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.
Contents
- Process to Filter Out Best of Laptops for Machine Learning While Making Decision
- Best Laptops for Machine Learning in 2022
- 1. Razer Blade 15 Gaming Laptop – Editor’s Pick
- 2. ASUS ROG Zephyrus GX501 – Selected As Runner’s Up Choice
- 3. ASUS VivoBook K571 – Developer’s Choice for Deep Machine Learning
- 4. ASUS ROG Strix – Best Laptop For Machine Learning
- 5. Lenovo Legion 5 15 Gaming Laptop – Latest & Updated Pick For Deep Learning Applications
- 6. Dell G3 Gaming Laptop
- 7. MSI GS65 Stealth-002 Gaming Laptop – Best Budget Laptop For Machine Learning
- FAQs – Best Rated Laptops For Deep Learning & Machine Learning
- 1. Which is the best laptop for machine learning?
- 2. How do I choose a laptop for machine learning?
- 3. What kind of laptop do you need for machine learning?
- 4. Is MacBook good for machine learning?
- 5. Are gaming laptops good for Machine Learning?
- 6. Is it better to use a laptop or a desktop for machine learning tasks?
- 7. How to make sure that Machine Learning laptops do not heat up?
- 8. Why are machine learning laptops expensive?
- Conclusion
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:
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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.
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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.
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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.
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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.
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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.
Best Laptops for Machine Learning in 2022
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 – Editor’s Pick
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 deep 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.
So yeah, with these configurations in the place, no one would neglect a laptop like this when they’re truly concerned about their need of one of the best laptops for deep learning.
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.
All in all, these are the things that our experts took a bit seriously and decided that we should consider this laptop among the list of bests, and we’re sure that our experts don’t miss a thing when they’re serious enough about something.
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
- Battery life is above expectations
- Features capable enough to provide it a place among best laptops for deep learning.
Cons
- Backlight bleeding is very visible
2. ASUS ROG Zephyrus GX501 – Selected As Runner’s Up Choice
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. Yeah, when it’s about ML, AI or Data Science this laptop never fails to secure a place among top runners.
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.
- Battery life that won’t let you resist from buying it.
Cons
- A little on the expensive end
3. ASUS VivoBook K571 – Developer’s Choice for Deep Machine Learning
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. Well, we don’t think that we need to mention that it could do other tasks like watching movies laptop and stuff, but yeah, anything that’s lighter than deep learning it could perform those tasks as well.
Pros
- Top Generation Intel Core Processor.
- 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
4. ASUS ROG Strix – Best Laptop For Machine Learning
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.
And yeah, it’s also ideal for animation, video editing and other high RAM demanding tasks that don’t belong to data science or deep learning segment.
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. Yeah, with this laptop for deep learning one won’t ever need to check that how to improve their laptop’s performance and power efficiency.
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.
When budget is your concern but you won’t like to compromise on the quality, you should think about this laptop. Yeah, it’s most affordable yet heavily designed for hardcore users.
Pros
- Ideal laptop for deep learning and data science.
- Optimal performance with delays
- Expansive and highly responsive display
- Lightweight and sleek design for usage on the go
- Low-draining battery life
Cons
- Display quality and resolution needs working
5. Lenovo Legion 5 15 Gaming Laptop – Latest & Updated Pick For Deep Learning Applications
Lenovo Legion 5 15 is the best gaming laptop that comes with high-speed performance and excellent storage for machine learning. This will fall under one of the best laptops for machine learning and gaming purposes, as it is known for its uncompromising performance and storage capacity.
Features
Lenovo Legion 5 15 laptop comes with powerful features in all aspects. It comes with a 15.6 inch full HD screen that supports 1920*1080 screen resolution. The IPS-equipped display is the best choice for gamers and programmers. You can expect amazing visual and color Clarity with this display.
The keyboard is RGB backlit. The laptop comes with a 720p built-in web camera that has an e-shutter for privacy. In terms of connectivity, it has Bluetooth 5.0 and Wi-Fi 6 for high-speed data transfer and internet. The laptop also has multiple ports including RJ45 Port, USB C port, HDMI 2.1 port, and 4 USB 3.0 ports.
The laptop comes with a high-end noise-cancelling mic. The refresh rate of this laptop is 165 Hz, which will be a great advantage for programmers. It is portable as it weighs about 5 pounds and is pretty easy to carry.
Performance
The laptop is equipped with AMD Ryzen 7 5800H mobile processor to deliver an uncompromising and uninterrupted performance while gaming and programming. It uses GeForce RTX 3050Ti graphics for providing in-depth and Rich visuals. This will make Gamers and programmers happy as they can enjoy the best visual experience.
The 16 GB DDR4 RAM and 512 GB NVME SSD Storage space will let you carry out machine learning activities with ease.
Why it’s better?
The device is an apt choice for both Gamers and machine learning persons as it comes with great performance and efficient features at a good price. When compared to other high-end laptops, this one is available at a much affordable cost. It also comes with additional features like a backlit keyboard and webcam with a privacy shutter.
With a 15.6-inch widescreen and excellent storage capacity with a powerful processor, you can expect the best performance from the laptop for machine learning. It is a great pick for gamers as well.
Who is it ideal for?
The laptop is undoubtedly ideal for people who are dealing with machine learning programs and confidential data. It is also a great choice for hard-core gamers. People who travel very often can also pick this one as it is easily portable.
Pros
- 15.6 inch Full HD screen
- Powerful processor for high performance
- Web camera with shutter for privacy
- Has a backlit keyboard
- High storage capacity with 16GB RAM
- Durable design with sturdy construction
- Affordable cost
Cons
- Does not use Intel processor
6. Dell G3 Gaming Laptop
Gaming laptops are generally high-power devices, which is why they can be used across a large variety of tasks, such as running engineering software to watching movies to even working on machine learning programs. One such example of a gaming laptop that is also among the best machine learning laptops is the Dell G3 gaming laptop. While Dell generally doesn’t really release gaming laptops under their own brand but instead puts them under Alienware, this one is a rather unique Dell Gaming laptop. Let us take a closer look at why we think this makes for a great laptop for machine learning purposes:
Features
The Dell G3 gaming laptop comes out into the markets with an 8th-generation Intel Core i5 (8300H) processor, which runs on four cores and can be boosted up to 3.9GHz. This isn’t really a top-of-the-line CPU like an i7, but is still very powerful for casual gamers. This is also a great laptop for Machine Learning.
Along with the 8th-gen i5 CPU, the Dell G3 also features an NVIDIA GeForce GTX1050 GPU, which is a powerful graphics card, and the heart of this laptop, making it a true blue gaming rig. However, other than helping you play games, having a good GPU also ensures that all your machine learning tasks happen well. The GPU comes with a built-in 4GB VRAM which makes sure it doesn’t affect the system memory.
The laptop features 8GB RAM and 256GB SSD storage. Both of these, however, can be expanded later based on your needs. This laptop runs on the Windows 10 OS, and it’s almost certain that you can run Windows 11 on it as and when it becomes available. Another thing that we would like to talk about before we discuss the display is the audio quality here. The laptop comes with Waves MaxxAudio Pro speakers placed on the front and they pack in quite the punch!
Lastly, there’s a 15.6 inch display on the laptop, which comes with an anti-glare screen, making it good to use even in bright lighting conditions. The laptop comes with a backlit keyboard, and the keys are pretty well spaced. The 15.6-inch display also ensures that you have enough space to fit in a number pad on the side. The touchpad is also pretty wide and comfortable.
Performance
In terms of performance, the Dell G3 Gaming laptop delivers on all fronts – firstly, it is a great gaming machine for someone who enjoys casual gaming. Know that this isn’t something that is meant for hardcore gamers, as there are laptops which come with a better processor as well as a better GPU which pro-gamers tend to generally choose. However, for casual gamers who play up to 2 to 3 hours a day, this should suffice.
The other front where this laptop does really well is when it comes to the processing-intensive tasks such as work involving machine learning, natural language processing, and working with big data. These are the tasks where the CPU and the GPU are both put to test, and this laptop is one of the better options in the sub-$1000 price point for them.
Some users might worry about whether this intense processing tends to heat up the laptop. The answer to that is – no. While it does generate quite a bit of heat, the laptop doesn’t get heated up, as there are dual fans that ensure that all the heat is propelled out. There are sufficient heat vents for the heat to exit the laptop and you can play your games as well as work on your ML tasks with ease without having to worry about your laptop getting hot.
Why it’s better
The first benefit that you get her is that this is a multi-purpose laptop. You can play all your favorite games on it while you can also run all your complex ML and AI tasks on it. This is also a good laptop for coders as the powerful CPU + GPU ensure that your code can compile on it faster than regular laptops. What also makes it better compared to many other laptops out there is that it does not heat up too much either. The dual fan-based cooling methods ensure that all your heat is pushed out of the system.
Who is it ideal for?
The laptop is ideal for people who are multitaskers. By day they might be working on Machine Learning projects, and by night they want to play some games. This is also a good device for someone who wants to work on ML tasks but doesn’t want to spend too much on buying a high-power laptop. Priced well under $1000, the Dell G3 gaming laptop has got something for everyone!
Pros and Cons of Dell G3 Gaming Laptop
Pros
- Can be used to play games as well as work on Machine Learning tasks
- Keyboard is pretty smooth to type on and features backlit keys
- Dual-fan based heat dissipation system
- Lots of connectivity options
- Waves MaxxAudio Pro speakers on the front deliver great sound
Cons
- The bezels on the display are rather thick and could’ve been narrowed down
7. MSI GS65 Stealth-002 Gaming Laptop – Best Budget Laptop For Machine Learning
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.
Above all, MSI is a brand from which one can’t resist especially when their purpose is to buy the best laptop for deep learning purposes. And yeah, with a display 15.6 inch there’s no chance at all. Isn’t it so?
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
FAQs – Best Rated Laptops For Deep Learning & Machine Learning
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.
5. Are gaming laptops good for Machine Learning?
Yes, gaming laptops make for great machine learning laptops because they generally feature a powerful CPU+GPU combination, which is essential for ML tasks too. Besides, gaming laptops generally also carry a powerful cooling mechanism, which is another plus point for those working on ML. Gaming laptops are also good for tasks such as video editing, compiling codes, working on AI and NLP projects, etc, as all of these tasks require intense processing power, which regular laptops might not carry in them.
6. Is it better to use a laptop or a desktop for machine learning tasks?
No, this is a very old-school way of thinking that desktops are more ‘powerful’ than laptops. Laptops today carry an equal amount of processing power – with pretty much the same CPUs and the same GPUs as high-end powerful desktops do, making them equally competitive. If at all, laptops actually have an advantage of being able to be carried around and that of running on batteries, etc. It would be very unfair to say that desktops are better than laptops when it comes to Machine Learning based tasks as both perform equally well.
7. How to make sure that Machine Learning laptops do not heat up?
First off, begin by knowing that yes, there will be heat generated because these tasks do require quite a bit of processing power and will cause your CPU and GPU to run at peak performance. Next, make sure that you’re buying a laptop that has sufficient heat dissipation systems in place. Ensure that you are keeping all the vents clean so that the heat does not remain trapped in. Lastly, if you still find your laptop is getting hot after that, try and use it in an air-conditioned room, or use an extra cooling pad below it.
8. Why are machine learning laptops expensive?
Machine learning laptops are generally expensive because when it comes to ML-based tasks, you need to provide high-quality components such as high-end CPUs and GPUs, as well as a large amount of RAM. These are generally the three most expensive components of any PC that you buy and the higher up you go in terms of these specs, the more you have to pay. However, if you go through our list, you can also check out some sub-$1000 options that we have made available and reviewed there.
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.