework with stupendous turbo power and high-core performance enables you to brave through your deep learning programs without any complications or lags.

Also, if you are focused on multitasking or online streaming of games, the 32GB DDR4 RAM with 512GB SSD of storage takes care of that for you.

Why it’s better?

If we had to ignore the price of this device, there’s no comparison of its features with the other mentions. From the processor framework to the integrated memory options, this device is designed to tackle intensive machine learning and AI processing and functions without experiencing lags or delays like the other ones.

Who is it ideal for?

There’s no question but if you are working with Big data and machine learning in the advanced stages with complicated programs, this device is for you.

Pros

  • Comes with an adapter for charging on the go
  • Backed with up to 8 hours of uninterrupted battery life
  • Supports multiple I/O ports for smoother data transfer
  • Lightweight and durable construction

Cons

  • Pretty expensive

3. ASUS ROG Zephyrus GX501

Republic of Gamers, or ROG, created a breakthrough in the gaming, machine learning, and world of Artificial Intelligence ever since its release. From integrating the latest processors to highly responsive performance, the devices in the series are more than just gaming laptops.

Amidst all their bestsellers, the ASUS ROG Zephyrus GX501 is one of the best picks when it comes to a high-quality laptop for machine learning. This powerful laptop is versatile and allows you to make the most use out of gaming as well as programming without any delays.

Features

The first factor about the ASUS ROG Zephyrus GX501 the stands out is the premium design. Just holding the device gives you a sort of heavy and worthy feeling, making you realize that your money is going in the right place.

The SmartAmp technology in this device allows you to experience uninterrupted audio output without any complaints, something that you will appreciate while working with machine learning and AI programming.

The laptop is integrated with the latest NVMe and PCIe technology enabling super-fast read speeds for multitasking, especially when you have multiple tabs and applications opened at the same time. Back that with ample storage space of up to 512GB SSD and you have yourself a winner right here.

Performance

Not just the basic features, the ASUS ROG Zephyrus GX501 also stands out with its performance. Powered by the 8th-Gen Intel Core i7-8750H and GeForce GTX 1080 GPU with 8GB VRAM allows you to experience the best of performance.

ASUS ROG has also upgraded the display panel from 120Hz to 144Hz in this one, allowing you to have a more tactile and responsive user experience. The CPU in the device offers up to 15% enhanced performance as compared to its predecessors.

Why it’s better?

Not only does it feature a moderate price range, but the device is also programmed with the latest CPU/GPU combination with ample storage and 15% heightened performance. What more can you even need for your machine learning programs?

Who is it ideal for?

The style, design, and price range of this ASUS ROG Zephyrus GX501 makes it an ideal purchase for corporates or company officials dealing with highly sensitive data and programming.

Pros

  • Ideal for extensive and lighter programs
  • Lightweight design with premium functions
  • Backed with HDMI and Thunderbolt 3 ports
  • Compatible with high-end machine learning software like Weka, etc.

Cons

  • A little on the expensive end

4. ASUS VivoBook K571

Not everyone wants to invest or even can afford to spend over $2000 on a laptop and we understand that. If you are one of those people who are looking into investing in high-performance but a budget-friendly laptop for machine learning, the ASUS VivoBook K571 is an ideal choice.

Despite the affordable price range, the device features a gray and sleek design that outnumbers some of the high-end and pricier options available in the market.

Features

Aside from the sleek design, the ASUS VivoBook K571 features a widescreen FHD screen with narrow bezels and expansive screen space that allow you to work with multiple applications and software at a time. The display panel is backed with a 120Hz refresh rate that contributes to a highly responsive visual experience.

The laptop is integrated with a host of I/O ports, which further enable you to experience smoother data transfer without complications. The right side of the device is designed with two blinking LEDs to alert you when your battery is about to run out.

Despite the expansive 15.6” display and design, the device is extremely lightweight and weighs 1.99 kgs, ideal for gamers and programmers. Since machine learning programs can take up a lot of time to function and operate, the thermal management system takes care of the risks of overheating.

Performance

The laptop is powered by the Intel Core i7-9750H Processor and GeForce GTX 1650 with 4GB VRAM for superior multitasking and versatile functions like no other.

The best part of the device that contributes to the performance is the integration of dual storage slots with 256GB SSD with a 1TB HDD for enhanced storage requirements. So, you get ample space with faster bootup and file transfer. Also, it is integrated with 16GB DDR4 RAM that contributes to the elevated machine learning performance of the device.

Why it’s better?

Compared to all the other laptops that we have mentioned in this list, this one is not just affordable; it doesn’t compromise on the performance and functions. This means that you can experience the best machine learning programming without having to compromise on your budget.

Who is it ideal for?

The ASUS VivoBook K571 is an ideal choice for gamers and programmers alike. So, not only can you tackle your machine learning and data learning programs by the day, you can crank up the online games by the night using this device.

Pros

  • Integrated with a responsive and anti-glare LCD
  • Integrated with battery saver option for longer usage
  • Powerful processors enable smoother multitasking without delays
  • Upgradeable RAM option up to 32GB
  • Backed with Harman Kardan audio system
  • Soft-touch keyboard clicks with precision touchpad

Cons

  • Wireless connectivity options need work

5. ASUS ROG Strix

Although a 2019 model, the ASUS ROG Strix is a worthy investment. Not only do you get superior performance for a budget-friendly price, but you also get to experience the best of both worlds with machine learning and gaming experience.

This beast of a device boasts the i7 core processor that beats out all the other recent upgrades, especially when you are working with intensive machine learning programs.

Features

Aside from the sleek design and premium features, the ASUS ROG Strix stands out in multiple prospects. The best feature of the device is the consequent upgrades it has gotten that have reflected on the performance of the device.

Despite being integrated with some of the high-end processors and units, the device weighs just 6.4 pounds, which is a justification as to how well the device has been put together. If you are always on the go and need a device that will complete a lifestyle like that, we’d recommend choosing this one.

The best thing about the device that makes it stand out from the rest is the wider 17.3” display. Compared to all the above options with 15.6”, this one feature and boasts a larger display.

Performance

The ASUS ROG Strix is powered by the latest 9th Gen Intel Core i7-9750H processor with GeForce GTX 1650 with 4GB VRAM for superior performance without lags and delays. If you are managing advanced-level machine learning programs and applications, you wouldn’t have to worry about responsiveness and lag-free performance with this laptop.

Why it’s better?

The best feature and standalone bestselling point are the larger display size. Despite the affordable price range, you get a premium quality expansive display with the latest processors for superior and unmatched performance. What more could you need?

Who is it ideal for?

If you deal with bigger and intensive applications that require more processing power and a larger display to accommodate multiple applications at once, this is an ideal pick.

Pros

  • Optimal performance with delays
  • Expansive and highly responsive display
  • Lightweight and sleek design for usage on the go

Cons

  • Display quality and resolution needs working

Process to Filter Out Best of Laptops for Machine Learning While Making Decision

There are hundreds and thousands of available laptops in the market. So, how did we manage to shortlist the top 5 picks for our readers?

Well, this is where we give you an insight into the filtering process.

Our list of the best laptops for machine learning has been selected based on:

  • Processing power

We can’t stress this enough but if a laptop lacks good processing power, it won’t run the robust machine learning applications. While selecting the best devices, we wanted to focus on a highly responsive CPU/GPU combination with ideal RAM configuration and storage to accommodate the needs.

  • RAM

If your laptop doesn’t have a good memory configuration, you won’t be able to run multiple applications at once, something that is crucial for machine learning. Our list of products includes a minimum of 16GB RAM in the configuration, which we’d consider a base point for running the intensive applications and processors dealing with data learning and AI.

  • GPU

Although many users have a misconception that GPUs are only worth looking into for gaming devices, you need to be mindful of the same for a machine learning laptop too. A powerful GPU will reduce the computation time and ensure the uninterrupted performance of the neural networks involved in developing machine learning programs.

  • CPU

Alongside the GPU, we wanted to focus on a good processing unit too. For machine learning, you want to invest in laptops that offer over i7 core processor and 7th Gen. performance. This is ideal and will help you sort out the intensive programs without any delays or lags.

  • Storage

The last factor of consideration is the storage configuration. We’d recommend choosing a laptop with at least 512GB SSD storage or with 1TB HDD storage to handle the heavy-duty programs with ease.

FAQs

1. Which is the best laptop for machine learning?

If budget isn’t a constraint for you, we’d recommend choosing the MSI GS65 Stealth-002 Gaming Laptop for machine learning programs.

2. How do I choose a laptop for machine learning?

For machine learning, you want to invest in a laptop that assures high-end performance, superior CPU/GPU configuration, responsive display and comes with ample storage and RAM for an unhinged multitasking experience.

3. What kind of laptop do you need for machine learning?

Since machine learning deals with extensive neural networking and graphics-related functions, you want a laptop with dedicated graphics and high-end responsiveness.

4. Is MacBook good for machine learning?

Although the latest MacBook does come with the M1 processor and chipset, it is still not an optimal device for machine learning, especially when it comes to advanced-level programming and networking tasks.

Conclusion

So, that’s all for now. If you are looking for the best laptops for machine learning, we hope this list of products suffices your queries and needs.

We have tried to keep our list versatile, which means that not only have we included the expensive and high-end laptops; we have also included a few budget-friendly ones. Always try to prioritize the quality and performance of the device before focusing on the price range.

If we had to shortlist the top two from two ends of the spectrum, we’d suggest considering either the MSI GS65 Stealth-002 Gaming Laptop, if you have a high budget, or the ASUS VivoBook K571, if you are looking for a budget-friendly alternative.

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