5 Best Laptop for Deep Learning [Machine Learning]- 2024 Review

Best Laptop for Deep Learning

Deep learning and AI are growing, and this requires a more powerful infrastructure to handle any new releases.

As a machine learning enthusiast, data scientist, or deep learning specialist, you need a performance-oriented laptop that can handle any projects or runs simultaneous processes.

While there is no laptop that is as powerful as the human brain, there are several laptop brands with excellent specifications that can give you value for your money.

In this article, we review the best laptop for deep learning that have strong GPU and CPU combination, big storage, big RAM capacity, and other specs that are required for deep learning.

Here is a summary of our top picks:

  • MSI GE63 Laptop- Editor’s Pick
  • Dell G5 Laptop- Most popular
  • Acer Predator Triton 500- Best Value

Recommended Laptop Specifications for Deep Learning

When buying a laptop for deep learning, confirm that it meets the following recommended specification:

  • Processor: 10th Gen Core i7 or equivalent
  • RAM: 16GB RAM +
  • Storage: 512GB NVMe PCIe SSD
  • Graphics: Dedicated NVIDIA GTX 16 Series or equivalent
  • Screen Res: FHD (1080 x 1920)

Best Laptop for Deep Learning Reviews- Top Picks

1. MSI GE63 Raider RGB-609

While MSI GE63 is one of the high-end laptops in the market, it includes all the premium built-ins that make machine learning possible.

For starters, this is one of the well-built laptops that you can buy for deep learning. It’s made of steel. While that means it’s somewhat heavy, it’s the most durable model your money can buy.

The keyboard is sleek, with a wide surface that gives you a good enough travel area. With a battery that lasts up to 8 hours on a single charge, you’ll have to charge this at least twice a day to get through a 12-hour working day.

This machine gets its processing power from the 8th Generation Intel Core i7-9750H processor, which is the latest in the computing world. It has 16GB RAM, with an option to upgrade RAM to 64GB.

Further, it features a 256GB NVMe SSD and a 1TB SSD, making it fast and with sufficient storage for all your AI projects.

The MSI’s anti-glare technology makes the display of the laptop easy to interact with for an extended period. And the razor-thin bezels, together with the 82:18 screen-body ratio, give you more display real estate for excellent display performance.

You get all the necessary ports that you’ll need for connectivity. These are a USB 3.1 port, an HDMI port, 3 USB Type-A ports, and an Ethernet port.

This laptop even has cooling vents, which ensure that it doesn’t heat up from extended use.

One of the coolest premiums that you get from this laptop is the access to the MSI app, which allows you to get access to mobile games straight from the laptop. Though not a must-have feature in a deep learning laptop, you’ll find it quite useful in the moments when you want to take a break from work and unwind a bit.

2. Dell G5 Laptop

Dell G5 isn’t just a gaming laptop.

Its built-in features also make it an ideal laptop that you can buy for deep learning. Going for almost half the price of the MSI GS65 laptop, Dell G5 is the most ideal option if you need a laptop under $1500.

To begin with, this laptop’s 15.6 display is big enough to give you the right view of the content you intend to interact with during work.

Moreover, it uses FHD technology to enhance content clarity, so the images processed and rendered by the NVIDIA GeForce GTX 1650 graphics appear as clear as possible.

Powered by Intel’s Core i7-0750H processor and 16GB RAM, this laptop doesn’t slow down or hang even when put to the most demanding use.

The 256GB SSD and 1TB HDD storage gives you enough storage space to store as much data as you want. And the 2 regular USB ports and 2 USB 3.0 ports allow you to transfer data between external storage and the laptop much faster.

Fully equipped with the NVIDIA GTX 1650 graphics card, this machine can easily handle even the most complicated graphic. Thanks to the processing speed, this laptop can easily handle even the heaviest dataset and the most complex algorithms in machine learning.

Dell G5 isn’t a lightweight laptop. In fact, you will notice the weight a few minutes after you stuff it in your laptop’s backpack. But this doesn’t seem to be a deal-breaker for many people, so it shouldn’t be to you either.

You get about 8 hours of battery runtime on a single charge. So you’ll have to charge it twice if you want to get through half a day of working without it plugged in to a power source. And if anything, that means the battery life is somewhat weak.

3. Acer Predator Triton 500

Gamers have used Acer Predator Triton 500 for months to get an immersive experience.

But this isn’t a laptop that you can use only for gaming. It’s also a powerful gizmo that you can bring to a machine learning workplace.

And if you can combine both gaming and deep learning projects, that’s when you can slap your chest for taking full advantage of such a powerful laptop.

From a design standpoint, this one is a well-built machine that can stand up against elements.

Its 15.6-inch display means you get enough real estate to do your work. The display is FHD, so you’ll view and interact with data with the best clarity possible.

The backlit keyboard gives you a decent travel area to make input easy. And the touchpad is responsive and accurate.

When it comes to performance, this laptop has what it takes to process tasks at a desirable speed. Its Intel Core i7-7700HQ processor easily handles even the most complicated machine learning projects.

And the 16GB RAM ensures that the laptop doesn’t slow down or hang in the process. The 512GB SSD is good enough to store your files.

Then there’s the NVIDIA GeForce GTX 1060 graphics card, which comes fully equipped with a 76GB GDDR5 VRAM.

This ensures smooth processing of graphics, so that images output on the screen appear smooth and consistent, without traces of screen tearing or instances of display lags.

While Acer’s design and performance of the Predator Triton 700 are on point, the battery life is rather disappointing, to say the least.

You expect more juice from the battery for the price point at least. But you can only use it for up to 5 hours on a single charge. To get through a 12-hour working day, you’d have to plug it into a power source 3 times a day.

4. Dell Inspiron i5577 Laptop

Dell Inspiron i5577 is one of the multipurpose laptops that you can buy for deep learning.

Whether you’re already a professional machine-learning specialist or you’re a student taking a major in this field, this laptop can help you get the job done.

The Inspiron i5577 has a display similar to the models in the same class. At 15.6 inches, the screen provides enough real estate for interaction.

Moreover, Dell goes Full High Definition with the display, allowing you to view and interact with all media types in high resolution.

To ensure you use the laptop for an extended period without worrying about eye defects, this laptop includes anti-glare technology, which is quite effective in reducing eyestrains.

Dell Inspiron i5577 doesn’t disappoint when it comes to managing data. In fact, it uses Intel’s Core i7-7700HQ Quad Core processor to handle even the most demanding tasks. Add the 16GB DDR4 RAM, and what you get is a Dell laptop model that simply won’t slow down.

The 4GB NVIDIA GTX 1050 ensures object clarity so you don’t have to struggle viewing content on the screen. Because this graphics card promises crystal clear visuals, you end up having a truly immersive on-screen experience, exactly as the Dell brand claims.

Weighing about 5.66 pounds, this Windows 10 laptop isn’t the lightest in Dell’s product line. But it’s still easy to pack in a backpack and carry around.

Of course, there are laptops that weigh less than this. Before you look beyond a model like the Inspiron i5577, though, make sure the alternative is good enough for deep learning.

5. Lenovo Legion Y540

Speed is key when it comes to deep learning.

And Lenovo Legion Y540 takes the cake for being fast enough to process tasks simultaneously.

With its 4.5GHz clock speed from Intel’s Core i7 processor, this is one of the fastest laptops around.

The 16GB RAM adds to the processing, making sure that you don’t run into performance lag as you work your head around the project at hand. The 512GB SSD and the 1TB HDD ensure you have enough storage space for your project.

Lenovo invests in a Full HD display so that you can enjoy the benefits of crisp visual clarity. The IPS gives you a better viewing angle, not to mention it includes LED backlighting that ensures minimal power consumption.

Add the anti-glare screen technology to this, and what you get is a laptop that you can use for an extended period without worrying about eye strain.

To ensure the best graphical performance, this laptop uses the GTX 1650 graphics card, which is one of the best builds by NVIDIA.

Buyers Guide: Choosing a Laptop for Deep Learning

When buying a laptop for deep learning or machine learning, there are certain important factors you should consider. Here is a quick overview of these factors:


If you value the remote working culture, you may want to buy a portable laptop that you can carry in your backpack. There are decent laptops that pack more power to run your projects and are lightweight. The laptops we listed are portable, and they are durable enough to withstand external pressure. If portability is not a factor for you, you should consider buying a personal computer.


You should buy a laptop with the latest type of RAM, and it should have a large capacity of RAM to run your software and computer processes. A good laptop for machine learning should have at least 16GB DDR4 RAM, but it would be desirable to have 32GB RAM to future-proof your laptop. Laptop RAM is an upgradable component, and some of the laptops on our list can be upgraded to 64GB RAM.


Machine learning demands a faster processor that can handle multiple processes without breaking. At a minimum, you should go for a laptop with the 8th Gen Intel Core i7 processor.

However, higher is better, and it can help process your laptop faster and handle recent software versions. For the best performance, buy a laptop with the latest 11th Gen Intel Core i7 or i9.

If you prefer AMD processors, buy a laptop with the recent AMZ Ryzen 7 or 9 processor, which can handle resource-demanding functions like 3D Modeling and Rendering, Video editing, and Machine learning.


GPU is an important factor since it enables parallel processing. Deeping learning requires neural networks to operate, and this makes it computationally intensive. Getting a laptop with a robust graphics card can support your CPU processes, and enable multiple threads to run simultaneously. In the absence of the right GPU, these processes could take days or weeks; with a robust GPU, these processes take minutes or hours.


A good laptop should have at least 512GB SSD storage to store your files. SSD storage is preferred over HDD since it can handle multiple data sets faster than HDD. Additionally, SSDs are light, more durable, and use less power than HDDs, which means less energy consumption.  

If you have sufficient cloud storage to store your AI projects, the laptop you buy should not be less than 256GB SSD. This can help you store your personal files, and help with quick booting.


If you are a Windows person, get a laptop with the latest Windows 11 OS or Windows 10 OS. Mac OS is also a good option if you want a more secure OS.

Battery life

If you prefer to work outdoors or in areas without a power supply, you should get a laptop with long battery life. A good laptop for machine learning should have at least 8 hours of battery life, but more is desirable.


Tom is a network engineer and a tech consultant. He spends his time solving networking problems while keeping tabs with the latest in the technology field.

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