The 11 Best Laptops for Deep Learning, ML, and AI [2024]

Are you searching for the best laptops for Deep Learning, Machine Learning, and AI?

With experience in Data Science and Machine Learning, I recommend top-notch laptops tailored for Deep Learning and Artificial Intelligence.

All the laptops we’ve selected offer exceptional specifications and great value for your investment.

Data science and AI are rapidly growing and demand robust infrastructure due to the increasing data volumes.

For independent experimentation, consider Google Colab, a free GPU-enabled platform. You can also opt for the Google Colab Pro plan with a dedicated GPU.

Before going into laptop choices, consider essential factors like features and price for your intensive learning needs.

Need help with which laptop to choose?

In our experience, high-performance laptops like gaming machines are excellent Machine Learning and Data Science options thanks to their powerful processing power.

Our laptop recommendations primarily focus on gaming laptops known for their strong performance.

Deep Learning, a subset of machine learning and AI, closely mirrors human knowledge acquisition. For such tasks, a powerful laptop is a must.

This entails a strong GPU coupled with capable CPUs. With these, machine learning processes can be relatively easy, especially those involving graphics and video.

To simplify your search, we’ve compiled a list of 11 laptops, each meeting the essential specifications required for machine learning, deep learning, and AI.

Overview: TOP 3 Best Laptops for ML, Deep Learning, and AI

Image Product Feature Price
Apple MacBook Pro M2
Apple MacBook Pro M2
  • Processor: Apple M2
  • Graphics: Apple M2
  • RAM: 16 GB
  • Storage: 512GB SSD
  • Battery: 58.2 WHr
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Acer Nitro 5 Laptop
Acer Nitro 5
  • Processor: 12th Gen Intel Core i7-12700H
  • Graphics: NVIDIA GeForce RTX 3060
  • RAM: 16 GB
  • Storage: 512GB SSD
  • Battery Life: 8 Hours
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Razer Blade 15 Laptop
Razer Blade 15
  • Processor: 13th Gen Intel Core i7-13800H
  • Graphics: NVIDIA GeForce RTX 4060
  • RAM: 16 GB
  • Storage: 1TB SSD
  • Battery: 80Whr, 4-cell Li-Po
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What to Look for in a Deep Learning Laptop?

When it comes to the PC components necessary for deep learning, the specifications will determine the speed at which you can run deep learning software.

All the laptop components are crucial, like CPU, GPU, RAM, Storage, Battery Life, Screen Quality, Portability and Durability, etc.

If you want to learn more about your Laptop’s features, please read the buying guide section.

Please follow the guide below if you want a good laptop for deep learning.

Mid-Range Picks

Premium Picks

Cheap/ Affordable Picks

1. Need a Powerful Processor

If you want good performance in a laptop, you must first buy a better-quality processor.

You should check the CPU’s generation, model, and number of cores.

If you want to use deep learning technology well on your Laptop, you must use at least the latest generation of i5 processors. If your budget is a little less, you can buy an AMD Ryzen 5 CPU.

Recommended Processor

Intel Core: 13th Gen i7, 12th Gen Core i7, 13th Gen i5, 12th Gen i5, 13th Gen i9, 12th Gen Core i9

AMD: Ryzen 7 7800, Ryzen 7 6800HS, Ryzen 7 5800HS, Ryzen 5 5600, 6600, 7600, and Ryzen 9

2. It should have a good Graphics Card

In deep learning, machine learning, and artificial intelligence, a high-quality GPU is essential. A laptop with a graphics card of the quality typically needed for deep learning will excel in all tasks.

Opt for a dedicated, powerful NVIDIA graphics card. You can find laptops with the latest integrated graphics on a tight budget. Some shared graphics cards, like Intel Iris Xe, outperform certain older dedicated graphics cards.

Recommended Graphics Card

Integrated: Intel Iris Plus, Intel Iris Xe

Dedicated: NVIDIA GeForce GTX 1660 Ti, RTX 2050, RTX 3060, RTX 3070, RTX 3080, RTX 3090, RTX 4050 RTX 4060, RTX 4070, and RTX 4080.

The latest NVIDIA GeForce RTX 3080, 4060, 4070, and 4080 will be the best GPU laptop for deep learning, machine learning, and Artificial Intelligence.

3. Choose More Memory and the Latest Storage

You already know that the more RAM the laptop has, the better it will perform. SSD drives are becoming very popular nowadays, so you must take the minimum SSD in any laptop and select the Laptop with maximum memory.

Recommended Memory


Recommended Storage Drive

Storage: 128GB SSD+HDD, 256GB SSD, 512GB SSD, 1TB SSD or More

The Best Laptops for Deep Learning, Machine Learning, and AI: Top Picks

Mid-Range Picks

TitleOur RatingsTypeCPUGPURAMStorageBatteryDisplay
Apple MacBook Pro M210/10AllApple M2Apple M216GB LPDDR5512GB SSD58.2 Whr13.3-inch UHD 60Hz
Acer Nitro 59.5/10Gaming12th Gen Intel Core i7-12700HNVIDIA GeForce RTX 306016GB DDR4512GB SSD57.5 Whr15.6-inch FHD 144Hz
Dell G15 55308.5/10Gaming13th Gen Intel i5-13450HXNVIDIA GeForce RTX 30508GB DDR5512GB SSD56 Whr15.6-inch FHD 120Hz

1. Apple MacBook Pro M2

Best for Machine Learning

Apple MacBook Pro M2 2022
Image Credit: Apple

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CPU (Processor)Apple 8-core M2 Chip
GPUApple 10-core GPU
Storage512GB SSD
Screen13.3-inch Liquid Retina; True Tone display, (2560×100 pixels); 500 nits brightness
Weight3 pounds (1.4 kg)
Battery LifeUp to 20 hours
OthersTwo Thunderbolt / USB 4 ports, Wi-Fi 6, Bluetooth 5.1, and a Fingerprint sensor
✔ Stunning Display with Notch Design
✔ Machine Learning Level Performance
✔ Powerful Processor
✔ Decent Sound Quality
✔ Very Slim and Lightweight
✔ Excellent Battery Life
✔ Thunderbolt 4 port and Wi-Fi, Bluetooth Connectivity
✘ Expensive
✘ Lack of Type-A Port

Apple’s MacBooks are known for being powerful, and the MacBook Pro is no different. Unlike the older versions, it doesn’t have the same sleek and simple design.

However, it would have been nice to have a different performance and a more classy look than ever. Apple MacBook Pro M2 is the best machine-learning laptop on our list.

The MacBook Pro M2 has a thicker bezel around its 13.3-inch IPS display than some of its competitors and would be perfect if it could be slowed down.

The MacBook Pro has a Quad HD panel with shiny quality that Provides brighter images of 500 nits. Apple used this laptop’s iris True Tone technology feature to adjust color and intensity.

The MacBook Pro M2 has 16GB of unified memory, so everything you do is fast and smooth. Its 512 GB storage capacity in the drive provides additional storage space to launch applications and open files immediately.

If you want to store data, documents, etc., please use the External SSD or HDD.

The MacBook Pro has a Quad HD panel with shiny quality that Provides brighter images of 500 nits. Apple used this laptop’s iris True Tone technology feature to adjust color and intensity.

The MacBook Pro M2 has 16GB of unified memory, so everything you do is fast and smooth. Its 512 GB storage capacity in the drive provides additional storage space to launch applications and open files immediately.

If you want to store data, documents, etc., please use the External SSD or HDD.

I like the touch bar, but it is still in its infancy. Over time, more applications will become compatible with the touch bar making it unavoidable.

Slim and portability help improve your desk space better than most of its competing notebooks. The MacBook Pro’s weight is only 3.0 pounds (1.4 kg), making it portable. It’s 13.3.-inch variants are designed to offer greater portability and lower weight.

Apple is designed to compete with Windows 11 and other Windows-based machines and is excellent for workstations and gaming laptops.

The MacBook Pro M2 features the latest octa-core M2 chip designed by an Apple processor. The newly designed M2 Processor’s speed ceiling makes it a massive leap in CPU, GPU, and machine learning performance.

The battery can easily maintain an entire workday without charging. For regular use, such as video streaming, surfing the internet, etc.

The battery can serve up to 20 hours with fast charging, which is more than most battery life experienced with many premium laptops, with an average time of 8 hours.

I like the Force Touch trackpad with the pressure-sensing capability and cursor control. While it is priced, it is one of the best laptops to offer high power and performance.

Read our Apple MacBook Pro M2 Review

2. Acer Nitro 5

Acer Nitro 5

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CPU (Processor)12th Gen Intel Core i7-12700H processor
GPUNVIDIA GeForce RTX 3060 (6GB dedicated GDDR6 VRAM)
RAM16GB DDR4 3200MHz Memory
Storage512GB PCIe Gen 4 SSD
Screen15.6-inch FHD IPS display ;144Hz refresh rate and 3ms response time
Weight5.51 lbs (2.5 kg)
Battery LifeUp to 8 hours
OthersRGB Backlit Keyboard, Wi-Fi 6, Bluetooth 5.1, Windows 11 Home
✔ Affordable Price
✔ Latest and Powerful Processor
✔ Dedicated GPU
✔ Wireless Wi-Fi 6 Convenience
✔ Provides very loud sound with DTS X Ultra
✔ 144Hz Refresh rate Display
✘ Little bit Heavy
✘ Noisy Fan

Now for those who read our reviews too much, you might have never heard of Electronics. One of the best laptops for Deep learning is the Acer Nitro 5. This is not surprising; it is a relatively new brand aiming to outbid big dogs.

The Acer Nitro 5 has been a talk in the tech scene for some time now for a good reason. This device is very powerful and can easily do heavy work like machine learning; the Nitro 5 is making waves. It has a 15.6″ Narrow Bezel Full HD IPS 144Hz Anti-Glare Display.

The Acer Nitro 5 comes with the same Intel 10th Generation Intel Core i7-12700H processor, a ridiculous 512GB Ultra Performance PCIe NVMe SSD, 16GB DDR4 SDRAM, and 6GB GDDR6 VRAM NVIDIA GeForce RTX 3060 Graphics Card. These components provide a modest performance advantage over the Various Devices.

The screen is equally stunning, Although the refresh rate is 144 Hz, which is Impressive. The screen is still very smooth, though; for the untrained eye, you won’t be able to tell the difference.

It is manufactured from a special type of magnesium that allows a mixture of premiums and gives Durability and portability.

The Nitro 5 has a strong and long-life battery, giving the best battery life of any performance-intensive learning rig tested. It has a glass touchpad which allows for an unmatched level of control, and every touch registers just right. This is extremely important in a laptop that is designed to be very powerful and portable.

Another place where the Acer Nitro 5 shines is through its various ports and connectivity. USB 3.2 Type C Gen 2 port, one – USB 3.2 Gen 2 Port, two – USB 3.2 ports, and one – HDMI 2.0 Port with HDCP Support should have enough ports for anyone.

The Gigabit Ethernet RJ45 is one of the best Wi-Fi cards available, providing a secure connection and range with little chance of drop-out. This Acer Aspire 5 is the best and Cheapest Laptop for Machine Learning and AI Programming in 2024.

It has a better cooling system, and the battery life is slightly longer. Choosing between these unreliable laptops will most likely decrease your personal preferences.

Read our Acer Nitro 5 Review

3. Dell G15 5530

Dell G15 5520

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CPU (Processor)13th Gen Intel Core i5-13450HX (20 MB cache, 10 cores, 16 threads, up to 4.60 GHz)
GPUNVIDIA GeForce RTX 3050, 6 GB GDDR6 Graphics
RAM8GB Dual-Channel DDR5 4800MHz Memory
Storage512GB M.2 PCIe Gen 4 Solid State Drive
Screen15.6-inch FHD (1920 x 1080) 120Hz, 250 nits, Anti- Glare Display
Weight6.19 lbs (2.81 kg)
Battery3 Cell, 56 Wh with 240W AC Adapter
OthersBacklit Keyboard, Wi-Fi 6, Bluetooth 5, Windows 11 Home
✔ Powerful Processor
✔ It Has a Backlit Keyboard
✔ Smooth Dedicated GPU
✔ Best Affordable Gaming Laptop
✔ 120 Hz Full HD Display
✔ Build Quality Outstanding
✘ Heavy
✘ No Thunderbolt 4 Port

The Dell G15 5520 is an excellent choice for Deep Learning, especially if you’re looking for a laptop under $1000. It’s considered one of Dell’s top laptops for Deep Learning and machine learning within this budget range.

Firstly, the laptop’s 15.6-inch display provides a true and immersive viewing experience for your work tasks. Its gaming-grade performance enhances your daily productivity.

Thanks to the laptop’s dual-fan cooling system, processing-intensive machine learning-related tasks are well handled. If you do the task like neutral networks, then it will be the best option.

Also, it uses FHD technology to increase content clarity. Therefore images processed and presented by NVIDIA GeForce RTX 3050, Backed by 6GB GDDR6 dedicated video memory for ultrafast graphics, appear as clear as possible.

Powered by the 13th Generation Intel Core i5-13450HX Processor and 8GB of RAM. This laptop doesn’t slow down or hang up even for the most demanding use.

The 512GB SSD allows you to store as much data as possible. Two regular USB ports and 2 USB 3.0 ports allow you to quickly transfer data between external storage and a laptop.

The Dell G15 is not a light laptop. You will see weight only after placing the luggage in your laptop’s backpack for a few minutes. But it doesn’t seem like a deal-breaker for many people, so it shouldn’t be for you either.

You get about 6 hours of battery runtime on a single charge. You must charge it twice if you have to get through half a day of working without plugging in a power source. And if anything, it means that the battery life is somewhat weak.

Another area that tops the Dell G15 5530, where many competitors lag, is the keyboard. The comfortable layout and smooth travel of the backlit keyboard facilitate coding.

Premium Picks

Sl NoOur RatingsTypeCPUGPURAMStorageBatteryDisplay
Tensor Book9.5/10Deep Learning12th Gen Intel Core i9-12800HNVIDIA GeForce RTX 3070 Ti32GB LPDDR52TB SSD99WHr15.6-inch UHD 240Hz
ASUS ROG Striz G169/10Gaming13th Gen Intel Core i7-13650HXNVIDIA GeForce RTX 406016GB DDR5512GB SSDUp to 6 hours16-inch FHD+ 165Hz
Razer Blade 159.0/10Gaming
13th Gen Intel Core i7-13800H

NVIDIA GeForce RTX 4060
16GB DDR51TB SSD80WHr15.6-inch QHD 240Hz
HP Omen 178.5/10Gaming13th Gen Intel Core i7-13700HX
NVIDIA GeForce RTX 4060
16GB DDR5512GB SSD83WHr17.3-inch FHD 144Hz
MSI Katana GF668.5/10Gaming12th Gen Intel Core i7-12650HNVIDIA GeForce RTX 3050 Ti16GB DDR4512GB SSDUp to 6 hours15.6-inch FHD 144Hz

1. Tensor Book – The Best for AI and ML

Lambda TensorBook


CPU (Processor)12th Gen Intel Core i7-12800H Processor
GPU8 GB Dedicated NVIDIA GDDR6 RTX 3070 Ti
RAM32 GB DDR5 4800 MHz
Storage2 TB NVMe Gen4 SSD
Screen15.6-inch 1440p Oled Display 240 Hz
Weight4.43 lbs (2.1 kg)
Battery LifeUp to 9 hours
OthersBacklit Keyboard, Wi-Fi, Bluetooth, Windows 10 Pro
✔ Great Build Quality
✔ The powerful processor
✔ Powerful GPU
✔ It has a 240Hz refresh rate
✔ 2TB Dual SSDs
✔ 3 Years Warranty
✘ Expensive
✘ Not available globally

This very famous GPU laptop is designed for deep learning and is also a Very Powerful Laptop. It comes with a pre-installed Tensor Flow, Porch, CUDA, and Kera, to name but a few.

Tensor has an effortless system administration that makes its operation a walkover. And first of all, I have this great laptop on my list, which makes me stare every time I stare at it.

It is one of the best laptops for machine learning for under 4000 Dollars.

This is one of the best laptops you can find on the market for your intensive learning tasks as it is specifically branded for deep learning, so you can never go wrong with such.

One of the most precious aspects of this laptop is that it has a pre-installed deep learning framework such as Keras and Caffe 2, to mention a few. And don’t worry because the compatibility of these different software has already been taken care of.

Guess what? There is something unique about this type of laptop. When you do your basic tasks, you can have up to 3 hours of battery life, and doing programs that involve heavy demand can give you around 50-60 minutes of battery life.

Another good thing about this laptop is that you can choose it with Ubuntu and dual boot it to run both Ubuntu and Windows.

Each operating system has pros and cons, so it is good that you can choose without having to set it up yourself.

The screen size is 15.6 inches Full HD, with a 144 Hz Refresh rate by the 72 percent NTSC color gamut. It has 1 TB NVME as primary, 1 TB Gen 4 NVMe SSD, and 2 TB total storage.

This laptop features the NVIDIA RTX 3070 Ti, which includes an 8 GB GDDR6 and has a higher clock rate that can smooth your entire experience.

It has a 12th Gen Intel core i7-12800H processor and includes 16 threads, 24 MB cache, and a 4.8 GHz turbo.

The weight of the Tensor Book is only 4.43 pounds, so it is quite portable, and it comes with 32GB of 4800 MHz ddr4 SO-DIMM Memory.

2. ASUS ROG Strix G16

ASUS ROG Strix G16 (9)

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CPU (Processor)13th Gen Intel Core i7-13650HX Processor (2.6 to 4.9 GHz, 24M Cache, 14 cores)
RAM16GB DDR5 4800 MHz Memory
Storage512 GB PCIe 4.0 NVMe M.2 SSD
Screen16-inch, FHD+ 16:10 (1920×1200 pixels), anti-glare display, 100% sRGB, 165Hz
Weight5.51 lbs (2.5 Kg)
Battery6 Hours
OthersWi-Fi 6E, Bluetooth 5.3, Windows 11 Home, Backlit Keyboard
✔ Powerful Processor
✔ Smooth Graphics Performance
✔ Excellent Cooling System
✔ Affordable Price
✔ Great Display with Fewer bezels
✘ Heavy
✘ No Thunderbolt 4 Port

The ASUS ROG Strix G16 is an ultra-thick gaming laptop that stands out from many other laptops. It has many unique features and an excellent performance that impresses you.

It is one of the best laptops for machine learning for students. The ASUS ROG Strix G16 has a 16-inch 165Hz FHD (1920×1200) IPS type Pantone validated display and features color reproduction and accuracy.

The laptop is a little bit heavy, weighing 5.51 pounds (2.5 kg), but it is still lightweight enough to be easily carried anywhere.

The laptop comes with 512GB PCIe SSD storage and 16GB DDR5 memory to run multiple apps simultaneously. The processor is again under the hood, Intel’s Latest 13th-generation Intel Core i7-13650HX with CPU Speed up to 4.9 GHz.

One of the most important things to note about this laptop is its heating and thermal management. Asus has done an excellent job in the Cooling department which no one can ignore. Despite making a powerful gaming laptop, they have ensured that it does not overheat even while doing heavy work.

Regarding gaming, there are a few options to choose from. For deeper learning purposes, go for the NVIDIA GeForce RTX 4060, or RTX 4070 6GB GDDR6 GPU, which is very powerful and perfectly suited for this task.

You can also go for the higher version as it is powerful, but there can be a noticeable difference between these two graphics cards.

Asus has improved the battery life of this laptop. The battery life you can expect from this machine is 5-6 hours with mixed-use. By doing heavy tasks, you can get a little over 4 hours.

Read our ASUS ROG Strix G16 Gaming Laptop Review

3. Razer Blade 15

Image Credit: Razer Blade

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CPU (Processor)13th Gen Intel Core i7-13800H (14-core, 20 threads, up to 5.2 GHz Turbo Boost)
Storage1TB PCIe SSD
Screen15.6-inch QHD (2560×1440) pixels 240Hz display
Weight4.40 lbs (2.0 kg)
Battery80Whr, 4-cell Li-Po, 240W power adapter (up to 6 Hours)
OthersCNC Aluminum, Chroma RGB, Thunderbolt 4, Windows 11
✔ Powerful and latest Gen Processor
✔ 240 Hz at UHD
✔ Great Build Quality
✔ Smooth Graphics Performance
✔ Best For Tech Support
✔ Lots of Ports and Connectivity, including TB4
✔ Long Lasting Battery Life
✘ Expensive
✘ Noisy Fan

The Razer brand is known for its top-quality gaming laptops and is no different. Gaming is close to data science because both require a lot of GPU and computing power.

This Razer Blade 15 is the best for that – machine learning model, data science analysis, here we come.

This is the first premium gaming laptop on this list. It is a 15.6-inch model with better parts than the 15-inch one. This is an excellent option if you want a bigger screen.

This version of the Razer Blade comes with a 13th-generation Intel Core i7-13800H CPU. It is a 14-core CPU, and this is what comes in Tensorbook. This is a great CPU and works well for machine learning on laptops. It is one of the Best Laptops for Deep Learning and is third on our list.

The GPU is also better in this version of the Razer blade. It comes with the NVIDIA GeForce RTX 4060 graphics and 8GB GDDR6 VRAM, which provides excellent graphical representation. This is also what comes in TensorBook. You want to get a model of the RTX 4060 GPU for the best performance or be sure to get at least 8 GB GDDR6 VRAM.

With the production of Razer quality laptops, you can expect high-quality performance from this laptop. It has a 240Hz display, which is brilliant on the eyes and does not cause a lot of stretches, and it replicates colors very well.

The Razer Blade 15 is also extremely durable and strong. If you carelessly pick up your laptop from the corner or you are a little clumsy, you will still not hear any cracking or knocking from the computer, and it does not shock you if you fall.

The keyboard is extremely comfortable to use. Because it is quite shallow, you would expect it to be a little tricky to use, but the keys are pretty bouncy, and you don’t need too much force to push them down on a key, so you will only make a few mistakes.

Despite being a gaming laptop, the Razer Blade 15 sounds like it is designed for something other than gamers. With sleek CNC aluminum build, Razer opted to give this laptop a more elegant, minimalist design that professionals would love.

There is 16 GB of RAM and a 1TB SSD, both of which are the biggest downsides of this laptop. Since they are not so difficult to upgrade, it is not so bad, but for the price, it should have 32 GB Memory and a 2 TB SSD.

Read our Razer Blade 15 review

4. HP OMEN 17

HP Omen 17 Gaming Laptop

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CPU (Processor)13th Gen Intel Core i7-13700HX (up to 5.0 GHz, 30 MB L3 cache, 16 cores, 24 threads) 
Storage512 GB PCIe NVMe TLC M.2 SSD
Screen17.3-inch, FHD (1920 x 1080), 144 Hz, IPS, anti-glare, Low Blue Light, 300 nits
Weight6.13 lbs (2.78 Kg)
Battery6-cell, 83 Wh, Li-ion polymer
OthersWi-Fi 6E, Bluetooth 5.3, Windows 11 Home, 4-zone RGB Backlit Keyboard
✔ Powerful Processor
✔ Smooth Graphics Performance
✔ Excellent Cooling System
✔ Solid Build
✔ Great Display with Fewer bezels
✘ Little Bit Heavy
✘ Average Battery Backup

HP is a new entry into the gaming laptop niche but has held its own with the Omen series. HP Omen 17 has a 13th-generation Intel Core i7-13700HX Processor.

It has 16 GB DDR5-4800 MHz SDRAM and up to 64 GB free slot option for the upgrade, and the hard drive is 512 GB SSD.

The graphics are handled by the NVIDIA GeForce RTX 4060 (8GB GDDR6 VRAM) with Max power and efficiency combined.

The display is a 17.3-inch Full HD (1920 x 1080) 144 Hz IPS with anti-glare, so this is good news for those staring at the screen for extended periods. Overall this HP Omen 17 is the Best Budget Laptop for Deep Learning 2024.

The display is reasonable and provides excellent viewing angles. The bezels are ultra-slim, providing more viewing and performing real estate for the user.

It weighs 6.13 pounds (2.78 Kg) which is a little bit heavy. It has three USB-A, a USB-C with Thunderbolt-4, and many ports.

Gaming laptop manufacturers are now building a muted aesthetic, which is valid for the HP Omen series. It has a high build and looks perfect in place, anywhere you take it. Apart from build, the maintenance of ports is also commendable.

This HP learning laptop has a delightful Ethernet connection, the latest Wi-Fi 6E, and Bluetooth 5.3.

HP OMEN 17 has a 6-cell, 83 Wh, Li-ion polymer battery and provides excellent battery backup. It is the best laptop for machine learning for under $1500.

5. MSI Katana GF66

MSI GS66 Stealth-Gaming-Laptop
Image Credit: MSI

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CPU (Processor)12th Gen Intel Core i7-12650H Processor
RAM16GB DDR4 3200 MHz
Storage512GB PCIe NVMe M.2 SSD
Screen15.6-inch FHD IPS-Level; 144Hz; 72%NTSC ;100%SRGB
Weight4.85 lbs (2.2 Kg)
Battery LifeUp to 6 hours
OthersRGB Backlit Keyboard, Wi-Fi 6, Windows 11 Home, Bluetooth 5.1
✔ Powerful and latest Gen Processor
✔ 240 Hz at UHD
✔ Great Build Quality
✔ Smooth Graphics Performance
✔ Best For Tech Support
✔ Lots of Ports and Connectivity
✘ No Thunderbolt Port
✘ Average Battery Backup

It is a Powerful machine learning laptop from MSI, an ultra-performance with excellent options that can be used for high-end gaming, Programming, and heavy work, without compromising on the ability and power to produce results.

The MSI Katana GF66 has a 15.6-inch FHD IPS-Level; 144Hz; 72%NTSC;100%SRGB IPS-Level display screen, with thin bezel edges, making it exceptionally useful for programmers, gamers, and machine enthusiasts, with a large enough screen of 84 percent screen Provide with viewing.

Overall, MSI GS66 is the Best Laptop for AI and ML 2024 as it has every component for Programming.

This Laptop features a smooth glass precision touchpad to add Golden Age trims that allow for perfect clicks, taps, and scrolls. The MSI Katana GS66 has more than ten gestures that enable you to control every move you want.

We hope you like the disco as the keyboard lights up in different colors to create a separate panel that allows you to work even in the dark.

Another feature of this Laptop is portability; It is made with durable, lightweight aluminum material that offers unique style and professionalism. The Weight of this Laptop is only 4.85 lbs (2.2 Kg), which is heavy.

The GS66 is equipped with Dynaudio Speaker Sound Streaming from your system, which makes the streaming sound much faster than your system for you to listen, eliminating the need for additional audio accessories, except if you now want to bring a roof over a neighbor’s house.

Working long hours, then three cooling fans, six pipes, and two exhausts will ensure that your system stays at room temperature while keeping your GPU and CPU on par without interrupting your work.

NVIDIA Geforce RTX 3050 Ti graphics power this Laptop, providing optimal gaming performance, a machine that keeps you learning with a robust framework and even with multiple tasks.

Cheap/ Affordable Picks: Best Budget Laptop for Mchine Learning in 2024

Microsoft Surface Pro 99/10Students/ NoteBook12th Gen Intel Core i5-1235UIntel Iris Xe8GB LPDDR5256GB
Up to 15.5 hours15.6-inch FHD 60Hz
Acer Spin 38.5/102-in-1 NoteBook12th Gen Intel Core i5-1235UIntel Iris Xe8GB LPDDR4X512GB SSDUp to 10 hours14-inch FHD 60Hz
ASUS ZenBook 148.5/10Business13th Gen Intel Core i5-13500HIntel Iris Xe8GB DDR51TB SSDUp to 10 hours14.5-inch FHD 120Hz

1. Microsoft Surface Pro 9

Microsoft Surface Pro 9
Credit: Microsoft

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CPU (Processor)12th Gen Intel Core i5-1235U processor
GPUIntel Iris Xe graphics
Storage256 GB SSD
Screen13-inch FHD+ (2880 X 1920) Gorilla Glass 5; 120 Hz Touchscreen Display
Weight1.94 lbs (0.87 kg)
Battery LifeUp to 15.5 hours
OthersWi-Fi 6, Bluetooth 5.0, Thunderbolt 4, and Windows 11 Home OS
✔ Sleek and Portable
✔ Excellent Battery Backup
✔ Powerful Processor
✔ Military-Grade Durability
✔ DTS:X Ultra Cinematic Sound Experience
✔ Fastest Fingerprint Sensor
✘ Not for Gaming
✘ Not suitable for professional video editing

Our next choice is the incredibly versatile Microsoft Surface Pro 9. It comes with a two-in-one design. The versatility of the laptop or tablet mode allows you to work and play anywhere. The laptop is very suitable for office, home, and student use.

Personalize Surface Pro 9 to make it a complete laptop with a professional keyboard cover, Surface Pen, and Surface Arc Mouse. In addition, you can hear loud and clear sounds through the built-in enhanced studio microphone.

This is powered by a 12th-generation Intel Core i5 processor, which is ideal for classroom connections. With Instant On, you can restart your work when inspiration comes.

In addition, it has an Intel Iris Xe graphics card, and the screen refresh is not very fast; this is not for games, but it can run projects, documents, etc., perfectly.

It provides 8 GB LPDDR5 RAM, which brings all the features you like, but it is not the best for heavy work or games, and there is 256 GB of SSD storage space, enough to store all your data.

Microsoft Surface Pro 9 comes with a long backup battery, which can provide up to 15 hours of battery life after continuous use throughout the day, which is very useful for students. This is an excellent educational option because it should last all day.

Provides many ports and connection options to connect to another device, including Wi-Fi 6, Bluetooth 5.0 for fast connection, and USB-C and USB-A ports for better connection.

It has a compact 13-inch high-definition touchscreen display with a max screen resolution of up to (‎2880 X 1920), which is very easy to read, clear and bright, and provides impressive image quality. It has a digital pen, so you can easily do drawing and any work.

Anyone can use this laptop, from students to business people, because it comes with an ultra-thin, simple, and stylish design; you can easily take it anywhere. It weighs only 1.94 lbs (0.87 kg).

2. Acer Spin 3

Image Credit: Acer

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CPU (Processor)12th Gen Intel Core i5-1235U Processor (1.30 GHz to 4.4 GHz, 10 Core, 12 MB Cache)
GPUIntel Iris Xe
Storage512GB PCIe NVMe SSD
Screen14-inch FHD (1920×1080), Aspect Ratio: 16:9, LCD LED-backlit touchscreen, 60Hz display
Weight3.31 pounds (1.5 kg)
Battery LifeUp to 10 hours
OthersFingerprint Reader, Backlit Keyboard, Wi-Fi 6, Windows 11 Home, HD Webcam
✔ Very reasonably priced
✔ Slim and Highly Portable
✔ Great Battery Life
✔ WiFi-6 and Bluetooth 5
✔ Has Fingerprint Sensor
✔ Backlit Keyboard
✔ Stunning Display
✘ Average Webcam
✘ Average Audio Output

This 360-degree touchscreen Acer Spin 3 will be your best choice to get dual USB 3.2 ports from Acer.

This stylish laptop uses a cool magnesium-aluminum alloy design to make your work and entertainment more stylish. The 360° double torsion hinge provides four different modes for your enjoyment. It has super portability and a stunning appearance, and You can use Acer’s Spin 3 anywhere as It is thin and light.

This Acer 2-in-1 notebook is powered by the 12th generation Intel Core i5-1235U processor, with the highest turbo frequency acceleration of up to 3.4GHz, which can provide amazing performance.

It also has Intel Iris Xe graphics, which can run your laptop smoothly and provide excellent color contrast.

In addition to other features, its RAM and storage are also enough. It is equipped with 8GB LPDDR4X onboard memory and 512GB PCIe NVMe SSD storage, which is very suitable for multitasking.

Acer Spin 3 can provide up to 10 hours of long battery life, allowing you to complete all daily tasks. If your battery runs out, you can recharge with a 65W Adapter in just 1 hour and 30 minutes.

There is also a fast-charging stylus. The base of this stylus can prevent loss and can also be used as a charger. It can be used for up to 90 minutes in just 15 seconds in the base.

Use advanced wireless and connection technology to avoid wireless signal loss. It has many connection ports, including dual-band Wi-Fi 6 with Bluetooth 5, a full-featured USB Type-C port 3, and two SuperSpeed USB 3.2 Gen 1 ports capable of power-off charging.

It has a 4-inch Acer widescreen IPS LED-backlit touchscreen display with a maximum screen resolution of Full HD 1920×1080.

With 100% sRGB and a narrow L/R bezel, an impressive screen-to-body ratio, and a 16:9 aspect ratio, with Corning Gorilla Glass protection.

If we talk about its design, its chassis is made of cool magnesium-aluminum alloy, making it look very high-end. Considering the size, it is very light, so you can easily carry it anywhere. It weighs only 3.31 pounds (1.5 kg).

It also has an excellent backlit keyboard and a very fast fingerprint reader. Its dual Thunderbolt 4 ports can realize 40Gbps data transmission, connect to various 4K displays, and charge peripherals offline.

3. ASUS ZenBook 14

Image Credit: PCVenus Team

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CPU (Processor)13th Gen Intel Core i5-13500H (12 Core, 18 MB cache, 3.5 GHz to 4.70 GHz)
GPUIntel Iris Xe Graphics
Storage1TB PCIe NVMe M.2 SSD
Screen14.5-inch 2.8K (2880x 1800) 120Hz OLED NanoEdge touch display
Weight3.44 lbs (1.56 Kg)
Battery LifeUp to 10 hours
OthersThunderbolt 4, Backlit Keyboard, Wi-Fi 6, Windows 11, Fingerprint, FHD Webcam
✔ Versatile Port Selection
✔ 1080p Webcam
✔ Affordable
✔ Lightweight and Portable
✘ Limited Gaming Performance

The new Asus ZenBook 14 Notebook is another cheap Machine Learning, Deep Learning, and AI notebook with a slim body suitable for business use. The beautiful new ZenBook 14 is more portable than ever.

It is thinner, lighter, and very compact which includes HDMI, Thunderbolt 4 USB-C, USB Type-A, and MicroSD card readers for unparalleled versatility. ZenBook 14 is designed to provide fantastic performance and is the perfect choice for your relaxed lifestyle.

It is powered by a new 13th generation Intel Core i5-13500H processor, with an 18 MB cache and maximum turbo boost technology up to 4.7 GHz.

It also comes with an Intel Iris Xe graphics card, which provides amazing performance and smoothly runs your laptop.

If you talk about its memory and storage, you will get 8 GB of RAM and 1TB PCIe 4.0 NVMe M.2 SSD storage, which is very suitable for your daily multitasking.

If you talk about its battery, it contains a lithium-ion battery, and the battery life is also very good; if you use it continuously, it will give you 10 hours of battery life.

In addition, it also provides a fast charging function, which can charge your device within hours.

ASUS ZenBook offers many input/output ports, including extensive connection with HDMI 2.1, 1 USB 3.2 Type-A port, Thunderbolt 4 via USB Type-C port, Wi-Fi 6, Bluetooth 5, and a Micro SD card reader.

It comes with a 14.5-inch 2.8k IPS-level NanoEdge bezel display with a maximum screen resolution of (2880×1800). It provides a bright and clear four-sided NanoEdge display with a slim frame that can achieve a screen-to-body ratio of 90%, bringing a more immersive viewing experience.

Even if you use anti-glare coating outdoors, you can get bright colors and vivid images on the screen. This is a bright display, and you can enjoy vibrant visual effects even with ambient lighting in the room.

It is a small, thin, ultra-light notebook, and its body is made of metal, making it an ideal travel companion. It is also the world’s lightest 14.5-inch laptop, with a thickness of 0.66 inches and a weight of only 3.44 lbs (1.56 Kg).

The laptop adopts a borderless ergonomic backlit keyboard design, which increases the size of the keyboard and provides enough space for a good typing experience.

Buyer’s Guide: How to Choose a Laptop for ML, Deep Learning, and AI in 2024?

Minimum and Recommended Deep Learning, Machine Learning Laptop Requirements

ScreenHD (1366 x 768) pixelFull HD (1920 x 1080) pixel or More
Processor10th Gen Intel Core i5 or equivalent AMD Ryzen 512th, 13th Gen Intel Core i7, i5 or 7th, 6th and 5th gen AMD Ryzen 7, Ryzen 5
Memory8GB16GB or more
Storage256GB SSD512GB NVMe PCIe SSD
GraphicsShared Iris Xe or Equivalent to AMD RadeonDedicated NVIDIA GeForce RTX 3000, 4000 Series
Battery2 Hour4 Hour

What are the components that are needed in Deep Learning Laptops?


Pick the right Processor

Any processor below the 9th generation Intel Core i7 is inappropriate for Deep Learning or machine learning programs.

Higher is better because it enables faster processing; if you have the money to buy the latest 12th or 13th generation Intel Core i7, the i9, and 6th or 7th gen AMAD Ryzen 5, 7, and 9will be exceptionally sufficient and enable seamless computation.

AMD Ryzen is the latest processor manufacturer on the market and performs best when performing heavy tasks such as machine learning, video editing, Android development, and 3D modeling.

For students or all those who are engaged in coding-related tasks, AMD’s Ryzen processor will be the best CPU because it will provide tremendous power.

The price of AMD Ryzen CPU is lower than Intel, which is why it is so popular today.

Most Ryzen processors are used in gaming laptops because they are in benchmark scores or 3D mars; they can easily beat Intel Core CPUs.

If you want the best processor for machine learning and deep learning, choose the 13th generation Intel i7, i9, or the latest AMD Ryzen 7, 9.

GPU of Laptop or PC

Pick the right GPU

When you train Deep Learning or machine learning models, the right graphics card is important. Even when using thousands of cores and threads, a GPU overcomes the drawbacks of running multiple cores.

Using multiple threads running simultaneously greatly reduces the hardware threats that come if you have a robust GPU to support your CPU.

This is the most important aspect of Deep learning, which is a subfield of machine learning that requires neural networks to operate and is computationally expensive. Working on images or videos requires a large number of pixels.

The GPU enables parallel processing of these matrices. Without a GPU, the process can take days or months. But with this, your best laptop for Deep learning can do a single task in hours.

Image Credit: PCVenus

It should have more RAM

You need a large amount of RAM and the latest and fastest type of RAM you can find on the market.

The larger your RAM, the better it is, as it means that your laptop will not have to move back and forth between your software and storage to access the data.

Make sure your device has at least 16GB of RAM for Deep learning, and it would be better to have DDR4 RAM DDR5, allowing you to make the most of your device. If you can’t easily get your hands on these device devices, make sure that you can easily upgrade your RAM to your device.

Sharp and Clear Display

Working on machine learning and artificial intelligence is not easy, and you often find yourself working on a laptop for hours, day to day, month to month.

Having a display that not only provides a good resolution but is built using a quality display panel is important for the comfort of your eyes and, in the long run, for better progress and results.

Most modern displays offer a high resolution; anything 4K resolution can be great if you are working with graphics software that can handle 4K resolution Full HD will also be Good.

In addition to resolution, pay attention to brightness, gamma, sharpness, and color in general. The easiest way to measure screen quality is to pay attention to the display panel.

We recommend going for an IPS display type as it provides a great image combined with a great viewing experience and resolution.

What is the difference between SSD and HDD
The difference between SSD and HDD

Need SSD Storage

Many data sets can reach hundreds of gigabytes for Deep learning. Even if you only keep them on the computer for a limited time while working on your algorithms, they can quickly fill your entire disk.

Because of this, I recommend that you get at least a 500GB SSD. An SSD is better than a hard drive, and many laptops will have the option of an SSD instead of a hard drive.

Also, some laptops combine solid-state drives (SSD) and HDD, which is a good compromise between size and price.

The smallest storage device on your laptop should not be less than 256 GB, and the total should not be less than 512 GB. You can also choose an external hard drive that you can use to store your data set long-term. It is not possible to keep it on a laptop because they will fill it up very quickly.

You can often upgrade SSDs to laptops themselves. If you want to go for a laptop that does not have a lot of storage, do some research to upgrade it easily.

Operating System (OS)

By any coincidence, you need a more stable operating system, and if you are used to the Windows OS that makes MacOS work smoothly, you can choose it all depends on your choice. macOS is more secure than Windows OS.


Portability and durability are two major inclusions that you should look for in a laptop. If portability is not important to you, it would be smart to build your desktop —The desktop provides a lot of power and is cheap.

Each laptop you list is easily carried with you wherever you go and withstands external pressures making it quite durable and flexible.

Battery Life

If you are buying a laptop, you want it to function as one. Battery life is an important part of any laptop. As a programmer, you should get a laptop that you can work on for a long time without the need to charge again.

This feature comes in handy when you want to go to work or places without a power supply. Take a look at the laptop’s specifications and make sure that its battery capacity is quite good.

Software Compatibility

Deep learning, machine learning, and artificial intelligence require installing essential software on a laptop or PC.

Before purchasing a laptop for deep learning, machine learning, or artificial intelligence, ensure the software is suitable.

You cannot utilize essential deep-learning tools if your laptop does not satisfy the minimal requirements.

These machine-learning software packages will make it simple to deploy machine-learning algorithms, analysis, machine translation, NLP, sentiment analysis, and so on.

Some of the top software tools for deep learning, machine learning, and artificial intelligence-


Neural Designer

In 2015, Artelnics, a prominent European start-up, created Neural Designer, which has become one of the most popular data mining applications.

Users may view reports and discover patterns in the form of charts, tables, and images using its simple graphical user interface and data visualization tools.

It employs neural networks as a mathematical model for simulating human brain activities. Furthermore, it creates a computer model that serves as the central nervous system.

Also, It is a professional tool of Machine Learning that uses neural networks to uncover unknown patterns, and complicated relationships, and predict real trends from data sets.

It is written in C++, thus it has sophisticated memory management for importing big data sets, as well as CPU and GPU optimizations for speedier calculations.

Minimum and Recommended System Requirements for Neural Designer

Minimum Intel Pentium 4 or AMD Athlon 64 processor

Apple Mac models with M
11th gen Intel Core i5, i7 or AMD Ryzen 5, 7 64-bit quad-core
Storage64GB Free256GB Free
DisplayFHD (1280 x 1024)UHD (1600 x 1200) or higher recommended) with True Color
Graphics cardIntel Iris xe 1GB RAM or AMDNVIDIA GeForce 1650 4GB RAM
OSMicrosoft Windows 8
Apple macOS 10.13.x
Linux Red Hat Enterprise 7.3
Linux CentOS 7.3
Windows 11 Professional
Apple macOS 10.53.x
Linux Red Hat Enterprise 7.5
Linux CentOS 7.5
Three-button mouse

Three-button mouse
Old4 Years2 Years

Ask For Conditions from the Neural Designer’s Official Site

  • 100,000 data rows.
  • Desktop (Windows, macOS, Linux).
  • Cloud (AWS BYOL).
  • Multi-core parallelization (Intel MKL).
  • GPU acceleration (NVIDIA CUDA).
  • Standard support.

Related: Best Laptops for Virtual Machines

Frequently Asked Questions

Q1. What is Deep Learning?

As a subset of artificial intelligence, Deep Learning is a process that is increasing in popularity and demand.

Machine learning is your device’s ability – laptop, desktop, phone, tablet, etc. – to gather large amounts of information and make predictions based on what it has learned.

Your device can read and learn from what is going on around it. It can create forecasts, enable security processes, and provide helpful information to users.

The best thing about Deep Learning or Machine Learning is that it is completely user-free. You will not have to interact or interfere with the processes of Machine Learning, and you will experience better results without your intervention.

The machine can learn and assemble independently, and all you have to do is find a device that can handle that process. ML optimizes the experience of your device and provides all the information directly to you.

Q2. Are Deep Learning, Machine Learning, and AI the same?

No Deep Learning Machine, Learning, and Artificial Intelligence are not the same, but all are connected.

Let us know What Machine Learning; Deep Learning, and AI are-

Deep Learning:

Deep learning is a subset of machine learning based on artificial neural networks. The learning process in deep learning is deep because the structure of an artificial neural network is connected with multiple inputs and outputs and a hidden layer to provide unified input data and information to the network.

What Is Machine Learning?

Machine learning is a subset of artificial intelligence that uses deep learning techniques which can improve the experience and learning process. Machine Learning converts feed data into algorithms and trains data to model, test, and solve consumer problems.

What Is Artificial Intelligent?

In John McCarthy’s view, artificial intelligence refers to computers or machines’ ability to imitate human thinking- the ability to learn from examples and experience.

Artificial intelligence includes machine learning and deep learning.

You can create computer systems and applications using machine learning and deep learning technology because they can efficiently complete transformations related to human intelligence.

Q3. What is the scope of deep learning in the future?

Deep learning technology Explorer analyzes unknown data structures and assigns inputs. This is why it is said that the score may be high in the future.

Deep learning is a popular technology in many applications in the industry, and it also adds functionality.

Many organizations and different departments are using this learning technology. The industry has contributed to its growth through data science, machine learning, and artificial intelligence.

  • News aggregation and fraud detection
  • Image and fingerprint recognition function
  • Virtual Assistant
  • Visual Identity
  • Bank application
  • Business trends and results
  • Healthcare and personalization
  • Automatic machine translation
  • Medical research tools
  • Pixel repair

Deep learning has always been one of data science’s most influential and widely used branches. Its value is constantly changing, and its potential is huge. This is one of the most promising career paths, with a wide range and opportunities soon.

In today’s era, the scope of an in-depth understanding of its adaptive characteristics is limitless. The subject of deep learning is not simple, and its complete capabilities have yet to be explored. But it is a powerful branch of machine learning and will soon have many scopes.

Deep learning technology will adopt a set of core standards and tool frameworks.

It is destined to be recognized and demanded by many brands and companies.

Various other image search applications, translation, resolution enhancement, and deep learning are being developed and researched to obtain the best results.

Deep learning is used to code quickly using a simplified programming framework.

It will increasingly be used in designing and constructing generative design tools.

Q4. How does the Laptop affect Deep Learning, ML, and AI?

Artificial intelligence based on deep learning is becoming increasingly popular and increasing in the medical field. It becomes challenging because the content used for medical data is unusual.

Deep learning can improve self-learning ability and make compelling explanations for using computers and learning new technologies.

In some medical and technical fields, robots are being used more. Therefore, if you have a better laptop, you will quickly and effectively perform deep learning.

Q5. Are gaming laptops good for Deep learning?

Generally, Gaming Laptops are great in case of doing heavy work. Laptops such as gaming require the highest demands of any computing activity.

Good gaming laptops are usually perfect for Deep Learning or Machine Learning.

Q6. How important is the GPU for a Deep-learning laptop?

The GPU is very important when looking for a specific laptop for ML use. Since machine learning or Deep Learning requires slightly more in-depth graphics, we always recommend that you do not compromise with an integrated graphics processor.

Instead, a dedicated graphics card is a must – and that’s why most gaming laptops are suitable for ML use.

Q7. How powerful is SSD over HDD in the case of Machine learning?

If you are not a computer geek, you can find only the letters “SSD” and “HDD” and buy any long-term storage number until it works for you: 500GB, 1TB, 2TB. About a decade and a half ago, only thin, high-end laptops had SSD data storage, which was often expensive.

SSD laptops are requested in colleges and schools, but different individuals from different regions also use this data storage for maximum productivity.

Now, what is the difference between SSD and HDD? There are several reasons to help you understand why SSD is in high demand today.

Final Words

Let our tips and buyer’s guide help you choose the best laptop for deep learning or machine learning.

Keep in mind that desktop machines may offer even more power in the future.

Laptops offer the advantage of portability, making them an excellent choice, especially for students who need to bring their work to campus.

This article aims to provide you with the knowledge needed to make an informed decision when purchasing a laptop for machine learning or intensive tasks. The laptops listed here perform admirably in their respective fields.

These are our top picks for deep learning and data science professionals.

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