When you’re looking for an ideal laptop that will be a great fit for machine learning, you can’t leave anything up in the air. That’s why we’ve spent hours finding the best laptops for machine learning, reviewing them and writing an article about them.
It can be really tricky to find a perfect laptop for your needs since you have to pay attention to a lot of different aspects in the world of machine learning, but it’s definitely possible!
Now when we know it’s impossible, we went a step further to make it as simple as possible, providing the best laptops for machine learning. All you have to do is carefully read this post and choose a laptop that fits your needs the best.
Lineup At A Glance
Best Laptops for Machine Learning In 2020
Asus ROG Zephyrus S – Heat Proof Laptop
Machine learning is all about technology, and Asus ROG Zephyrus M features an immersive display that has the ability to offer a 144Hz refresh rate. At this refresh rate, you’ll get everything that an eye can meet so your work is as smooth as it can get.
With 3ms response time – you will even be able to do a lot of competitive gaming too.
If you’re a person who loves working on the go (or it’s most likely you’re supposed to work from different locations), you’ll never have to worry about taking care of your laptop.
It features a solid durable chassis that offers a lightweight design, easier portability, and much more improved cover.
Combine an aluminum body and Rog’s active aerodynamic system and you’ll get a laptop that’s ice-cold even when you’re dealing with very heavy processing tasks.
Not only this laptop’s performance won’t slow you down – but you’ll be able to get work done right from your lap, wherever you are.
Hardware Specifications for Asus ROG Zephyrus S
CPU: Intel Core i7-9750H| Graphics: NVIDIA GeForce RTX 2070| RAM: 16GB RAM | Screen: 15.6-Inch 1920×1080 IPS display| Storage: 512GB SSD| Operating System: Windows 10| Battery Life: up to 4 hours | Weight: 4.63 lbs
MSI GS66 – Powerful Components
So you can focus strictly on your work and get less distracted, ultra-thin IPS display which combines well with powerful components will provide a crystally clear view no matter the angle.
What we’ve noticed when we took this laptop to the park is that this display also features anti-glance technology that will make working in the sunshine a lot easier.
MSI GS66 is being upgraded with the newest Intel components that definitely put this laptop on top of our list.
Other than a 6 core processor that can be boosted up to 5.0 GHz, graphics card NVIDIA GeForce RTX 2070 comes with dedicated 32GB of RAM that will make work as smooth as possible.
Not only MSI did well by putting an amazing combination of components inside a sleek body design, but they’ve gone a step further to optimize these components for the ultimate performance.
6 core technology boosts the performance levels of these components for amazingly 20%. And if you compare it with previous generations – you’ll be even 50% faster no matter what tasks you’re handling.
Hardware Specifications for MSI GS66
CPU: Intel Core i7-10750H| Graphics: NVIDIA GeForce RTX 2070| RAM: 32GB RAM | Screen: 15.6-Inch 300Gz 1920×1080 IPS display| Storage: 512GB SSD| Operating System: Windows 10| Battery Life: up to 6 hours | Weight: 4.63 lbs
Dell Inspiron – Cheapest High-End Graphics
Even though this configuration features Intel i5, it’s still using one of the latest processors available which makes it as strong as other configurations out there. It definitely can handle machine learning easily.
What’s even better yet is a dedicated graphics card which is NVIDIA GeForce GTX 1050 Ti, making this laptop suitable even for gaming over the weekend.
While this laptop might not feature one of the best configurations out there, it’s surely being one of the top laptops in terms of design.
Even though it’s on a thicker side, Dell used this as an advantage to increase the connectivity. However, portability isn’t sacrificed and you’ll still be able to take this laptop anywhere.
Strong & durable design will pay extra attention while you’re paying attention to your work.
Dell didn’t sacrifice either in terms of a display. This laptop features a widescreen LED-backlit display that comes with a full HD resolution of up to 1920 x 1080 pixels.
For a 15.6-inch screen, this is a really solid display that offers a great viewing experience. And considering the price – it’s totally worth it.
Hardware Specifications for Dell Inspiron 7567
CPU: Intel Core i5-7300HQ| Graphics: NVIDIA GeForce GTX 1080 Ti| RAM: 8GB RAM | Screen: 15.6-Inch Full HD Backlit display| Storage: 256GB SSD| Operating System: Windows 10| Battery Life: up to 6 hours | Weight: 6.61 lbs
Acer Helios 300 – Best IPS Choice
Whatever you’re doing on this laptop, you’ll notice superfast loading speeds. From the moment you start up the laptop to the moment when you’re an hour deep in heavy-duty & high-processing work.
A combination of powerful Intel configuration, dedicated graphics card & IPS display definitely stands out no matter the type of work you’re dealing with.
This laptop features a 144 Hz refresh rate which makes things such as motion very smooth for the human eye.
Combined with only a 3 ms response rate, this laptop is ideal for work where precision matters.
Even though Acer made Predator Sense software with a purpose of gaming, it’s still a great piece of software that provides customization and controls for some of the configurations features such as system temperature, CPU fan speed, and system fan speed.
This allows you to be connected even better with a simple piece of software that comes included.
Hardware Specifications for Acer Helios 300
CPU: Intel Core i7-9750H| Graphics: NVIDIA GeForce GTX 1660| RAM: 16GB RAM | Screen: 15.6-Inch Full HD 144Hz display| Storage: 512GB SSD| Operating System: Windows 10| Battery Life: up to 4 hours | Weight: 5.29 lbs
Eluktronics Pro-X – Future-Proof Workstation
Eluktronics doesn’t play around as they feature some of the high-end Intel configurations to provide the ultimate processing power you need to push through the heaviest workload and its future proof laptop.
The Intel processor is being combined with an NVIDIA GeForce GTX 1070 graphics card which is VR ready and even features G-Sync feature – so you won’t miss out on anything.
The dedicated graphics card featured in this laptop is NVIDIA GeForce GTX 1070 which comes with its dedicated 8GB of RAM.
It’s VR ready, supports G-sync, and even features GPU overclock software that allows users to take the fullest advantage of the graphics processing power.
Combine the ultra-powerful configuration with a 15.6” IPS display that has a refresh rate of 120 Hz and response time of only 5 ms – you get something most people in the machine learning industry are wishing for.
You’ll never think of connecting this laptop to an external display – which will save you both time and money, and yet you’d enjoy a vivid and bright image at all times.
Hardware Specifications for Eluktronics Pro-X
CPU: Intel Core i7-7700HQ| Graphics: NVIDIA GeForce GTX 1070| RAM: 32GB RAM | Screen: 15.6-Inch 120Hz Full HD display| Storage: 512GB SSD| Operating System: Windows 10| Battery Life: up to 5 hours | Weight: 6 lbs
Microsoft Surface Pro 7 – 2in1 Workstation
This 2in1 portable laptop is best suited for machine learning, it has all the specs to be fitted into the criteria.
The Microsoft Surface Pro 7 is powered by the latest Intel Core i7 processor to perform heavy tasks like machine learning, backed by 16GB RAM and an extra 256GB SSD to provide massive storage. The GPU is of high quality to perform any tasks you threw at it.
The battery is very good, that it could run for up to 13 hours so you don’t have to worry about working away from an outlet.
Hardware Specifications for Microsoft Surface Pro 7
CPU: Intel Core i7 10th-Gen| Graphics: Intel Iris Plus Graphics| RAM: 16GB RAM | Screen: 12.3-Inch 2736×1824 display| Storage: 256GB SSD| Operating System: Windows 10| Battery Life: up to 10.5 hours | Weight: 2.45 lbs
Apple MacBook Pro – Best iOS Option
Apple introduced CoreML, a great framework to get you introduced to machine learning it provides ready to use models that can be integrated into iOS apps.
Apple MacBook Pro 7 is powered by the latest Intel Core i7 processor and AMD Radeon Pro graphics to ensure smooth working experience, the 512GB storage is more than enough to store your raw files.
If you are new to machine learning, iOS CoreML can help you establish yourself. There are ready to use models for you to experiment with. Apple MacBook is Definitely a great buy for you!
Hardware Specifications for Apple Macbook Pro
CPU: Intel Core i7| Graphics: AMD Radeon Pro 5300M| RAM: 16GB RAM | Screen: 16-Inch 3072×1920 display| Storage: 512GB SSD| Operating System: iOS| Battery Life: up to 10 hours | Weight: 8.23 lbs
MSI P65 Creator – Ultimate Workstation
This powerful machine is made for gaming but the specs are an easy pick for machine learning as well.
Built by aluminum but the thin structure, sleek design with 15.6-inches UHD 4K display to produce vivid images and stunning visuals to ensure your eyes will not strain after long hours of work.
Packed with the latest Intel Core i7-9750H and NVIDIA GeForce RTX 2060 it is powerful enough for any heavy tasks or even playing high-res games. Machine learning is a piece of cake for this device.
So, if you want an ultimate workstation, this beast is for you!
Hardware Specifications for MSI P65 Creator
CPU: Intel Core i7-9750H| Graphics: NVIDIA GeForce RTX 2060| RAM: 32GB RAM | Screen: 15.6-Inch 3840×2160 display| Storage: 1TB SSD| Operating System: Windows 10| Battery Life: up to 5 hours | Weight: 8.28 lbs
Gigabyte Aero 15 – Laptop For AI
It has a 15.6-inch AMOLED display with 144Hz refresh speed, you can see a vivid image and color accuracy for refreshing visual experience while on the job.
Gigabyte Aero 15 is power by latest Core i7 and NVIDIA GTX 1660 to take on any heavy tasks you might work on, including machine learning, AI, and deep learning!
The battery timing is good enough to do plenty of work, it would last up to 5 hours in extensive use and could last up to 9 hours for general use.
The Gigabyte Aero 15 is portable enough to carry anywhere you want, this powerful machine is a perfect match for you.
Hardware Specifications for Gigabyte Aero 15
CPU: Intel Core i7-9750H| Graphics: NVIDIA GeForce GTX 1660| RAM: 16GB RAM | Screen: 15.6-Inch Thin Bezel Amoled display| Storage: 512GB SSD| Operating System: Windows 10| Battery Life: up to 5 hours | Weight: 5 lbs
Dell XPS 15 gives 100% Adobe RGB rate for a sharp image of not destroying pixels and a 5.9mm thin bezel for an almost borderless look.
This premium machine is powered by Intel Core i7-9750H and NVIDIA GTX 1650, a powerful combination to ensure powerful gaming and working experience. Machine learning? Well, Dell XPS could surely chew the development.
The 256GB storage is upgradeable to 2TB if ever you needed some space for your work files.
If you’re a person who prefers a quality build machine, this one’s for you!
Hardware Specifications for Dell XPS 15
CPU: Intel Core i7-9750H| Graphics: NVIDIA GeForce GTX 1650| RAM: 16GB RAM | Screen: 15.6-Inch 4K UHD Anti-reflective display| Storage: 256GB SSD| Operating System: Windows 10| Battery Life: up to 8 hours | Weight: 5.51 lbs
Picking The Best Laptops For Machine Learning In 2020
Machine learning involves a lot of artificial intelligence requirements and even if you don’t know it yet, you’ll need a pretty powerful laptop that will be able to handle a lot of different software that will require a top-notch performance.
Even though there isn’t a lot of programming going on, a lot of testing and even graphics use is happening which only increases the use of both processor and graphics card.
You can’t forget about memory and storage either, which is equally important. Having top-notch components that will be reliable and will never slow you down is definitely important. You don’t want to stall due to the laptop and you definitely don’t want to run out of storage or memory when you need it the most.
Dealing with it now instead of later is the right way to go, and any of these laptops will last you for at least a few long years.
Working on machine learning and artificial intelligence isn’t easy and you’ll often find yourself working on a laptop for hours, day to day, month to month. Having a display that not only offers a decent resolution but is made using a quality display panel is crucial for both comfort of your eyes and, in the long run, better progress and results.
Most modern displays offer a high resolution, some even 4K resolutions which might be great if you’re dealing with graphics software that can handle up to 4K resolutions.
Other than the resolution, pay attention to the brightness, gamma, sharpness, and color in general. The easiest way to judge the quality of a screen is by paying attention to the display panel. We recommend going for an IPS display type since it offers a great image combined with a great viewing experience & resolution.
Believe it or not, the touchpad is something we find to be very necessary for machine learning, and while most technicians don’t notice it – we can’t stress how important it is.
Even if you think you’ll always be using an external mouse, there will be times when you will have to rely on the touchpad so you better make sure you have a quality touchpad on your laptop.
It’s also important for people who are working with many different external devices or from different places. Most modern touchpads come with the multi-touch gestures that don’t only make the work faster but also more efficient. If you’re a big multi-tasker – this will be one of the most crucial things to look at your new laptop.
Connectivity is one of the 5 most important aspects of a laptop you should be looking into. However, this is a criterion that almost every person who’s working on machine learning is aware of.
Other than connecting your desired peripherals, you will be working with a lot of different devices. Most of them will have to be connected to a laptop in order to work, while others will have to be connected to a laptop anyway in order to adjust them and work on its improvements.
A laptop that comes with two different versions of the USB port is a must, along with other ports such as HDMI, SD card slot, and any other ports you additionally require.
If the laptop doesn’t feature all your necessary ports, you will have to settle with a port extension gadgets.
Even though machine learning doesn’t actually involve a lot of programming, it still requires a lot of storage for the necessary files, software, and projects.
We recommend always going for the SSD type of storage unless you’re on a very tight budget. Then a 7200 RPM HDD drive will do, until the later upgrade.
If you are able to find a combination of two SSD drives in a laptop, that’s even better and we highly recommend you to go for it. Also, double the amount of storage you think you’ll be needing.
It’s always better to have more than to lack storage when it’s one of the most important aspects of a laptop for machine learning. We highly recommend installing both software and operating system on an SSD storage drive to increase the performance.
Frequently Asked Questions
How important is the GPU for a machine learning laptop?
GPU is very important when you’re looking for a specific laptop for machine learning use. Since machine learning requires a bit more in-depth graphics use, we always recommend you never settle with an integrated graphics processor.Instead, a dedicated graphics card is a must – and that’s why most gaming laptops are suitable for machine learning use.
Is SSD storage crucial for machine learning laptop use?
We highly recommend going for SSD storage drive and since you’re dealing with high-end laptops that are a great fit for machine learning – they will most likely feature an SSD drive. We would only recommend you to go with a 7200 RPM HDD if you’re on a very very tight budget.Other than that, combining two SSD’s is the ideal way to approach machine learning.
How much RAM is the minimum criteria for a machine learning laptop?
We recommend going with at least 6 or 8 GB of RAM since the software and technology is developing and even 6 GB might not be enough in a few years.