Best Laptops for Deep Learning and Machine Learning

Get straight to the point. Here come 5 best laptops for deep learning and machine learning for professionals in the fields of computing, AI, and Big Data Analytics.

Finding the best laptops for deep learning and machine learning is not an easy task.

The ideal laptops, first and foremost, should feature a super-fast GPU. This might significantly ramp up the price tag, however, it is worth.

Also, you should pay attention to extra hardware and its performance to ensure that the laptops can run efficiently with a massive load of data at a time and for long hours.

Too many requirements to remember?

No worries, we give a shortcut to the buying guide and the top 5 laptops for deep learning and machine learning here, so you do not have to search elsewhere.

Check now!

Laptop Buying Guide for Deep Learning and Machine Learning

Knowing before buying – it is a rule of thumb for any purchase.

For deep-learning and machine-learning laptops, you should choose the best in terms of five criteria as follows.

Performance

Getting involved in deep learning and machine learning means using neural networks, in which the laptops should find patterns in data from scratch.

In other words, your laptop should feature a powerful Central Processing Unit (CPU) or Graphical Processing Unit (GPU) to process a large amount of information.

However, to tell the truth, normal CPUs are not the workhorses for deep learning or machine learning. It would be much better if your laptop supports GPU with specialized cores.

So, our professional advice is to go for dual-GPU merchandise if you are researchers, hobbyists, or students. Meanwhile, for a heavy-computation task, please consider a multi-CPU build.

Display

The display is another important factor when it comes to laptops for deep learning and machine learning.

Accordingly, display refers to the size of the screen, resolution, the type of screen, as well as the graphics processor.

Which to choose depends on your job and your deep-learning knowledgebase.

For example, if you are researchers who learn on the go, you might prefer a portable-sized laptop like Macbooks so that you can learn almost everywhere.

Nevertheless, if you are a developer who does UI/UX apps or the like, you might pay attention to graphical processors, mobile gaming, and/or high-resolution videos.

Touchpad

While you might underestimate the necessity of the touchpad, a professional deep learner knows how important it is.

It makes sense.

For deep learning and machine learning, you need to work with people from different places and with different external devices. Hence, you need to do multiple tasks quickly.

With the support of modern touchpads, you can process all tasks faster and more efficiently, using multi-touch gestures.

So, always buy laptops having a high-quality touchpad.

Connectivity

Again, to master in deep learning and machine learning, you need to work with various devices at a time.

Thus, connectivity is another important factor to consider when buying laptops.

Specifically, connectivity are related to both hardware such as USB port, mouse, HDMI, SD memory card, plus with other ports – Bluetooth or Cloud.

We recommend laptops with more than two different versions of the USB port to connect with as many devices as possible.

If there are not enough ports, you should invest in a port extension gadgets or the like.

Storage

Without intensive storage, all fascinating features go in vain.

During the deep learning and machine learning, you have to download and save my software, files, and projects.

Always use the SSD memory card if you do not have a very tight budget. Otherwise, go for a drive of 7200 RPM HDD.

Plus, you had better install both operating systems and software on the SSD to free up the core storage and improve the overall performance.

The best laptops should even feature two SSD drives so that you expect a double amount of storage.

We highly recommend installing both software and operating system on an SSD storage drive to increase the performance.

Best Laptops for Deep Learning and Machine Learning in 2020

ASUS ROG Zephyrus S Ultra Slim Gaming Laptop – Best Overall

ASUS ROG

 

With ASUS ROG Zephyrus S, we have a decent experience overall.

First off, the laptop features a gorgeous black design with elegant matte and pure aluminum coating, as well as glossy silver on the side. On booting up, the laptop reveals magenta dots and cutouts for hinges.

The interior is also sleek. The keyboard is RGB backlit and the touchpad has a slick digital pad and clickable buttons.

Although the pad is smooth and responsive, the keys are not comfortable enough. Your fingers might stumble on the low typing. However, they are still acceptable.

In terms of weight, the Zephyrus S has an average weight like most popular laptops – around 4.6lbs.

Now, turn to the performance.

ASUS ROG Zephyrus S has a 1080P panel which provides a remarkable display. We test the laptop with the game Shadow of the Tomb Raider, and guess what?

The images are vibrant, sounds are great, and the response time is as short as 3ms.

The SSD drive is 512GB capacity and the memory card is 16GB – not too powerful but still enough to copy a large number of data in a very short time.

Pros:

  • Light construction and thin design
  • Stunning and wide graphic display
  • Responsive touchpad
  • Five USB connection

Cons:

  • Uncomfortable keyboard
  • Limited memory card and drive

Summary of specifications:

ASUS ROG Zephyrus S Ultra Slim
Processor Intel Core i7-8750H Processor
RAM 16GB DDR4 2666MHz
Storage PCIe NVME 512G M.2 SSD
Graphics NVIDIA GeForce RTX 2070 Max-Q
Display 15.6″ FHD, 72% NTSC,Anti-Glare
Operating System Windows 10 (64bit)
Batteries 1 Lithium-ion batteries required. (included)
Weight 4.63 lbs

Eluktronics N850HK1 Pro-X Gaming Laptop – Best Value for Money

 Eluktronics N850HK1

 

Deep-learning laptops are more expensive than normal laptops. However, you do not need to break a bank for premium laptops, especially when you are students and research beginners.

At that time, go for Eluktronics N850HK1 Pro-X Gaming Laptop.

The design does not make you “wow” at the first look, however, it is still solid and durable with red aluminum case and backlit keys.

There is even an accommodative room to rest your wrist while working. This small thoughtful feature is a big plus when you have to work on the laptop for hours.

We like the keyboard very much.

It feels comfortable when moving on. What’s more, the full-sized touchpad is located on the right for easy access. Meanwhile, the trackpad is super responsive.

Just for your note, the trackpad is aligned for the right-handed users rather than the left-handed ones.

The display is another thumb-up. You can develop deep learning training on very details as the screen are clear, sharp, and come in a splash of color.

Also, the 512GB SSD storage volume and 32GB RAM can get serious done easily as they support 4 to 5 times faster speeds.

On drawbacks, the battery life is short – only for 4 hours on light use and 2 hours for gaming.

Pros:

  • Affordable price
  • Comfortable keyboard and touchpad
  • Ample screening display
  • High-capacity RAM

Cons:

  • No optical drive
  • Low battery

Summary of specifications:

Eluktronics N850HK1 Pro-X Gaming Laptop
Processor 2.8 GHz Intel Core i7
RAM 16 GB DDR4
Storage 256GB SSD
Graphics 4GB GDDR5 VRAM NVIDIA GeForce GTX 1050 Ti
Display 15.6″ LG Full HD IPS
Operating System Genuine Windows 10 Home 64-Bit
Batteries 6-Cell 62WHr
Weight 4.63 lbs

Eluktronics Pro-X P650HP6-G VR Ready – Best Powerful

Eluktronics Pro-X

 

 

If it is not the money but the performance you care for, then Eluktronics provides another laptop for deep learning and machine learning.

It is Pro-X P650HP6-G VR Ready.

At a glance, this laptop adopts the basic-looking aluminum design like other Eluktronics laptops.

In other words, you can expect a quality-built construction as a whole, with traditional-designed exhaust vents, single USB port, and a power jack. You can bring it to the office, board meeting, or coffee shop for some deep learning.

So, what makes this laptop to be the best powerful device.

Firstly, the core Core i7-7700HQ 2.80 GHZ applies the hyper-threading technology to perform complex tasks on very high settings.

Moreover, this laptop uses 6GB GDDR5 VRAM and 512GB SSD, which are pretty fast and dedicated. Also, the panel is easily expandable.

There are even dual exhaust fans on two sides to cool the GPU and CPU. Hence, the laptop can run quietly and smoothly even for hours.

Pros:

  • Powerful SSD, CPU, and GPU
  • Expandable 16GB DDR4 RAM
  • Sturdy design
  • Comfortable keyboard
  • Noise emission fans

Cons:

  • Heavyweight
  • Short battery life

Summary of specifications:

Eluktronics Pro-X P650HP6-G VR Ready Laptop
Processor Intel Core i7-7700HQ Quad Core
RAM 16GB DDR4 2400MHz RAM
Storage 256 GB flash_memory_solid_state
Graphics 6GB GDDR5 VRAM NVIDIA GeForce
Display 15.6″ Full HD 120Hz 5ms Anti-Glare
Operating System Genuine Windows 10 Home 64-Bit
Batteries 4-Cell 60WHr
Weight 5.8lbs

Gigabyte AERO 15-X9-RT5P 15″ Thin Bezel FHD – Good for Machine Learning

Gigabyte AERO

 

For machine learning, you expect a powerful GPU combined with a compact design to take the laptop on the go.

Can you?

Yes, there are several compact and powerful laptops on the market. However, they are expensive. As long as you can afford them, you can get many advanced features at hand. Take Gigabyte AERO 15-X9-RT5P, for example.

Let’s start with the design.

The laptop is crafted in a sleek aluminum case with the all-metal black deck is all metal black while the keyboard features much-needed color. The top and side bezels are thin so that the overall weight is not too bulky, only 4.7lbs.

The Intel Core i9-8950HK CPU and 32GB of RAM support a strong efficiency. You can browse websites and edit videos and photos with ease.

The amazing 4K Pantone-calibrated display and artificial intelligence are the most outstanding features. It makes the screen beautiful and scrip. In addition, the laptop comes with a gimmick of AI programs, Professional+, and Gaming+ program.

Pros:

  • Slim design
  • Fast-processing storage
  • Powerful GPU
  • Excellent 4K colorful display

Cons:

  • Pricey tag
  • Heated operation

Summary of specifications:

Gigabyte AERO 15-X9-RT5P
Processor 4.1 GHz Intel Mobile CPU
RAM Samsung 32 GB DDR4-2666
Storage Intel 760P 1 TB M.2 PCIe-NVMe SSD
Graphics Nvidia GeForce RTX 2070 Max-Q (8GB GDDR6)
Display 15.6-inch 4K (3840 x 2160)
Operating System Genuine Windows 10 Pro
Batteries 94 Wh
Weight 4.7lbs

Omen by HP 2019 15-Inch Gaming Laptop – Best for Deep Learning

Omen by HP 2019

 

Omen by HP 2019 15-Inch Gaming Laptop is the last on the list, which is powerful enough for deep learning.

This device adopts the outstanding characteristics of the HP laptops in terms of design. To be specific, it opts for understated looks by toning down flashy elements, angled edges, and metallic construction.

This minimal design makes sense to attract even hardcore gamers.

We also want to praise the full HD display. Not only is it light on eyes, but the screen features wide angles and excellent brightness.

Many consumers have confirmed that the display is sharp and detailed so that they can enjoy high-end games to the high refresh rates and smooth graphics. What’s more, the size and space of the keyboard are surprisingly good.

The performance is also great to perform aggressive multitasking and regular use. This is thanks to the strong Intel Core i7- 9750h and 1TB HDD and 512GB SSD.

The batteries are not very impressive – only for 5 hours on a full charge.

Pros:

  • Affordable price
  • Excellent gaming performance
  • Vivid display ability
  • Fast HDD and SSD

Cons:

  • Mushy keyboard
  • Low battery capacity
  • Heavy construction

Summary of specifications:

Omen by HP 2019 15-Inch Gaming Laptop
Processor 4.1 GHz Core i7 Family
RAM 16 GB SDRAM
Storage 1 TB 7200 rpm SATA SSD
Graphics Intel UHD 630NVIDIA GeForce RTX 2070
Display 15.6-inch, 1920 x 1080 px resolution
Operating System Windows 10 Home (64bit)
Batteries 69Wh, 200W power adapter
Weight 5.34lbs

FAQs

Is 16gb RAM enough for machine learning?

“Not all the time!” we might answer.

While most laptops now come in an 8GB RAM, 16GB one seems promising and affordable. However, you might still get terrible slowdowns after a while.

So, how much is sufficient?

For the best performance, we would recommend the 32GB RAMs at a minimum. You will detect a significant difference – the laptop does not like a toy, but a real machine for learning.

64GB RAMs, of course, are better. However, they are rarely available on single laptops.

How important is the GPU for a machine learning laptop?

As we mentioned above, a GPU is a suitable workhorse for machine-learning purposes, rather than the standard CPU.

Here we explain the roles of GPU in more detail.

Accordingly, GPU is a programmable processor located in the chipset of the motherboard to perform display functions. It renders animations, images, and videos on the screen.

A powerful GPU allows gaining practical experience fast in dealing with parallel computations, multiple cores, and extensive bandwidth capacity.

Simply put, it saves time during prototyping models and shortens the feedback process.

Is SSD storage crucial for machine learning laptop use?

Instead of the traditional hard disk drives (HDD), machine learning laptops require a solid-state drive (SSD).

The benefits are significant.

First of all, the SSD handles data by flash memory chips so that there are no moving parts. It also frees up the drive on your laptop.

Secondly, SSD drive opens files faster, which is helpful when you open extensive files frequently.

The minimum SSD is around 512GB and 7200 RPM. The more, the merrier.

How much RAM are the minimum criteria for a machine learning laptop?

As we mentioned, the recommended RAM for machine learning is at least 32GB. Get something larger according to your dataset.

However, the price of 32GB is somewhat much more expensive than the standard 8GB or 16GB.

You need to consider carefully.

Is the screen size ideal for deep learning and machine learning, 13 inches or 15 inches?

Laptops for deep learning and machine learning should be compact and versatile to run demanding applications.

If you are wonder between the 13-inch screen and a 15-inch screen, then we recommend the earlier. These measurements provide a good balance between usability and portability.

15-inch laptops are more popular. However, you will not want to carry them around often as they might weight from 4 to 5.5lbs.

Conclusion

The best laptops for deep learning and machine learning are all available at your fingertips. Give each device a try and careful consideration so that you can pick the most suitable laptop in terms of budget and quality.

Before you go, we want to cover some key points for you to take away: powerful GPU, fast SSD, lightweight, and compact design.

Also, if you find this review is helpful, please like and share it with other consumers.

Enjoy!

Also read:

5 best laptops for data science

Best laptops for programming students

 

Author: Edward Tashihira

Edward Tashihira is an 25 year old blogger. He is a Software Engineer by profession and blogger by passion. He writes on various topics like Technology, Blogging, Web designing and SEO. He runs various other blogs under various niches.
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