Top 7 Best Laptops For Machine Learning in 2022

The reason behind buying a separate laptop for machine learning is that highly complex computations and algorithms involved in deep learning require a robust system. You should go for the best laptops for machine learning if your previous laptop does not pack a powerful CPU, GPU, operating system, and software requirements.

It is also pertinent to mention that predictive models and dataset operations in machine learning require reliable hardware and software configurations for a seamless experience. That is why you need to understand that a typical office desktop may not be sufficient for a machine learning job.

The availability of plenty of devices from different top-notch brands complicates the process of selecting a decent laptop. Not only that, you will have to take care of lots of things when it comes to a device for machine and deep learning. Machine learning requires a better CPU, impressive GPU, higher disk space, enhanced RAM, and an improved operating system for a performance-oriented device.

7 Best Laptops For Machine Learning

We have also included a detailed buyer guide in the article that answers many of your queries related to machine learning and the device you require for it. The guide encompasses everything that you may want to ask about in terms of features, portability, operating system, and other related things in machine learning.

Best Laptops For Machine Learning

We have reviewed a detailed list of the best laptops for machine learning in this article after analyzing many potential choices. It would be best if you went for the one that perfectly matches your requirements and budget.

Image Product Feature Price
Top Pick



Lenovo ThinkPad

Highly efficient Xeon E3 CPU.
Bigger Screen.
Fingerprint Readers.
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Runner-up




Acer Predator Triton 700 PT715-51

15.6-inches full HD display
32 GB RAM
512 GB disk space
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MSI Creator 17M 17.3″

Core i7-9750H processor.
GTX1660Ti graphics card.
Maximum boost power of up to 4.5 GHz.
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Eluktronics MAG-15 Slim

2 TB disk space.
Exceptional graphics card.
Boost power of up to 4.5 GHz.
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Google Pixelbook Go

Highly portable.
Impressive battery life.
8th Generation processor.
Security of user data.
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Lenovo Legion 5

Ryzen 7 4800H CPU
16 GB RAM
GTX 1660Ti
Efficient thermal management
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2021 Newest HP 14″ Laptop

Multi-touch support.
AMD Ryzen 3 3250U CPU.
8 GB RAM.
256 disk space.
Check Price

1. Lenovo ThinkPad P71 Workstation Laptop

Lenovo ThinkPad P71 Workstation Laptop - Best Budget Laptops for Machine Learning in 2022

The first on our list is the champion of all when it comes to offering a reliable machine learning experience. The inclusion of 1 TB SSD disk space, 64 GB RAM, high-resolution 17.3-inches 4k screen, 6 GB GPU, and many other exciting features make it stand out from others on the market.

Intel Xeon E3 processor

The availability of the Intel Xeon E3 processor is what makes the difference in this speed. It provides a clock speed of up to 4 GHz in boost mode. Regardless of the complexity of algorithms and computation models in machine learning, this thing will surprise you in every aspect.

High-scale resolution

The 3840×2160 resolution on the 4k display is everything a user requires from a top-notch screen. The anti-glare screen in the device gives the best performance when combined with a superb NVIDIA Quadro graphics card. Not only that, but the high-quality graphics experience on the device is also the result of 6 GB dedicated VRAM in the machine.

64 GB RAM

The inclusion of an extraordinary 64 GB ram in the device provides sufficient future-proofing. You can do almost any complex computation with the help of the speed offered by this RAM. Besides, a higher RAM in the device also helps in multitasking and the seamless operation of the machine.

In our opinion, this is the perfect machine learning laptop for you if you can afford its higher price. The provision of extraordinary features such as 1 TB SSD disk space, 4k display, 64 GB RAM, highly efficient 6 GB VRAM, and many other features justify our claim.

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Pros
  • 4k IPS display
  • 1 TB SSD disk space
  • 64 GB RAM
  • Highly efficient Xeon E3 CPU
  • Bigger screen
  • Fingerprint Readers
Cons
  • Higher price

2. Acer Predator Triton 700 PT715-51-71W9 Ultra-Thin Laptop

Acer Predator Triton 700  - Best Laptops for Machine Learning

The next on our list is the beast from Acer that sets standards when it comes to offering a satisfying machine learning experience. It also packs highly advanced features that make the device stand out from its competitors.

What we liked most about this machine is the availability of an 8 GB dedicated VRAM in the graphics card that gives out stunning performance. Other things such as 32 GB RAM, 512 GB SSD disk space, and a 15.6-inches full HD display with a better refresh rate are also commendable.

8 GB VRAM

The graphics card of GTX 1080 with a dedicated VRAM of 8 GB is what we consider the defining feature of this device from Acer. The graphics card is overclockable, which means you can easily enhance the device’s clock speed and efficiency. The MAX-Q design is the latest in the market that helps create complex computing models.

G-Sync technology

The top-notch refresh rate of the screen is the result of G-Sync technology in the device. You will enjoy a better display as a result of a 120 Hz refresh rate. The maximum resolution on the screen is 1920*1080, which is enough for a crystal clear view.

32 GB RAM

Another thing that distinguishes the device from the rest of the others in the market is the inclusion of 32 GB RAM in the hardware. The 32 GB RAM is also an instance of future-proofing by the manufacturer. Additionally, you will get a disk space of 512 GB that helps store many computing models and files on the computer.

In our opinion, this predator model from Acer is the runner-up on the list. The availability of 32 GB RAM and G-Sync technology for a better display, 15.6-inches display, 8 GB VRAM, 120 Hz refresh rate, and 512 GB disk space are the defining features of the device.

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Pros
  • 8 GB VRAM
  • G-Sync technology
  • NVIDIA GTX 1080
  • 15.6-inches full HD display
  • 32 GB RAM
  • 512 GB disk space
Cons
  • The fan in the CPU needs improvement.

3. MSI Creator 17M 17.3″ 120Hz FHD Creator Laptop

MSI Creator 17M - Cheapest laptop for machine learning 2022

The third on our list is the champion from the MSI store that packs exciting features for commendable performance. The 17.3-inches high-definition display offers a better resolution of 1920*1080. You will find a GTX1660Ti graphics card for a perfect graphics experience. The Core i7-9750H processor in the machine provides a clock speed of up to 4.5 GHz. The device also performs exceptionally well in terms of connectivity options.

Large screen

If you are looking for a large screen size with a limited budget, this one from the MSI store is a perfect choice. The 17.3-inches screen offers a maximum resolution of 1920*1080. It also provides a better refresh rate of 120 Hz with an IPS display that counts a lot in providing a seamless learning experience.

GTX1660Ti graphics card

As explained in the buyer’s guide, a highly efficient graphics card counts a lot in providing a seamless machine learning experience. A GTX1660Ti graphics card’s availability coupled with a 6 GB VRAM ensures the device does not lag in delivering a seamless computing experience.

Core i7-9750H processor

The Core i7-9750H processor in the device provides a base speed of 2.6 GHz. You can boost the base clock speed of the processor up to 4.5 GHz. The CPU may not be an example of future-proofing, but it satisfies machine learning.

In our opinion, the 17.3-inches screen within this budget is the defining feature of this device from the MSI store. It offers a better refresh rate of 120 Hz with excellent resolution. Additionally, you will love the core i7-9750H processor, GTX1660Ti graphics card, and multiple connectivity options are the device’s defining features.

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Pros
  • Large screen
  • 120 Hz refresh rate
  • core i7-9750H processor
  • GTX1660Ti graphics card
  • Maximum boost power of up to 4.5 GHz
Cons
  • Poor thermal management

4. Eluktronics MAG-15 Slim & Ultra Light laptop

Eluktronics MAG-15 Slim & Ultra Light laptop - Best laptops for machine learning and deep learning

Eluktronics laptops are also impressive in machine learning. The 6-core processor in the machine provides a maximum clock speed of up to 4.5 GHz. The graphics card of RTX 2070 in the device offers an exceptional graphics experience. Additionally, you will love the 64 GB RAM, coupled with a 2 TB SSD, which helps deal with complicated algorithms involved in machine learning.

6-Core processor

The 6-core processor from Intel provides a maximum boost power of up to 4.5 GHz. You can efficiently deal with complicated algorithms and models involved in machine learning with this i7 processor. Besides, the clock speed is sufficient for supporting high-end games, including PUBG, the Witcher, and Far Cry.

RTX 2070

The availability of an RTX 2070 graphics card from NVIDIA coupled with an 8 GB VRAM provides exceptional performance in highly complex computations and projection models based on multiple data sets. Moreover, the screen also offers a better refresh rate of 144 Hz that enables a crystal clear view without any lag.

Sufficient disk space

The 2 TB SSD disk space in the laptop is an instance of future-proofing in the device. The 1 TB disk space also seems sufficient to deal with multiple projection models and algorithms involved in machine learning. However, Eluktronics has done future-proofing by giving a 2 TB disk space in the device.

In our opinion, the 8 GB dedicated VRAM in the graphics card is the defining feature of this Eluktronics machine. The inclusion of a 6-core processor with impressive boost power, a 2 TB disk space, RTX 2070 graphics card, and 64 GB RAM is the distinguishing aspect of this laptop.

Pros
  • 8 GB VRAM
  • 64 GB RAM
  • 2 TB disk space
  • Exceptional graphics card
  • Boost power of up to 4.5 GHz
Cons
  • Battery life needs improvement.

5. Google Pixelbook Go – Lightweight Chromebook Laptop

Google Pixelbook Go - Lightweight Chromebook Laptop for machine learning and data science

There are a lot of plus points of this machine from the Google store. What we like most about this item is the reduced weight of the device which makes it a highly portable machine. The battery life of the gadget is also impressive. The Titan-C security chip on the device secures your data from hackers. Additionally, the 8th Generation Intel processor boosts the overall performance of the device.

Lightweight

If you are looking for a superior-quality lightweight laptop with impressive overall features, you may consider buying this one from the Google Store. Unlike many others on the market, the designers of this laptop have paid particular attention to reducing the device’s overall weight. As a result, it contains an excellent blend of length and thickness that makes this device a highly portable option.

Top-notch battery performance

Another commendable aspect of the device is its highly reliable battery performance. A highly portable device with low battery performance is worthless because you cannot carry a charger with you all the time. That is why this device ensures a highly reliable battery performance that translates into better portability. Moreover, the device gets charged easily and lasts longer than many others on the list.

Security

Gadgets from Google are always famous for the security they offer to protect the personal data of users. In the same way, you will notice a Titan-C security chip coupled with a highly efficient anti-virus that ensures your device’s security.

In our opinion, Google’s device is famous for the portability it offers. The device is easy to carry due to its excellent blend of length and thickness of the device. The battery life is also impressive, and the device gets charged in less time. Additionally, the laptop protects users’ information due to a security chip in the machine.

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Pros
  • Highly portable
  • Impressive battery life
  • 8th Generation processor
  • Security of user data
Cons
  • The quality of the screen needs improvement.

6. Lenovo Legion 5

Lenovo Legion 5 - Best laptops for machine learning and artificial intelligence 2022

The legion 5 from Lenovo offers high value for your money. The provision of an AMD Ryzen 7 4800H processor, 16 GB RAM coupled with a 512 GB disk space, excellent picture clarity, and a GTX 1660Ti graphics card justify our claim.

AMD Ryzen 7 4800H

The availability of an AMD Ryzen 7 4800H processor in the device enhances this device’s desirability from Lenovo. It provides sufficient processing speed with an excellent clock speed that helps you deal with complex computing models in machine learning.

GTX 1660Ti graphics card

The graphics card in the device may not be the perfect example of future-proofing, but it does the job in a satisfying way. The GTX 1660Ti GPU in the machine offers a seamless deep learning experience without any lag. You will appreciate the speed and display of models that result due to the GPU.

Efficient thermal management

The most common problem associated with many deep learning laptops is inefficient thermal management in the devices. As in machine learning, you have to deal with tons of data that increases the device’s temperature. However, the second version of Legion Coldfront on the device helps maintain the machine’s temperature in an optimum way.

In our opinion, this legion 5 from Lenovo offers a high value for your money. It provides commendable features regardless of a lower price tag.

Pros
  • Ryzen 7 4800H CPU
  • 16 GB RAM
  • GTX 1660Ti
  • Efficient thermal management
Cons
  • The sound quality of the speakers is not impressive.

7. 2021 Newest HP 14″ Laptop

2021 Newest HP 14" Laptop - Best budget laptops for machine learning in 2022

The last on our list is famous for the quality of the touchscreen on the device. The LED screen on the device provides a 10-finger touch support that translates into the device’s easy operation. Moreover, it offers basic features such as 8 GB DDR RAM, 256 GB disk space, and a Ryzen 3 3250U CPU.

LED touch screen

The provision of a highly efficient LED-touchscreen in the device enhances the desirability of the device. The screen offers multi-touch support and works perfectly for remote work.

8 GB DDR RAM

The availability of an 8 GB DDR 4 RAM in the device is sufficient for essential machine learning. You can do many computations with this RAM without any lag.

AMD Ryzen 3 3250U

The AMD Ryzen 3 3250U CPU in the device provides sufficient processing power. You can easily do multiple computations with complex algorithms using the CPU.

In our opinion, the provision of a highly responsive touchscreen is the defining feature of the device. Hardware configurations allow you to do essential machine learning without any hassle.

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Pros
  • Multi-touch support
  • AMD Ryzen 3 3250U CPU
  • 8 GB RAM
  • 256 disk space
Cons
  • Smaller screen size
  • Graphics quality needs improvement.

Buyer’s Guide for the Best Laptops For Machine Learning in 2022

Things to consider before you make a final choice

Before you step into the pursuit of looking for a perfect laptop for machine learning, you need to take care of the following things:

1. RAM

One of the most profound factors that should affect your purchase decisions is RAM. Machine learning is not the same as an ordinary administrative task performed with a computing device. It requires heavy RAM for the efficient handling of algorithms involved in machine learning.

We would strongly recommend you to go for at least 8 GB RAM models. The provision of this much random access memory is sufficient for a beginner-level learner.

However, the greater the RAM, the more efficient it will be for you to run complex machine learning programs. In this context, the availability of 16 GB or higher RAM would be a great plus for you.

2. Graphics Requirements

The second important factor that should affect your purchase decisions is the quality of the device’s graphics card. A device that lacks a powerful GPU is worthless when it comes to machine learning. The presence of multiple matrices, complex calculations, and plenty of neural network requirements in machine learning demands a powerful GPU in the device that will translate into a better and more efficient learning experience.

An advanced GPU will reduce the computation time regardless of the complex algorithms of machine learning. For this purpose, we would advise you to go for the latest NVIDIA GPUs that are second to none when it comes to a reliable graphics experience.

3. Processing Speed

Having a top-notch processor on the device with sufficient clock speed is beneficial for a seamless machine learning experience. A high-quality processor provides a processing speed that enables easy computations without any lag. That is why we recommend you to go for at least an Intel Core i7 processor because the processors provide sufficient processing power and get the job done for you.

However, an Intel Core i5 processor may also suit some simple computing jobs in machine learning.

The provision of a higher CPU would be future-proofing. Even some devices are coming with exceptional 10-core processors that make processing complex algorithms a breeze.

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4. Disk space requirements

Storage might not be an issue for many learners these days because cloud storage has eased the process. However, we would recommend that you look for a device that comes with an SSD 256 GB or higher.

The provision of a higher disk space ensures you get things done smoothly and efficiently. A high storage capacity helps store multiple files besides facilitating multitasking on the machine.

5. Portability

Last but not least, the portability of the device also means a lot for many buyers. If you are looking for a portable device, you may go for a smaller screen size. A portable device would also have some form of compromise on the processor as heavy processors require extra space in the hardware. All in all, portable models will have smaller screen sizes and little processing power than devices that are not so portable.

Conclusion

We have reviewed many top-rated laptops for machine learning in this guide. The following conclusive remarks about our top-picks would further help you understand our top-picks well;

Lenovo ThinkPad P71 is the champion of all. The inclusion of 1 TB SSD disk space, Xeon E-3 CPU, 64 GB RAM, a 4k screen, and a 6 GB GPU make it stand out from others on the market.

Acer Predator Triton 700 is the runner-up. The availability of G-Sync technology for a better display, 15.6-inches display, 8 GB VRAM, and 120 Hz refresh rate are the defining features of the device.

Lenovo Legion 5 offers high value for money. You will find an AMD Ryzen 7 4800H processor, 16 GB RAM coupled with a 512 GB disk space, excellent picture clarity, and GTX 1660Ti graphics on this machine.

FAQs

Which laptop is best for machine learning?

In our opinion, the Lenovo ThinkPad P71 is the best one. It contains a perfect combination of features that make it stand out from the rest.

How much RAM do I need for machine learning?

You should look for at least 8 GB of RAM in laptops for machine learning.

Is machine learning hard?

Machine learning is easier for people who are creative, hard workers, and experimenters.