10 Best Laptop for Deep Learning in 2022

Laptop for Deep Learning
Acer Predator Helios 300 Gaming Laptop

  • NVIDIA GeForce GTX 1060
  • 1920 x 1080 resolutions
  • 7 hours battery life
Laptop for Deep Learning
Microsoft Surface Book 2 15″

  • NVIDIA GeForce GTX 1060
  • 8th generation
  • 512 GB of storage
Laptop for Deep Learning
ASUS VivoBook K571 Laptop

  • 120Hz Nano edge Display
  • NVIDIA GeForce GTX 1650 4GB GDDR5
  • 16GB DDR4 RAM

You are wondering like me that Deep Learning is one of the most promising fields in Machine Learning.

No doubt Deep Learning has already brought about many new developments in image recognition, natural language processing, and other fields.

Deep learning has become a key technology in AI and has been used to enable systems to automatically learn representations from raw data. Technology is becoming more affordable every day, and more and more people are using it.

This blog will be looking at the best laptop for deep learning, which is affordable, powerful, but most importantly portable.

Image Product Feature Price
Laptop for Deep Learning
MSI P65 Creator-654 15.6″
15. 6″ UHD screen
NVIDIA GeForce RTX2070
HDD 1TB NV Me SSD 32GB
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Laptop for Deep Learning
Razer Blade 15 Gaming Laptop
144 Hz refresh rate
100% sRGB
16GB RAM
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Laptop for Deep Learning
Microsoft Surface Book 2 15″
NVIDIA GeForce GTX 1060
8th generation
512 GB of storage
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Laptop for Deep Learning
ASUS ROG Zephyrus GX501 Ultra Slim
8th-Gen Intel Core i7-8750H
GeForce GTX 1080 8GB
Thickness only 0.7″
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Laptop for Deep Learning
Gigabyte AERO 15 Classic
144Hz FHD
1920×1080 IPS resolution
Intel Core i7 9750h
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Laptop for Deep Learning
ASUS VivoBook K571 Laptop
120Hz Nano edge Display
NVIDIA GeForce GTX 1650 4GB GDDR5
16GB DDR4 RAM
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Laptop for Deep Learning
Acer Predator Helios 300 Gaming Laptop
NVIDIA GeForce GTX 1060
1920 x 1080 resolutions
7 hours battery life
Check On Amazon
Laptop for Deep Learning
Dell XPS 13 9370 Laptop
13.3 Inches screen
4K UHD screen
3840×2160 resolutions
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Laptop for Deep Learning
New Lenovo Thinkpad P17 17.3 Inch
17.3 Inches screen
Intel Xeon W-10855M Processor
32 GB DDR4 RAM
Check On Amazon
Laptop for Deep Learning
MSI GS65 Stealth-002 15.6″ Razor Thin Bezel Gaming Laptop
15.6 Inches screen
NVIDIA GeForce RTX2070
32GB RAM
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List of Best Deep Learning Laptops

MSI P65 Creator-654 15.6″

Specifications:

  • 15. 6″ UHD screen
  • NVIDIA GeForce RTX2070
  • HDD 1TB NV Me SSD 32GB
  • 3840 x 2160 Pixels resolution
  • ‎4.19 pounds weight
  • 10.24 x 15.08 x 0.69 inches dimension

This Laptop is popular among the gaming communities, especially the high-end model. One of its big selling points is its powerful K series CPU available only with one piece of hardware that’s not even sold by MSI directly.

Additionally, this Laptop also offers features like programmable keys and lighting to help customize it according to your needs.

This laptop has a stunning 15.6-inch screen size, which is perfect for viewing photos and videos. The anti-glare wide-angle view makes this LCD 4K display pleasant to look at with darker colors on top of lighter ones showing off contrast.

Speaking of graphics, the NVIDIA GeForce RTX 2070 offers you the best possible if you’re looking into deploying AI, machine learning, or Dockers projects that involve GPU-based modeling.

You won’t find better graphics than what this particular RTX provides! This laptop also comes with SSDs for the storage room.

You get a hefty 1TB of hard drive space, plus an additional socket so you can attach an extra HDD. MSI P65 is one of our top recommendations.

It comes packed with an i9 processor that boasts a clock rate of up to 4.8 GHz, and thunderbolt USB ports that help you hook up with your external devices straightaway.

Moreover, it’s compatible with wireless connectivity standards like Intel 9560 Jefferson Peak, which further helps boost its connectivity prospects.

Pros

  • Lightweight
  • Easy to use
  • High resolution
  • Excellent graphics

Cons

  • Average battery
  • Poor speaker

Razer Blade 15 Gaming Laptop

Specifications:

  • 15.6 Inches screen
  • 144 Hz refresh rate 
  • 100% sRGB
  • 16GB RAM
  • 512GB SSD

The Razer Blade is a great Ultra book™. At 15 inches, it’s exciting to use for people who love the future. This laptop has a sleek, simple design.

The Razer Blade is great for machine learning. It’s plug-and-play compatible with most major databases, making it simple to start running predictive models straight away.

It comes with a sleek aluminum unibody. This body is made for optimal performance with vapor chamber cooling. It’s also compatible with an external GPU enclosure for extra strength.

It supports dual-channel memory for SSD upgrades. The display performance of this laptop is also impressive, offering you a fully calibrated matte display with nearly 100% sRGB coverage.

Razer Blade 15 is based around Intel’s i7 processor which is fantastic for Machine Learning projects. The keyboard also has 15 individual key backlighting, enabling you to personalize your settings further.

You can load it with 16 GB RAM and a 512 GB SSD HDD to improve your machine learning workflow!

Pros

  • Slim and portable
  • High processor
  • Excellent resolution
  • High graphics

Cons

  • Average brightness
  • Costly

Microsoft Surface Book 2 15″

Specifications:

  • NVIDIA GeForce GTX 1060 
  • 8th generation
  • 512 GB of storage
  • 16 GB RAM
  • 17 hours battery

Microsoft does not need any introduction. Laptops like this one give you the kind of power and controls you need to run AI programming.

The screen on this PC is 15 inches, which gives you all the screen space you need to see everything clearly. This laptop comes with an Intel 8th generation Quad-core i7 processor.

This is very fast and efficient, giving you plenty of speed to put your laptop through its paces. You are also given 512 GB of SSD HDD, which offers quick access to files, making this a computer that is always ready for action.

The 16 Gigs of RAM ensure that you will be never stumped for memory. It offers you nonstop 17 hours of running time while simultaneously playing video.

The graphics processing that this laptop offers is also exceptional. You’ll get a GTX 1060. But not only is it a GTX 1060, but it’s the fastest surface book on the market!

It offers you four times more power than any other laptop and is the best overall choice when it comes to choosing a portable device with superb graphics quality!

Pros

  • High processor
  • Easy to handle all software
  • Excellent graphics
  • High battery

Cons

  • No Bluetooth
  • Average speaker

ASUS ROG Zephyrus GX501 Ultra Slim

Specifications:

  • 8th-Gen Intel Core i7-8750H
  • GeForce GTX 1080 8GB
  • Thickness only 0.7″
  • 512GB PCIe SSD
  • 16 GB DDR4 RAM

Choosing ASUS its processors are made with the 8th Generation Intel Core™ i7 processor at clock speeds of 3.9 GHz.

Along with that, our graphics cards carry NVIDIA GeForce GTX 1080 8GB GDDR5X memory specifically created for gameplay at its finest.

The design of this laptop is ultra-thin. Thinness is only 0.7 inches. This makes it ultra-light to possess, and that makes it more attractive to have in your possession than ever before.

The weight of this laptop is also not much, and that means one will find it easy and convenient to carry around in their hands or in a bag whether you’re on the streets or in the city.

The main specialty of this laptop is its technology. The PCIe SSD on this laptop allows you to run sequential reads fast.

Another way that it helps speed up performance is by allowing you to have 16 GB of RAM as your memory.

This lets you always keep more programs open as well as files without lag! In addition, the ROG Active Aerodynamic System helps airflow which keeps your machine cooler even after long hours of use!

Pros

  • Slim and portable
  • Supportive processor
  • Excellent RAM
  • High graphics

Cons

  • Average battery
  • Costly

Gigabyte AERO 15 Classic

Specifications:

  • 144Hz FHD
  • 1920×1080 IPS resolution
  • Intel Core i7 9750h
  • 9 hrs battery life
  • 16 GB SO-DIMM RAM

Gigabyte’s Aero isn’t any ordinary laptop. This powerful and well-designed system features a gorgeous 15.6-inch screen and Gigabyte’s ultra-thin bezel design.

If you want a machine that goes the extra mile to keep things running smoothly, one of the other great advantages this computing device has to offer is that it’s excellent to use outdoors because it has an anti-reflective display.

It comes with color calibration certification as well, which the vast majority of digital displays now do. The processor that comes with this laptop is the Intel Core i7 processor.

This laptop offers you a processing speed of up to 4.5 GHz. Its NVIDIA GeForce GTX GPU delivers additional graphics power and integrated memory helps accelerate workflow.

16 GB RAM is standard, along with 512 GB PCIe SSD HDD storage space. This laptop comes with accessories from the Intel brand. Everything from the motherboard to the cooling unit and keyboard covers comes from this company.

It has been built to work seamlessly in conjunction with Microsoft Azure and its operating system and be fully compatible with it and its applications, which we`ve all heard of before.

This laptop can be connected rapidly through these lightning 3 ports because they give superior connectivity options.

Since we`re on this topic of connectivity, one of the most beneficial aspects is how quickly you will get an internet connection through a Wi-Fi AC adapter – talk about superfast!

Besides that, what`s great regarding battery life is that you will get 9 hours of playtime with no problem with a full charge – talk about long-lasting!

Pros

  • Supportive battery
  • Excellent RAM
  • High resolution
  • Full HD

Cons

  • Very expensive
  • Average WI-FI connection

ASUS VivoBook K571 Laptop

Specifications:

  • 120Hz Nano edge Display
  • NVIDIA GeForce GTX 1650 4GB GDDR5
  • 16GB DDR4 RAM
  • 256GB PCIe NVMe SSD
  • 1920 x 1080 resolution

The VivoBook from ASUS is one of the most desired laptops for all programmers. It offers you everything you need, whether you’re using it for typing documents at work or playing the newest games on the streets in your spare time!

This ultra-thin laptop offers a full HD display plus Intel Core processing power that you can truly rely on. This laptop is designed to suit every programmer’s needs.

First of all, it displays its users with a 15.6-inch display capacity paired with full HD resolution. Besides, the laptop comes with an Intel Core i7 processor that provides its user’s device with a 4.5 GHz processing speed.

The new gaming-ready NVIDIA GeForce GTX 1650 4GB graphics card and the 16 GB of DDR4 RAM this PC has will power you through.

The next generation of storage is here with an ultra-fast 1 TB SSD HDD which is perfect for storing your games, extra files, or even movies and music, while the latest USB type-C 3.1 ports make connecting your external devices safer and faster than ever!

But don’t worry; there are also two USB types-A 2.0 ports to keep every accessory you need at bay.

This laptop is made for the best productivity, the unrivaled vividness of its bezel-less display with touch-sensing technology enables your fingers to react instantly and naturally.

The touchpad is smooth and natural to use with excellent rapid responding capability, and its low travel design helps you do handwritten notes with comfort.

Pros

  • Slim and portable
  • High graphics
  • Excellent resolution
  • Supportive battery

Cons

  • Average brightness

Acer Predator Helios 300 Gaming Laptop

Specifications:

  • 8th Generation Intel Core i7 Processor
  • NVIDIA GeForce GTX 1060 
  • 1920 x 1080 resolutions
  • 7 hours of battery life
  • 16 GB DDR4 RAM

This is an excellent laptop for anyone who needs to machine learn or program AI. This is the Acer Predator machine, and like its namesake, it’s everything you need!

It can be used by students or computer experts with an abundance of pleasure. This is a 15.6″ laptop, which means you’ll get plenty of screens space AND power!

This laptop is that not only does it feature a top-of-the-range NVIDIA GeForce GTX 1060 fullHDmodule battery is with 8 GB dedicated memory, which in our book is excellent for any game under the sun, but you also get the latest in technological innovation when it comes to processors with the 8th generation Intel Core i7 processor.

That’s why we recommend the Acer Aspire 3 A315 with its 256 GB SSD HDD, 1366×768 display, Bluetooth 4.0, USB 3.1, and stereo speakers with Dolby Digital Plus Home Theater Enhancement which will ensure smooth playback of multimedia content on your device!

Pros

  • Easy to use
  • Portable
  • High resolution
  • Excellent processor

Cons

  • Average battery
  • Average Wi-Fi connection

Dell XPS 13 9370 Laptop

Specifications:

  • 13.3 Inches screen
  • 4K UHD screen
  • 3840×2160 resolutions
  • 8th Generation
  • 512GB PCIe SSD
  • 16GB DDR3 RAM

Dell has been leading the way in laptops for some time now. The laptop has a full-screen display and it also possesses an operating system that is great for machine learning.

Let’s begin with the features that are offered by this product – first, there are touchscreen capabilities of up to 13.3 inches. the display of this laptop is pretty slick.

Although you may not need it, its 4K UHD display appeals to you because of its vivid color composition and it gives you fantastic screen resolution.

You have Intel 8th generation core i7 which offers you up to 4.0 GHz turbo clock speed that makes running multiple programs smooth without any lag time between uses.

Along with it, you also get 512 GB PCIe SSD storage space so loading your files won’t be a problem since everything will be right there on hand for easy access!

You get 16GB DDR3 RAM which lets you run applications with ease. The connectivity options in this laptop are state of the art.

You have Thunderbolt 3 USB-C ports with 2×2 LAN and Bluetooth 4.1, so data transfer is quicker when using a wired or wireless network connection.

However, you don’t get graphics from NVIDIA because it’s being provided by Intel UHD graphics 620. As for the operating system, Windows 10 is pre-installed on this laptop.

Pros

  • High HD screen
  • Supportive resolution
  • High processor
  • Slim design

Cons

  • Average battery
  • Low speaker

New Lenovo Thinkpad P17 17.3 Inch

Specifications:

  • 17.3 Inches screen
  • Intel Xeon W-10855M Processor
  • 32 GB DDR4 RAM
  • 1 TB PCIe SSD
  • 1920 x 1080 resolutions

In the world of laptops, Lenovo is a company that’s been around for years and makes some absolutely amazing machines.

This year, they’ve gone above and beyond the bar with their latest offering. Just to name a few examples you get a built-in webcam, easy access fingerprint sensor, and a Bluetooth connection so you can wirelessly connect to all your other devices.

Here at Your Company, we have always loved Lenovo for their diversity of high-class products and we knew from day one that this laptop would be something truly special!

17.3 inches of display for maximum visibility while programming. This processor offers you up to a 5.1 GHz processor (and it offers you up to an 8 thread as well).

This versatile laptop also makes a great home movie theatre with its large, Full HD screen. The NVIDIA® Quadro® T2000 graphics card provides impressive speed to display the text in movies, games, and images in ultra-sharp detail.

Along with it, you get 32 GB DDR4 RAM. This offers you an excellent performance. You get a 1TB PCIe SSD which is superfast while giving you a lot of storage. So that’s why it is the best laptop for deep learning.

Pros

  • High resolution
  • Excellent processor
  • High storage
  • Slim and portable

Cons

  • Average battery
  • Very expensive

MSI GS65 Stealth-002 15.6″ Razor Thin Bezel Gaming Laptop

Specifications:

  • 15.6 Inches screen
  • NVIDIA GeForce RTX2070 
  • 32GB RAM
  • ‎1920×1080 Pixels
  • 512 GB Flash Memory Solid State
  • 3 Hours battery

MSI laptops are always a great choice for serious gamers, but what makes the MSI model stand out from the crowd is its incredible performance and ability to handle complex machine learning/AI projects.

The Intel Core i7 8th generation processor with up to 4.1 GHz clock speed lets you make quick work of imperative data, leaving plenty of time to explore the vast world of machine learning, and with up to 512 GB SSD HDD storage space, your AI programming will run like a well-oiled machine.

32 GB RAM capacity gives you enough memory to power through any project! You will be pleased on seeing that the graphics that you get on this laptop include NVIDIA GeForce RTX 2070.

It has new ray tracing technology and is also one of the best mid-range laptops for gaming. If you purchase this laptop, it’s evident that your work on it will not go unrewarded!

Here are some key features: a silky and seamless touchpad, gesture control (to create various effects with your hands or palms), and an RGB keyboard

Pros

  • Easy to use
  • High resolution
  • Excellent storage
  • Great graphics

Cons

  • Poor battery
  • Average brightness

Buyer Guide of Best Laptop for Deep Learning

Much like any other technology device, there are various factors to be taken into account before you decide to purchase a machine learning system.

If you’re looking for something that will guarantee you less downtime while working and enjoying uninterrupted workflows, here are a few things you need to consider:

Portability and Processing Power

Let’s talk about the first thing you should consider if you are looking for a portable laptop. You need to look at how lightweight it is, especially considering that laptops are taken with you everywhere you go.

When it’s time to buy one, you would not like heavier top laptops. The other important thing to think of is power – without sufficient processing power, your laptop will be slow, so pay attention to this parameter as well.

RAM

RAM is the most vital factor to consider when it comes to picking out your laptop. If you’re planning on using machine learning algorithms wherein there are heavy-duty processes involved that need tons of memory.

Then it’s important to ensure that your laptop will be able to handle all of that storage without crashing or slowing down. Now, to be safe, you should probably get 16 GB at least.

Related Post: Is 4GB RAM Enough for Laptop?

GPU

After RAM, the next most essential factor to consider when choosing a computer for machine learning is the graphics processing unit.

The GPU is involved in the creation of neural networks which are responsible for making predictions from data.

These processes can get fairly expensive fairly quickly so you’ll need a powerful GPU to handle all of it effectively!

The GPU is a chip that contains a processor specifically designed to assist with the processing of computer graphics.

Machine learning employs neural networks a complex computing system making it a resource-heavy industry.

There are so many things going on at any given moment for this process, so you need a powerful card to even be able to handle this task.

Processor

When it comes to choosing a processor for Machine Learning use, don’t settle for anything less than the 7th generation Intel core i7.

Higher is better as it will enable faster processing of computations. But if you have the money to buy the latest 9th Generation Intel Core i7, go with that one instead because of its high performance and seamless computations.

So if you are interested in learning deep learning, the best thing you can do is get yourself an Intel Processor.

Not only are they generally better than other processors, but also because Artificial Intelligence programs run blazingly fast on this processor.

Storage Capacity

Big things need big storage. If you’re looking for a laptop and intend on using it for computational purposes, then we advise that you check your budget or try asking your boss to get access to the latest technology since the more storage you have, the better it is for you!

At least get one of these: an SSD with a minimum of 256 Gigs. We all know different people will prefer different brands, but there’s no way we can sugarcoat this; we recommend having plenty of space available if you plan on calculating anything at all!

Related Post: How much Storage do I need on a Laptop?

Operating System

The majority of people will tell you that using Linux is the best way to approach your virtual software startup.

However, other operating systems such as Mac and Windows can run Linux by performing a process known as ‘dual booting’.

FAQs Related to the Topic

Which laptop is better for deep learning?

The laptop boasts an 8th generation Intel Core i7-8550U processor with 16GB DDR3 RAM, making it perfect for machine learning-related tasks.
It also features Mobile NVIDIA GeForce GTx 1050 Ti graphics – which is ideal for running deep learning libraries like Tensor Flow!
If you want to learn how to work your machine learning skills to create your own AI or artwork, this would be my go-to recommendation! You can click here to check out the product page and purchase yours today!

Can deep learning be done on the laptop?

When you’re considering purchasing a laptop for upgrading to deep learning, it’s important to bear in mind that some factors might help or hinder your new purchase.
To start with, you’ll want to consider which GPU you can get while staying within your budget limits.
One example is the GeForce RTX based on the Turing architecture by NVIDIA. Another crucial thing to bear in mind is an adequate amount of RAM considering how much data would need to be processed overall when making use of the said program.

Is Mac good for deep learning?

I use macOS and Ubuntu. Both of them have worked quite well for machine learning.
When it comes down to large neural networks I would use Ubuntu, you can break your cluster when compiling your code with frameworks like Theano that are required with Mac.

Is RTX 3060 6 GB good for deep learning?

The new Geforce RTX 3060 is said to offer significant Deep Learning performance while at the same time allowing for some gaming too, thanks to its 3584 CUDA cores and 12GB of GDDR6 memory.
It’s also worth mentioning that the new card supports Deep Learning frameworks like Tensorflow, Caffe, Theano, and others.

Is HP laptop good for machine learning?

For those of you who want to work on Machine Learning projects, we’re proud to present our high-performance laptop.
It has a 144 Hz refresh rate for helping your ML experience be even more enjoyable and immersive than ever.
Plus, this sleek and powerful machine is sure to become an ideal fixture in your household because it also comes with one of the latest processors from Intel.

Does RAM matter for deep learning?

The size of your RAM does not affect deep learning performance. However, it might hinder you from executing your GPU code at a speed that is comfortable for you without swapping the memory to disk.
When working with a lot of data, a RAM size of 128 GB might be required. If for example, you have a Vega 64 GPU and if you want to run the neural networks comfortably or use CUDA, it is recommended that you have at least 128 GB of RAM which will match your largest GPU memory size.

Does CPU matter for deep learning?

You might think that more CPU power is better for computer vision applications, but if you try to create a more complex module battery, then it will be more helpful to you to use GPU for AI. 
Deep learning requires lots of cores, not powerful cores. It is useless to spend money on expensive CPU (or even cloud CPU instances) if you are developing a deep learning software solution. You can also use your hardware accelerator – it will be enough for you.

What is AI vs. machine learning?

Artificial intelligence (AI) is like a computer system that can make rational or intelligent decisions, such as self-driving cars.
Although AI is effective in future technology, the purpose of AI is to create machines with human-like behavior and traits making them autonomous and capable of solving complex problems.
Smart machines can be defined as illogical and without any consciousness or feelings which include: computers, robots, and smartphones.

Can I use MacBook Pro for machine learning?

Macs have a long a storied history of being a fundamental part of many labs, research facilities, and engineering departments from coast to coast.
Today those same Macs can now deliver outsized gains in performance simply by upgrading to macOS Big Surplus the ML Compute package included as part of that release!
Modern Macintosh computers have been a popular line of advanced computing devices for artificial intelligence researchers, computer programmers, and digital artists.
macOS Big Sur is now powered by the most advanced ML Compute framework, which puts an end to waiting for your neural networks for machine learning.

Conclusion

Deep learning has proven to be an essential tool in artificial intelligence. The ability to process large amounts of data and increase the speed of understanding makes it possible to create neural networks that can think like humans.

This technology has already caused major changes in the world of technology, business, and medicine. The Best Laptop for Deep Learning can be quite difficult to find exactly what you need when it comes to laptops.

This article should help you figure out what laptop for deep learning will fit your needs best. We hope that you enjoy our article.

If you want to know more information about laptops visit TheLaptoppedia.com

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