Best Laptops for Machine Learning
We have the experience and the know-how to help you select the perfect laptop for you. Our industry veterans know what they are talking about and how to cut through the jargon to make your job choosing the right machine as easy as possible. Read more
Machine Learning and Deep Learning are very demanding in terms of hardware – especially Deep Learning. That’s why most people generally prefer desktops when it comes to machine learning, but what if you need a laptop? If you’re like us, and you’d much rather use a laptop for all your machine learning needs, then you may as well get the best available.
So, without any further ado, let’s take a closer look at what we consider as the best laptops for machine learning!
How We Picked
Wed chose five laptops that fit the requirements, a large amount of processing power, and the ability to power through workload without skipping a beat. These are not toy laptops, that’s for sure.
How We Tested
Here’s our selection of laptops that, when considering all the considerations outlined above, would perfectly suit the needs of this profession – pro or hobbyist. They all have high quality and high-resolution displays, all a reliable and well built, and take into consideration necessary storage options and technical specifications.
Best Laptops for Machine Learning
- Very cheap (Compared to other options)
- Relatively small/compact
- A bit of room for upgrades (RAM)
- Not the best option for gamers (The 1050 is good enough for entry-level gaming at low graphics, low resolution. Maybe some MOBAS as well. But that’s about it.)
- Barely acceptable for Deep Learning
- Mediocre display
- A few complaints about the build quality and Dell’s warranty policy
Dell Inspiron i5577
At about $800 (Depending on the time of purchase, various discounts, and other contributing factors that affect pricing), you may feel like this is an expensive laptop. But, in fact, if you want the best laptop for machine learning on a budget, then we wouldn’t recommend spending anything less than that!
It comes with a GTX 1050, a 7th gen Core i5, 8 gigs of RAM, and a 256GB SSD! As we mentioned above, these are the bare minimum requirements for Machine Learning and Deep Learning.
In fact, if you can afford to do so, we’d recommend spending a bit more and going with at least a Core i7. 8 gigs of RAM are also going to be insufficient – depending on what you’ll be doing and the level of multi-tasking. But, thankfully, Dell gives us the option of adding as much as 32GB of RAM down the line.
Speaking of upgrades, if you are too scared to “Get your hands dirty”, consider asking a professional to install the RAM later. After all, RAM modules aren’t that expensive anymore.
If you care about content consumption, then do keep in mind that you get a 15.6″, LCD display (And rather thick bezels), a GTX 1050 for entry-level gaming, 3x USB 3.0 ports, and an average battery life of 7 hours!
The MSI GE65 Raider-051 really does bring that desktop gaming experience in a portable form. It has a 240Hz 15.6″ FHD panel with both anti-glare and wide viewing angles allowing you to game even in the most awkward of setups, and for those troubled by the sunlight. You’ll also receive a response time of 3ms, a perfect combination with the 240Hz refresh rate, enabling you to compete in eSports titles like Valorant and CS:Go. Additionally, the color vibrancy is fantastic with almost 100% sRGB, really making those hues pop.
- Relatively, slim, lightweight, and compact
- Good value for money
- Decent for mid-range gaming
- High refresh rate display
- The RTX 2060 can’t fully take advantage of the high refresh rate display (Struggles to reach 144FPS in most titles – except a few competitive ones, which is where it matters the most, of course)
This is the sweet spot in terms of value. With a 6-core Core i7, an RTX 2060, 16 gigabytes of RAM, and a 512GB SSD, the MSI GS65 is a laptop that is capable enough for both Machine Learning and Deep Learning.
If you’re interested in content consumption as well, then do keep in mind that you’re getting a 15.6 inch, LCD display with a refresh rate of 144Hz and a resolution of 1920 x 1080 along with an RTX 2060 for mid-range gaming.
Other than that, you can get up to 8 hours of battery life (Depending on the kind of usage – power-demanding tasks drain the battery much faster), thin bezels, along with a sleek design as well!
The laptop comes with Windows 10 pre-installed – which is something to be expected at this price point. Last, but not least, you can also install up to 32 gigabytes of RAM down the line. According to MSI, only a single slot is occupied with a 16-gigabyte stick. So, all you’re going to need is an additional 16GB module.
- The best option for content consumption (4K, AMOLED display)
- Big battery
- Decent for mid-range gaming
- RGB keyboard – if you’re into that
- The 1660 Ti version can’t fully take full advantage of the 4K screen in terms of gaming (And playing at a lower resolution may make some games feel blurrier compared to a native 1080P experience)
Gigabyte AERO SA-7US5130SH
This is another great mid-range choice that’s not only a great option for Machine Learning, but also for content consumption. Inside it, you’ll find a 9th gen Core i7, a GTX 1660 Ti, 16 gigs of RAM, and a 512GB Intel 760P SSD as well!
The 1660 Ti may be slightly weaker than the RTX 2060, but it doesn’t make a whole lot of difference for non-gamers. And even for those who do game on it, we’re usually talking about a difference of 20 FPS or so (Even fewer on higher resolutions).
Other than that, one thing that sets this option apart from other mid-rangers is the 4K, AMOLED display! If you don’t find this to be the best laptop for Machine Learning, then you’re at the very least going to enjoy watching movies and playing games on it.
As far as battery life is concerned, you can get an average of 8.5 hours on it – depending on the kind of usage, of course.
One of the key things you’ll notice from this machine is that it forgoes the traditional keyboard/trackpad layout, bringing the keys right to the front of the machine, and instead of a dedicated central touchpad, it offers a combination touchpad/numpad to the right of the device. This has freed up a lot of space for additional cooling vents in space that the keyboard would normally occupy, so concerns over cooling are far less of a factor with this laptop than more traditionally designed laptops.
- By far the best option for those who are interested in gaming
- Big, high refresh rate with GSync
- Comes with some of the most powerful components
- Big and a tiny bit heavier compared to our other options
ASUS ROG Zephyrus S GX701
This is one of the most ideal options for Machine Learning. With a hexa-core i7, an RTX 2080, 16 GB of RAM, and a whole terabyte of SSD storage, there isn’t a whole lot of room for improvement here.
And while Asus hasn’t mentioned anything about RAM upgradeability, there is a good chance that you’ll be able to get up to 32 gigabytes with the necessary swaps.
Apart from Machine and Deep Learning, the ROG Zephyrus is also a superb choice for gaming! After all, we’re looking at an RTX 2080 along with a 17.3 inch, 144Hz, G-Sync certified display.
Other than that, there’s also an RGB keyboard, the option of switching between integrated and dedicated GPUs for better battery life or performance, support for remote charging with a power bank, and much more.
If there’s one downside, then that’s definitely going to be the size. At 17.3 inches, it’s not the most portable choice around. But, in the end, this is a matter of personal preference.
Overall, at this price point, you get the whole package – almost.
- Offers the most powerful CPU that you can get
- 32GB of RAM out of the box
- All around a good choice for gaming, Machine Learning, and anything in-between
- Doesn’t offer the RTX 2080 (Considering the fact that it offers the most powerful components in almost every other category)
MSI P65 Creator-654
This is as close as you can get to the ultimate laptop for Machine and Deep Learning. The only small sacrifice is that instead of an RTX 2080, you get an RTX 2070 – which is still crazy-powerful, of course.
Other than that, the laptop comes with 32 gigs of RAM out of the box, a Core i9, and a 1TB NVMe SSD! If that’s not enough for you, then we don’t know what it’s going to take.
It goes without saying that at this price point, this is a machine that’s not just suitable for work, but for pretty much anything else as well. 4K display (15.6 or 17.3 inches), RTX 2070 for high-end gaming, Thunderbolt 3 connectivity along with a couple of USB 3.2 ports, a premium build, and more.
As per usual, battery life can range anywhere from 2-3 hours all the way to 8 or even more depending on the kind of usage. Gaming and Deep Learning are two of the most demanding tasks – which is why we’d highly recommend keeping it plugged in with cases such as these.
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So, when everything is said and done, which laptop should you pick? Well, to wrap things up as quickly as possible, here is the TL;DR:
Dell Inspiron i5577: Best affordable choice. We wouldn’t recommend buying anything cheaper than that. Even this is barely acceptable
MSI GS65: Best value for money on the mid-range category
Gigabyte AERO SA-7US5130SH: Superb for those who want their laptop not only for Machine Learning but also for watching movies or anything that requires a great display (AMOLED)
ASUS ROG Zephyrus S GX701: In addition to being quite possibly the best laptop for Machine Learning, the Zephyrus S is also one of the best, if not the best choice for gamers
MSI P65 Creator-654: Offers the most powerful processor out of the bunch while also coming with 32 gigabytes of RAM out of the box. The only downside is that it sacrifices a tiny bit of GPU power – quite possibly the best (And most expensive) overall laptop for Machine Learning