As a deep learning enthusiast or a data science specialist, you possibly cannot play around with laggy machines. Deep learning is a powerful interdisciplinary field that demands a terrifically powerful laptop. While desktop computers sure are heavy-duty, they do not offer you the privilege to access work from any place.
And for that very reason, you need a reliable and robust device that can deal with massive amounts of data collection and processing without a hiccup.
To begin with, a decent GPU, a multiple-core CPU, Storage, and RAM are some of the integral features that typically decide if a laptop is apt for deep learning.
Let’s take you through our top 10 laptops for deep learning. We’ve included a few budget options for beginners, while the rest of them are high-end laptops that are great for gaming too, so it’s kind of like grabbing a 2-in-1 deal.
Which are the best laptops for Deep Learning?
1. Acer Predator Helios 300
- Processor: Intel Core i7
- Display: 15.6” FHD
- Graphics: NVIDIA GeForce RTX 2060
- RAM: 16GB
- Storage: 512GB SSD
- Battery Life: 6 hours
The Acer Predator is an absolute powerhouse that’ll suffice all your needs related to deep learning. It is loaded with top-notch hardware and a very capable GPU that ensures an unprecedented performance.
This laptop features a 10th generation Intel Core i7 processor with 6-cores and an overclocking capacity to a whopping 5.0Ghz. Of course, with this impressive set of specs, you can expect an equally fantastic performance. Multitasking is a piece of cake for the Helios 300.
Moreover, with the addition of a dedicated 6GB VRAM and an RTX 2060 graphic card, you can deal with massive amounts of data and immensely increase the speed of training models.
The 15.6 inches full HD display offers some pretty crisp visuals. The screen brightness is at 300 nits is quite ample as well. Other than that, the 16GB Ram ensures fast processing power. Also, the 512GB SSD offers a huge amount of memory with faster loading times.
The 6-hour battery life is quite average though we can’t complain much given the power-hungry system.
Pros
- Performs exceptionally well for the price
- Solid build quality
- Backlit IPS panel
Cons
- Average battery life
2. 2020 ASUS Rog Zephyrus
- Processor: AMD Ryzen 7
- Display: 14” FHD
- Graphics: NVIDIA GeForce GTX 1650
- RAM: 16GB DDR4
- Storage: 1TB SSD
- Battery Life: 8 hours
This fantastic laptop by ASUS offers a long battery life, solid performance, and easy portability. Honestly, that combination is hard to find when we’re on the lookout for powerful machines.
This laptop features an AMD Ryzen 7 processor with eight cores that offer great efficiency due to the multiple threads. The multicore CPU is adequate to perform data processing, computations, or training models.
And the cherry on top is the power efficiency offered by the latest AMD processors. That is probably one huge factor contributing to the 10-hour battery life of this laptop. Moreover, the 14” display offers fine full HD gaming visuals. You can expect a crystal clear viewing experience.
The GeForce Gtx 1650 graphic card is ample for machine learning and AI tasks. The CPU is backed by an additional 4GB of VRAM, hence, eliminating frustrating lags.
This unit is further equipped with a 16GB DDR4 RAM that ensures a snappy performance without freezing issues. The 1TB SSD is, of course, massive and will go a long way.
Pros
- Excellent battery life
- Light as feather
- Convenient keyboard
Cons
- Fans are loud during intense use
3. Lenovo Flex 5 2-in-1 Laptop
- Processor: AMD Ryzen 5
- Display: 14″ FHD Touchscreen
- Graphics: AMD Radeon Vega 6
- RAM: 16Gb DDR4
- Storage: 256Gb SSD
- Battery Life: 10 hours
The Lenovo Flex 5 is a budget option designed for flexibility and allows you to flaunt your creative freedom at any place.
This laptop is equipped with an AMD Ryzen 5-4500U processor (clockable up to 4.2GHz), which carries quite enough power for multitasking. The Ryzen 5 processor is a capable option as long as you’re a learner. As you move to advanced DL, you’ll need to upgrade to a better processor.
The 14” FHD IPS display is a great approach for a workstation. The visuals are crisp and vibrant overall, whereas the brightness levels are mediocre.
The Ram at 16 GB is just the right capacity for machine learning. Paired with a 256GB SSD, it allows the laptop to power through intense tasks. You can deal with a considerably huge amount of data without any freezing issues.
Additionally, this notebook is loaded with Radeon Vega 6 mobile graphics that work quite well with the very capable CPU. To sum up, I’d say that the build quality is excellent and the laptop sure does offer a versatile functioning.
Pros
- Sleek and lightweight
- Reliable battery life
- Narrow bezel
Cons
- Display not bright enough for outdoor use
4. HP Pavilion x360 Convertible
- Processor: 11th Gen. Intel Core i5
- Display: 14″ FHD Touchscreen
- Graphics: Intel Iris Xe
- RAM: 8 Gb DDR4
- Storage: 256Gb SSD
- Battery Life: 8h 15min
This 2 in 1 option by HP is an excellent budget option for beginners in machine learning. Or, even if you want to get the most out of your non-GPU laptop, you can work your way around with cloud computing services like Google Colab.
Coming back to the specs and starting with the 11th Gen. Core i5 processor clockable up to 4.2GHz for an impressive performance during intense tasks. The system is highly responsive and can deal with a decent amount of data processing.
The 14″ FHD touchscreen comes with an IPS panel. The touchscreen is easy to operate, and the visuals are quite vibrant with true-to-life colors. The Intel Iris Xe graphics render stunning visuals but are only efficient for beginner deep learning.
The 8GB RAM again is the bare minimum for deep learning. The 256GB SSD memory is also okay, keeping in mind the rest of the features. Apart from that, the innovative design allows you to flip, bend, or flex the laptop and use it in different modes.
Pros
- Decent battery life
- Crisp visuals
- Efficient performance for the price
Cons
- Not suitable for complex deep learning
5. MSI GL66 Gaming Laptop
- Processor: Intel Core i7
- Display: 15.6” FHD
- Graphics: NVIDIA GeForce RTX 3070
- RAM: 16Gb
- Storage: 512GB SSD
- Battery Life: 5 hours
Terrific performance with multiprocessors and a seamless operation of tasks is what you should expect from this amazing device.
The MSI GL66 is loaded with a Core i7 processor. It is an octa-core unit that will effortlessly handle the vast datasets of complex deep learning. This 11th generation CPU will easily handle any tasks you throw at it.
The 15.6” FHD display serves well for a workstation. The thin bezel display delivers a fantastic viewing experience with vibrant and accurate colors.
Apart from that, your productivity will be improved by two folds with the dedicated 8 GB GPU and the GeForce RTX 3070 card. This powerful GPU renders higher efficiency for training and inference purposes.
Next, the RAM and storage capacity of this powerhouse is totally up to par. The 16 GB Ram paired with the 512GB of SSD memory ensures a stutter-free performance even with the most intensive tasks.
Overall, the laptop is highly recommended for any and every kind of machine learning, deep learning, or AI stuff.
Pros
- Backlit keyboard
- Lightweight yet powerful
- Anti-glare screen
Cons
- Short battery life
6. HP 14 Laptop
- Processor: AMD Ryzen 5-5500U
- Display: 14″ FHD
- Graphics: AMD Radeon Vega 8
- RAM: 8Gb
- Storage: 256Gb SSD
- Battery Life: 9 hours
This 14-inch laptop by HP is yet another decent option for the beginners out there. It offers a reliable battery life and swift processing of most tasks.
It is equipped with an AMD Ryzen 5-5500U processor that provides an incredible multitasking ability to the laptop. However, I’ll be honest that you can’t unlock the full potential of deep learning and AI with this processor.
The 14-inch FHD display with an anti-glare panel is undoubtedly a plus point for the laptop. The micro-edge bezels offer a seamless viewing experience on the vibrant and clear screen.
As a beginner, the CPU will easily suffice you. Although, I’d suggest you upgrade the RAM from the stock 8GB capacity. A 16GB RAM paired with the mentioned processor will noticeably improve the functionality of the laptop.
Besides that, the 256GB SSD storage is also sufficient. The Radeon Vega 8 graphics are impressive, too, for the price point.
Overall, the laptop is an excellent option for anyone looking for a budget device for machine learning at the beginner level.
Pros
- Travel friendly
- Long lasting battery life
- Can handle mid-level gaming
Cons
- Needs a RAM upgrade
7. 2021 Flagship Dell Inspiron 15 5000
- Processor: Intel Core i7
- Display: 15.6” FHD
- Graphics: Intel Iris Xe
- RAM: 16Gb DDR4
- Storage: 512Gb SSD
- Battery Life: 8 hours
If you’re looking for a work unit with solid battery life, then this one by Dell is a nice option.
This laptop comes equipped with an 11th generation Core i7 processor with a turbo boost capacity of up to 4.7GHz. It is a quad-core processor that can easily deal with day-to-day tasks. The system is quite responsive and offers a smooth, lag-free function.
However, with the Intel Iris Xe graphics, this laptop might not be your best bet for deep learning. But if you’re a beginner, you can leave everything to the very capable CPU and forget about the graphics capacity.
The 15.6” LED-backlit display is not something I’d like to write home about. It is an anti-glare display which sure is a plus point. But overall, visuals are mediocre at most.
The combination of a 16GB RAM and 512GB SSD is always welcome. You can easily rely on this unit for many power-intensive tasks. The bootup time is minimal, thanks to the SSD. And the laptop overall offers quite a stellar performance.
Pros
- Powerful CPU
- Sleek and sturdy build
- Impressive specs at a competitive price
Cons
- Keyboard isn’t great
8. Razer Blade 15 2020
- Processor: Intel Core i7-10750H
- Display: 15.6” FHD
- Graphics: NVIDIA GeForce Gtx 1660Ti
- RAM: 16Gb
- Storage: 256Gb SSD
- Battery Life: 6 hours
This laptop by Razer is a sleek and compact unit that’ll allow you to get the work done anywhere.
This device is loaded with a 10th generation Intel CPU. A hex-core i7-10750H processor with a turbo boost up to 5.0GHz offers unrivaled performance.
The addition of a dedicated GPU with GeForce Gtx 1660Ti card, of course, makes the performance 10x better, easier, and faster. It’ll allow you to work around network architectures and huge datasets in a better place.
The 15.6” FHD display with an IPS panel offers great viewing comfort, and the narrow edge bezels provide a better screen view. Apart from that, the 16GB Ram is just up to our requirements.
However, I’m not happy about the 256GB SSD because you can get better options at the same price point or even less. But anyway, an empty M2 slot offers an upgrade facility, so we’re good!
Pros
- Sleek and compact design
- Incredibly fast
- Great for programmers and gamers alike
Cons
- Insufficient storage
9. CUK GP75 Leopard by MSI
- Processor: Intel Core i7
- Display: 17″ FHD
- Graphics: NVIDIA GeForce RTX 2070
- RAM: 32Gb
- Storage: 512Gb SSD
- Battery Life: 5 hours
You can train huge datasets and complex models on this power giant without experiencing any frustratingly slow processing times. Here’s why:
This laptop features an eight-core Intel i7 processor, clockable up to 5GHz. It carries enough power to grind throughout all the tasks. The processor makes the laptop swift, responsive, and capable of handling multiple tasks or intensive applications at a time.
The killer NVIDIA GeForce RTX 2070 card with an 8GB dedicated VRAM ensures a seamless function of the system. You can run multiple neural networks and practice with huge datasets or even play around with parallel computing on this device.
Moreover, this laptop is the only 17″ display option in this list because it doesn’t compromise much on the portability despite being huge. Anyway, the IPS display is totally on point.
The massive 32GB RAM ensures trouble-free performance and makes this laptop the powerhouse it is. The 512GB SSD memory is also apt for deep learning.
Pros
- Massive RAM capacity
- Strong dedicated GPU
- Suitable for pro DL, AI, or ML
Cons
- Needs a charge quite often
10. Lenovo Legion 5 15
- Processor: AMD Ryzen 7-5800H
- Display: 15.6” FHD
- Graphics: NVIDIA GeForce RTX 3050Ti
- RAM: 16Gb DDR4
- Storage: 512Gb SSD
- Battery Life: 5 hours
The Lenovo Legion 5 15 is a worthy budget option for deep learning.
It is equipped with a powerful AMD Ryzen 7 processor, including eight high-performing cores. This laptop can thus handle intense applications and perform a variety of tasks simultaneously.
Additionally, this laptop is loaded with a very capable GPU, making it an ideal option for machine learning operations. The RTX 3050Ti is a ridiculously powerful card with 3rd gen. AI Tensor cores that make it apt for DL.
The display is a stunning FHD 15.6” screen with an IPS that minimizes glare and promotes eye comfort during long work hours. The laptop boasts a backlit RGB keyboard which is quite convenient as well.
The combination of 16GB DDR4 RAM and 512GB SSD memory can never go wrong. The RAM supplements the powerful CPU to create a fast and responsive system overall.
Lastly, the battery life is not something I can rave about, but complaining of the given specs will be unfair too, so let’s leave it like that.
Pros
- Budget friendly
- Performance exceeds expectations
- Powerful CPU and GPU
Cons
- Mediocre trackpad performance
Best Laptops for Deep Learning: Buying Guide
Deep learning itself is way too complex; however, it doesn’t mean that your hunt for a perfect laptop should be as complex. To defy all the stress of finding the right laptop from many available options, we’ve put together this brief yet comprehensive guide.
You can look at it and find out what features exactly should be on your wishlist!
Processor
First and foremost, your laptop’s processor decides the amount and intensity of deep learning tasks it’ll be able to handle.
For anyone who’s not way into the complex game of deep learning or maybe just on the beginner level, an 11th Gen. Core i5 or Ryzen 5 processor will be a good option. These processors are available at a budget-friendly price, however, you can only expect them to handle small datasets or simple learning activities that too, at a very average processing speed.
For the professionals out there or those who want to practice complex models, you should look for a Core i7 or higher/equivalent processor with multiple cores. Only then you’ll be able to run massive datasets and do some real work. But of course, these high-end processors come at a price.
I’d suggest you invest in a capable CPU even if you’re a beginner because sooner or later, you’ll feel the need for it as you progress.
RAM and Storage
The RAM capacity of your laptop decides how quickly it’ll be able to process the complex algorithms of machine learning. Therefore, you should look for a decent Ram size.
The recommended RAM capacity for a laptop that’s intended for deep learning is 16GB. Anything above that will be a game-changer. In contrast to that, 8GB is the bare minimum for a laptop of this kind, and we don’t suggest settling for that unless you can upgrade it in the long run.
And if we talk about the storage capacity, that too is a primary factor in creating an efficient workstation. The minimum storage requirement for a laptop used for deep learning is 256GB of SSD memory. However, you’ll need to upgrade it over time.
A better option is a laptop with 512GB of SSD memory that ensures a snappy performance and processing of tasks apart from providing sufficient storage. A hard disk drive alone is not recommended, but pairing it with an SSD makes an incredible unit.
GPU
If you’re a complete novice in deep learning, then good news you can suffice with a non-GPU laptop. You can quickly learn on a basic laptop by using cloud computing services. And for that very reason, we’ve included around 3 Non-GPU laptops at a budget-friendly price for anyone who’s not ready for the investment.
Anyway, for others who are interested in serious things or are professionals, a GPU is indispensable. You need to look for a dedicated Graphics Processing Unit with a sufficient amount of VRAM and a capable graphics card such as the GeForce GTX 1550 at the least.
Of course, high-end options like the RTX 2060 or 3070 are suggested for an unprecedented performance without any issues. A dedicated GPU unit increases the efficiency and productivity of deep learning around ten times than on a laptop without it.
Frequently Asked Questions
Which laptop is best for deep learning?
It’s hard to nominate a single name but the CUK GP75 Leopard by MSI is stellar in terms of performance and is a powerhouse indeed.
What is the best laptop for Artificial Intelligence?
The Acer Predator Helios 300 is a great option for dealing with the complex AI algorithms with its snappy processor and powerful GPU.
What is the best laptop for machine learning in 2022?
Machine learning deals with lots of complex algorithms and computation and I really think that the Lenovo Legion 5 15 is a fantastic workstation for that.
What computer is good for deep learning?
If you’re a beginner, an entry level computer would do. However, if you’re too much into learning and practicing DL, look for high end machines with capable CPU and GPU.