3 Best Laptops for Machine Learning in 2022

Machine learning, which has now become almost synonymous with AI, is one of the most exciting frontiers in modern tech, but learning, coding, or understanding it is not easy. The discipline requires a lot of technological know-how, as well as some pretty impressive equipment.

When picking out a laptop for machine learning, you want something with quite a bit of power. Speed matters too. All of the devices listed below have plenty of both to ensure you can easily use them for machine learning. The one you pick comes down to personal preference.

Quick Summary

  • The Gigabyte AERO 15 is an advanced device. It has good specs, a thin shell, and a bright screen. Perfect for machine learners who also want some well-rounded functionality.
  • Lenovo is known for quality, and the ThinkPad X1 is one of their most powerful devices. This machine, thanks to its internal power, is for heavy users who need to run a lot of algorithms in a short period of time.
  • The Razer Blade 15 is for machine learners who value versatility. It is thin, compact, and has a strong 10th-generation Intel Core processor. There are plenty of ports as well.

Who Should Get This?

The laptops in this guide are all geared for people who work or who want to work in machine learning. The field is rapidly expanding, and there are many ways to get into it through both work and school. If you use or work with it in any way, you need a high-power laptop.

The following choices come with quite a bit of power. As such, they are also able to play almost all of the high-end games on the market. If you enjoy gaming on your laptop, note that the following items do a good job of bringing your favorite titles to life.

Best Laptop for Machine Learning: What to Consider in 2022

Processing Power

Every machine learning laptop, like every machine learning desktop, needs power. It takes quite a bit of juice to run complex programs or neural networks. You want something that’s up to the task. Always go with a device that has at least an Intel Core i7 processor. In addition, strive to get at least 16GB of RAM and always strive for a desktop-caliber GPU.


Another aspect to consider with a machine learning laptop is storage. Running any large programs or advanced algorithms requires quite a bit of space. Your model needs to have at least 1TB of storage out of the box. That may seem like a lot, but it’s important to handle ever-increasing datasets. If you have an SSD, you want to shoot for at least 256GB.

Battery Life

While it’s easy to overlook when searching for advanced specs, battery life matters. Machine learning not only takes power, it also takes time. Though you will most likely be near an outlet or plug while you work, it always helps to be able to sit back or set up in an area without constantly looking at your computer’s power level. Six or eight hours should be your minimum range but go with as long as your budget will allow.

Best Laptop for Machine Learning: Our Picks 2022

1. Gigabyte AERO 15

If well-rounded is what you want, it’s hard to do better than the Gigabyte AERO 15. This is one of the best general-use machine learning laptops on the market because it’s great for both work and relaxation. It has a bright screen and strong specs, two factors that make it perfect for streaming media and playing games, as well as a lightning fast processor to run any machine learning program.

Another bonus here is the thin design. Many powerful laptops tend to be bigger in size, but the Aero keeps it small. That makes it easy to carry around and is especially useful for students or professionals who need to transport their work from place to place. There is also a wide range of ports to increase versatility as well as a good battery that will give you the time to work.

What We Like:

  • Thin and easy to maneuver
  • 15.6-inch screen
  • Premium look
  • Vivid and colorful display
  • Strong processor and graphics
  • Excellent connectivity
  • Ample ports

What We Don’t Like:

  • A bit heavy

2. Lenovo ThinkPad X1

Equipped with a strong Intel Core processor and outfitted with 16GB of RAM, Lenovo ThinkPad X1 is a powerful computer capable of running simulations, tracking data, and breaking down analytics with ease. It’s also able to support four different monitors at once, which comes in handy when you’re trying to train different algorithms. Though many machines out there allow you to multitask, few of them enable you to do with this much power.

The ThinkPad X1 is also nice to look at. The screen is wide and vivid, making this computer great for when you want to take a break to browse the web or play games. Beyond the display, this packs NVIDIA GeForce GTX 1650 graphics and plenty of internal storage. The Glance technology also offers gaze tracking and there’s plenty of storage to go around.

What We Like:

  • Strong Intel Core i7 processor
  • Wide, bright display
  • Large screen
  • Great internal graphics
  • Quick and powerful
  • Keyboard is easy to use
  • 16GB RAM

What We Don’t Like:

  • Not the best battery life

3. Razer Blade 15

While it’s a gaming laptop, the Razer Blade 15 is perfect for machine learning. That is largely due to its incredibly powerful Intel Core i7 processor that’s both fast and responsive. In addition, it comes with ample storage (1TB and 256GB SSD) on top of a 15.6-inch screen that looks absolutely fantastic in all types of light. It has excellent connectivity and a backlit keyboard as well.

This computer is also quite portable, largely due to the thin, compact frame. However, that does not mean it’s weak. The aluminum design is quite sturdy and ensures the shell can stand up to bumps and scrapes with little worry. The strong battery life is nice, as are the impressive slew of different ports and connections. This comes with just about everything you’ll ever need.

What We Like:

  • Intel Core i7 processor
  • GeForce GTX 1660Ti
  • 15.6-inch screen
  • 256GB SSD
  • 1TB storage
  • Sturdy aluminum design
  • Thunderbolt 3 port
  • 1080p resolution
  • Edge-to-Edge display
  • Backlit keyboard

What We Don’t Like:

  • A bit noisy
  • Can heat up quickly

Useful Tips and Information

Machine learning, while interesting, can be a bit dense. If you’re interested in the process but want to know more, or if you’re simply curious about what it might mean for the future, check out this guide.

Owning a machine learning laptop is one part of the process, but knowing how to do it is something else entirely. As with any advanced field, it’s never something you want to dive into blind. Rather, videos like this one will give you a good place to get started.

Final Words

Machine learning has come a long way, but there’s still a much longer way to go. There are constant advancements in the field, and many of them are conducted on high-quality laptops. If you need one such device, you can’t go wrong with what we’ve listed here.

Do you use a laptop for machine learning? Are there any top-of-the-line machines we missed? Let us know below!

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