5 Best Laptops for Machine Learning in 2023

AI, deep learning and machine learning software require some powerful hardware to run on your laptop or PC, because otherwise, it would be painful and slow if you are using outdated hardware components or laptops as machine learning tasks require some heavy processing.

We will include a quick tip and a guide for picking a laptop for machine learning at the end, so don’t miss that!

Here is the list of laptops for machine learning top recommendations:

List Of Best Laptops For AI, Deep Learning, And Machine Learning

Specifications

• Display: 15.6 inch, 144Hz, 1920×1080 screen
• CPU: Intel Core i7-9750H (Up to 4.5 GHz)
• GPU: NVIDIA GeForce RTX 2080 Max-Q
• RAM: 32GB DDR4 (2666MHz)
• Storage: 1TB PCIe NVMe SSD
• Dimensions: 10 x 14.1 x 0.7 inches
• Weight: 4.41 pounds

The Predator Triton 500 is one of the best laptops you can get for a machine learning laptop. It has everything you need for AI, machine and deep learning laptop.

Performance-wise, it is a high-end gaming laptop but it is not just for gaming, it does the job for basically everything you need from it. It has an Intel Core i7-9750H 6-Core processor that can be clocked up to 4.5GHz to give you the processing power you need for machine learning.

The Predator Triton 500 has an NVIDIA GeForce RTX 2080 Max-Q graphics card which is currently one of the best GPUs in a laptop offered for a regular consumer, which will greatly improve the processing power performance in machine learning.

With a 32 GB RAM, you don’t need to worry about the memory size anymore, and it actually hits the sweet-spot of price and performance as it is much cheaper than most other laptops with the same specs.

Bigger RAM size means it won’t hinder your ability to run large data-sets or running many applications.

As for the design and build quality, like most high-end laptops if not all, they come with a premium design and solid build quality. It is really a good looking laptop.

It comes with 1TB of NVMe SSD storage. This makes it a lot faster than normal hard-drives, heck, even faster than normal SSDs which means you will not worry about Windows slowing down or applications loading slowly. It will improve your Windows performance significantly.

The Predator Triton 500  features a 15.6 inch Full HD (1920 x 1080) 16:9 aspect ratio IPS display. As for the ports, it has 3 x USB 3.1 ports, a DisplayPort v1.4, and 1 x Thunderbolt port.

It has 144Hz refresh rate and 3 ms response time, which is great.

The battery life of the laptop is quite decent, averaging from 5 to 6 hours of normal usage. You can also increase the battery life a fair bit by tweaking the laptop settings or the OS settings.

The Predator Triton 500 has everything you need from a machine learning laptop packed in one single laptop. It is easily recommended for those who want powerful hardware for AI, machine and deep learning.

Specifications

• Display: 17.3 inch, 144Hz, 1920×1080 screen
• CPU: Intel Core i7-9750H
• GPU: NVIDIA GeForce RTX 2070
• RAM: 16GB DDR4 (2666MHz)
• Storage: 1TB PCIe NVMe SSD
• Dimensions: 15.7 x 10.7 x 0.7 inches
• Weight: 5.73 pounds

The ASUS ROG Zephyrus S GX701 is one of the few laptops that have proved that light and thin laptops could be just as powerful as the big and heavy gaming laptops.

It has a very similar performance to the Predator Triton 500 but is a little more expensive than the Predator Triton 500.

Like most other new high-end laptops, the ASUS ROG Zephyrus S GX701 has an Intel Core i7-9750H 6 cores processor, and that should be the standard when choosing the best laptop for machine learning.

The ASUS ROG Zephyrus S GX701 is armed with the NVIDIA GeForce RTX 2070 graphics card so you can get the top-notch performance you need for machine learning.

This laptop has a gorgeous design, it is so thin, light and beautiful. It comes with 16 GB RAM with a frequency of 2666MHz, which is enough for doing machine learning tasks.

And if you need more RAM, you can add up to 8 GB additional RAM stick for a maximum of 24 GB RAM, so you don’t have to worry about the future of upgradability of this laptop. The build quality is solid, so you don’t need to worry about it.

Speaking of storage, similiar to the Predator Triton 500, it comes with 1TB of NVMe SSD storage, which is great for speed and performance. You can even add more SSD storage as it has 2 M.2 NVMe slots.

The ASUS ROG Zephyrus S GX701 features a 17.3 inch Full HD (1920 x 1080) 16:9 aspect ratio IPS display. As for the ports, it comes with 2 x USB 3.1 (USB Type-C) ports, 3 x USB 3.0, 1 x HDMI 2.0b ports.

It also offers a 144Hz refresh rate, 3ms response time display with NVIDIA G-Sync support to reduce screen tearing and ghosting.

The ROG Zephyrus S GX701 is our second choice for a machine learning laptop. If the price was a little lower, it would have been our first choice

Specifications

• Display: 17.3 inch, 144Hz, 1920×1080 screen
• CPU: Intel Core i7-9750H
• GPU: NVIDIA GeForce RTX 2080
• RAM: 16GB DDR4 (2666MHz)
• Storage: 512GB PCIe NVMe SSD
• Dimensions: 10.2 x 0.8 x 15.6 inches
• Weight: 2.84 pounds

The Razer Blade Pro 17 is another good laptop for machine learning, deep learning and artificial intelligence. Like other laptops in the list, it comes with an Intel Core i7-9750H 6 cores processor, as this is the standard for a machine learning laptop.

It is one of the best affordable laptops for machine learning, featuring an NVIDIA GeForce RTX 2080 graphics card, and while the RTX 2080 is a powerful graphics card, it isn’t near the performance of the RTX 2070 and RTX 2060.

We recommend this laptop for machine learning if you are looking for a budget one.

As for the design and build quality, it has a beautiful design and good build quality as it is a premium laptop for machine learning.

The Razer Blade Pro 17 has a 16GB DDR4 2666MHz RAM which is enough, but you should upgrade it depending on your needs, as it is easily upgradable.

It has 512GB PCIe NVMe SSD for faster applications loading and OS performance, though we recommend you adding more gigs to storage as this isn’t enough in some cases.

The Razer Blade Pro 17 features a 17.3 inch Full HD (1920 x 1080) 16:9 aspect ratio IPS display.

As for the ports, it comes with a USB 3.2 (USB Type-C), a USB 3.2, Thunderbolt 3 (USB Type-C), 3 x USB 3.2, 1 x HDMI 2.0b, headset jack, 2.5Gb Ethernet LAN, SD card reader. The display features a 144Hz refresh rate, which is great.

The Razer Blade Pro 17 is a good laptop for machine learning. This is our third choice for a machine learning laptop. We recommend this laptop if you are looking for a budget laptop for machine learning, it is a great option in this case.

Other Great Options

Specifications

• Display: 17.3 inch, 144Hz, 1920×1080 screen
• CPU: Intel Core i7-9750H
• GPU: NVIDIA GeForce GTX 1660 Ti
• RAM: 16GB DDR4 (2666MHz)
• Storage: 512GB PCIe NVMe SSD
• Dimensions: 16 x 11 x 1 inches
• Weight: 6.39 pounds

The Acer Predator Helios 300 is basically the best laptop for machine learning in terms of price to performance ratio, it is extremely well priced and has good specs.

Like every other laptop in this list, it has an Intel Core i7-9750H 6 cores processor giving you good performance in terms of processing power.

In terms of GPU processing power, it features the NVIDIA GeForce GTX 1660 Ti, which is not the most optimal graphics card you can get for a machine learning laptop, for the price point it is offered it and how cheap it is, it is a great choice and you can’t regret getting this laptop.

The design of the Acer Predator Helios 300 looks good like other laptops in the list, and the build quality is great, even better than some more expensive laptops in the list.

It has a 16 GB DDR4 2666MHz RAM, and as stated above, it is enough in most cases, and if you want more RAM, you can actually add more RAM in this laptop easily as upgradability in this laptop is easy.

The Acer Predator Helios 300 has 512GB PCIe NVMe SSD, and while this is fine, you may need to add more storage, you can add 1 HDD storage and you can upgrade the existing M.2 slots to add as much SSD storage as you want, which is great.

Even though this laptop has an average battery life, it is still decent for a gaming laptop.

On the ports side, It has 1 x USB 3.0, 2 x USB 3.0, 1 x SD Card reader, 1 x HDMI, 1 x USB-C 3.1 Gen 1, 1 x Headphone/microphone combo jack.

The Predator Helios 300 features 17.3 inch Full HD (1920 x 1080) 16:9 aspect ratio IPS display and it offers 144Hz refresh rate, 3 ms response time.

The Acer Predator Helios 300 is one of the best laptop for machine learning you can get, it is easily recommended if you are looking for a good machine learning laptop for a good price.

Specifications

• Display: 15.6 inch, 60Hz, 3840×2160 screen
• CPU: Intel Core i7-9750H
• GPU: NVIDIA GeForce GTX 1660 Ti
• RAM: 16GB DDR4 (2666MHz)
• Storage: 512GB PCIe NVMe SSD
• Dimensions: 14 x 9.8 x 0.8 inches
• Weight: 5 pounds

The Gigabyte Aero 15 OLED is a good laptop for machine learning. It offers good performance with a sleek design, overall it is an attractive laptop. This is a 4k resolution laptop, which is great, and its display is amazing and brilliantly color accurate.

The Gigabyte Aero 15 OLED has an Intel Core i7-9750H 6 cores processor, like all laptops on the list, so nothing new here. It also offers 16 GB DDR4 2666MHz RAM.

It has an NVIDIA GeForce GTX 1660 Ti graphics card, making it good for smaller machine learning tasks.

When looking at the ports you will find that it has 3x USB 3.1 Gen1 (Type-A), 1 x Thunderbolt™ 3 (USB Type-C), 1 x HDMI 2.0, 1 x DP 1.4 & USB3.1 (USB Type-C)*, 1 x 3.5mm Headphone/Microphone Combo Jack, 1 x SD Card Reader, 1 x DC-in Jack, 1 x RJ-45.

The Gigabyte Aero 15 OLED features 15.6 inch 4K (3840×2160) 16:9 aspect ratio IPS display. However, it offers only 60Hz and while this isn’t relevant to a machine learning laptop, it can affect your daily usage of the laptop and if you game on it.

But as the resolution is 4K, this is a decent laptop for machine learning and daily usage.

The laptop has 512GB PCIe NVMe SSD with the option of upgradability, so you don’t have to worry if you need to add more storage.

The Gigabyte Aero 15 OLED is another good choice for a machine learning laptop, and while there are better alternatives, you can’t go wrong with this laptop if you want a 4K display on your laptop.

Quick Tip

Laptops in the list may have a few variants that you can get, these variants are subject to changes in the laptop specs.

Example: the Predator Triton 500 has some models equipped with an NVIDIA RTX 2060 graphics card while the model we are listing is the one with the NVIDIA RTX 2080 Max-Q

So be aware of these models if you are buying a laptop and check what is best for you.

You can also read our guide about the best laptop for writers in 2023.

What you should look for in a machine learning laptop

CPU

The CPU is one of the most important factors when picking a laptop for basically anything, not only for machine learning laptops. Be careful when picking a processor as you should pick one powerful enough, and also to avoid bottlenecking.

You should always go with the Intel Core i7 latest generation processors, currently it is the 9th and 10th generation, but there aren’t really good options for 10th generation laptops yet as it was recently released, so for now stick with the 9th generation processors.

Also, you should go with the processors with the best clock speed possible as more clock speed means better performance for the same processor model number.

GPU

The GPU, along with the CPU, are the most important things when picking any laptop specially for hardware hungry applications and tasks like gaming, content creation programs, rendering, artificial intelligence and machine learning.

And like the CPU, you should always go with the latest generation of graphics card. Currently, the NVIDIA GeForce RTX graphics card are recommend, along with Turing GTX models. The minimum for a machine learning laptop should be the RTX 2060 or GTX 1660 Ti.

RAM

The RAM is an important component in a laptop’s hardware, and when doing machine learning taks, specially big ones, you need to have a big RAM size as if you don’t have enough RAM it will hinder and slow you drastically.

The minimum RAM size for machine learning laptops is 16 GB, and you need to make sure to go for the fastest RAM possible by going for the RAM with the most frequency, minimum frequency is 2666 MHz. The recommended RAM size is 32 GB, as it should be enough for most machine learning tasks.

Storage

When choosing the best laptop for artificial intelligence or best laptop for machine learning, you wanna make sure it has at least 256 GB of SSD storage. However, we recommend 512 GB or more as a safe choice if you run out of storage.

Alternative to a machine learning laptop

Laptops are portable, and for that they are great. But if you don’t care about portability and care more about performance, then you might want to get a PC instead of a laptop as this will get you the best performance and price.

We highly recommend getting a PC over a laptop for machine learning if you don’t mind the portability option.

Conclusion

With the list of the best laptop for machine learning and our guide for choosing a laptop for machine learning, you should be able to either pick one from our list or choose your own using your own preferences directed by the guide.

When picking a machine learning laptop, you should always consider buying a desktop computer instead for maximum performance and least price.