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 |
|---|---|---|---|
|
ASUS ROG Strix G16
|
|
Check Price |
|
Apple MacBook Pro M4
|
|
Check Price |
|
Acer Nitro 5
|
|
Check Price |
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.
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
RAM: 8GB DDR4, 16GB DDR5 or LPDDR4X, 32GB DDR5 or LPDDR4X
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
- ASUS ROG Strix G16 – Cheap Gaming Laptop for Deep Learning
- Razer Blade 15 – Best Gaming Laptop for Deep Learning
- HP Omen 17 – Best 17-inch Gaming Laptop
- MSI Katana GF66
- Apple MacBook Pro M4 – Overall Best
- Acer Nitro 5 – Best Budget Gaming Laptop for ML
- Dell G15 5530 – Cheapest Laptop with GPU for Machine Learning
- Microsoft Surface Pro 9 – Best Laptop for ML Students
- Acer Spin 3 – Best 2-in-1 Deep Learning Laptop
- ASUS ZenBook 14 – Cheapest Laptop for Machine Learning
Premium Picks
| Sl No | Our Ratings | Type | CPU | GPU | RAM | Storage | Battery | Display |
| ASUS ROG Strix G16 | 9.5/10 | Gaming | 14th Gen Intel Core i9-14900HX | NVIDIA GeForce RTX 4070 | 16GB DDR5 | 512GB SSD | Up to 6 hours | 16-inch QHD 240Hz |
| Razer Blade 15 | 9.0/10 | Gaming | 13th Gen Intel Core i7-13800H | NVIDIA GeForce RTX 4060 | 16GB DDR5 | 1TB SSD | 80WHr | 15.6-inch QHD 240Hz |
| HP Omen 17 | 8.5/10 | Gaming | 13th Gen Intel Core i7-13700HX | NVIDIA GeForce RTX 4060 | 16GB DDR5 | 512GB SSD | 83WHr | 17.3-inch FHD 144Hz |
| MSI Katana GF66 | 8.5/10 | Gaming | 12th Gen Intel Core i7-12650H | NVIDIA GeForce RTX 3050 Ti | 16GB DDR4 | 512GB SSD | Up to 6 hours | 15.6-inch FHD 144Hz |
1. ASUS ROG Strix G16
| CPU | Intel Core i9-14900HX (24 cores, up to 4 GHz) |
| GPU | NVIDIA GeForce RTX 4070, 8GB GDDR6 VRAM, 140W TGP |
| RAM | 16GB DDR5-5600MHz |
| Storage | 1TB PCIe Gen4 SSD |
| Screen | 16-inch QHD (2560×1600), 240Hz, 100% DCI-P3, Pantone Validated |
| Battery Life | Up to 6 hours |
| Weight | 5.5 lbs (2.5 kg) |
| Others | Wi-Fi 6E, Bluetooth 5.3, Windows 11 Home, Backlit Keyboard |
The ASUS ROG Strix G16 (2024) is a powerful laptop built for both AI work and gaming. With an Intel Core i9-14900HX processor, it handles heavy tasks and multitasking with ease. The RTX 4070 GPU speeds up AI processing, making it great for machine learning, training models, and complex computations.
The 16-inch QHD display with a 240Hz refresh rate makes everything look smooth and sharp. Since it’s Pantone Validated, colors are accurate and vibrant, which is useful for data visualization and creative work.
Long working or gaming sessions? No problem! The advanced cooling system with liquid metal thermal paste and a triple-fan setup keeps the laptop cool and running smoothly.
Yes, it’s a bit on the heavier side, but the strong build and premium design make it worth the investment for professionals. Plus, you get Wi-Fi 6E and Bluetooth 5.3 for fast, future-proof connectivity. It comes with Windows 11 Home pre-installed and even includes a 90-day Xbox Game Pass Ultimate for some extra fun.
Pros
✔ Powerful Intel i9 Processor
✔ High Refresh Rate QHD Display
✔ Efficient Cooling System
✔ Premium Build and Design
✔ Great GPU Performance for AI/ML Tasks
Cons
✘ Slightly Heavy
✘ No Thunderbolt 4 Port
Read our ASUS ROG Strix G16 Gaming Laptop Review
2. Razer Blade 15
Specifications
| CPU (Processor) | 13th Gen Intel Core i7-13800H (14-core, 20 threads, up to 5.2 GHz Turbo Boost) |
| GPU | NVIDIA GeForce RTX 4060, 8GB GDDR6 VRAM |
| RAM | 16GB DDR5 RAM 5200MHz |
| Storage | 1TB PCIe SSD |
| Screen | 15.6-inch QHD (2560×1440) pixels 240Hz display |
| Weight | 4.40 lbs (2.0 kg) |
| Battery | 80Whr, 4-cell Li-Po, 240W power adapter (up to 6 Hours) |
| Others | CNC Aluminum, Chroma RGB, Thunderbolt 4, Windows 11 |
| PROS |
|---|
| ✔ 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 |
| CONS |
|---|
| ✘ 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 premium laptops. 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. 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
3. HP OMEN 17
| CPU (Processor) | 13th Gen Intel Core i7-13700HX (up to 5.0 GHz, 30 MB L3 cache, 16 cores, 24 threads) |
| GPU | NVIDIA GeForce RTX 4060, 8GB GDDR6 VRAM |
| RAM | 16 GB DDR5 SDRAM 4800 MHz |
| Storage | 512 GB PCIe NVMe TLC M.2 SSD |
| Screen | 17.3-inch, FHD (1920 x 1080), 144 Hz, IPS, anti-glare, Low Blue Light, 300 nits |
| Weight | 6.13 lbs (2.78 Kg) |
| Battery | 6-cell, 83 Wh, Li-ion polymer |
| Others | Wi-Fi 6E, Bluetooth 5.3, Windows 11 Home, 4-zone RGB Backlit Keyboard |
| PROS |
|---|
| ✔ Powerful Processor |
| ✔ Smooth Graphics Performance |
| ✔ Excellent Cooling System |
| ✔ Solid Build |
| ✔ Great Display with Fewer bezels |
| CONS |
|---|
| ✘ 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 2025.
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.
4. MSI Katana GF66
Specifications
| CPU (Processor) | 12th Gen Intel Core i7-12650H Processor |
| GPU | NVIDIA GeForce RTX 3050 Ti VRAM |
| RAM | 16GB DDR4 3200 MHz |
| Storage | 512GB PCIe NVMe M.2 SSD |
| Screen | 15.6-inch FHD IPS-Level; 144Hz; 72%NTSC ;100%SRGB |
| Weight | 4.85 lbs (2.2 Kg) |
| Battery Life | Up to 6 hours |
| Others | RGB Backlit Keyboard, Wi-Fi 6, Windows 11 Home, Bluetooth 5.1 |
| PROS |
|---|
| ✔ Powerful and latest Gen Processor |
| ✔ 240 Hz at UHD |
| ✔ Great Build Quality |
| ✔ Smooth Graphics Performance |
| ✔ Best For Tech Support |
| ✔ Lots of Ports and Connectivity |
| CONS |
|---|
| ✘ 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 2025 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.
Mid-Range Picks
| Title | Our Ratings | Type | CPU | GPU | RAM | Storage | Battery | Display |
| Apple MacBook Pro M4 | 10/10 | All | Apple M4 | Apple M4 | 16GB LPDDR5 | 512GB SSD | 58.2 Whr | 14.2-inch UHD 60Hz |
| Acer Nitro 5 | 9.5/10 | Gaming | 12th Gen Intel Core i7-12700H | NVIDIA GeForce RTX 3060 | 16GB DDR4 | 512GB SSD | 57.5 Whr | 15.6-inch FHD 144Hz |
| Dell G15 5530 | 8.5/10 | Gaming | 13th Gen Intel i5-13450HX | NVIDIA GeForce RTX 3050 | 8GB DDR5 | 512GB SSD | 56 Whr | 15.6-inch FHD 120Hz |
1. Apple MacBook Pro M4
Best for Machine Learning
Specifications
| CPU | Apple M4 (10-core) |
| GPU | 10-core Apple GPU |
| RAM | 16GB Unified Memory |
| Storage | 512GB SSD |
| Screen | 14.2-inch Liquid Retina XDR, 120Hz ProMotion |
| Battery Life | Up to 22 hours |
| Weight | 3.5 lbs (1.55 kg) |
| Ports | MagSafe 3, 3x Thunderbolt 4, HDMI 2.1, SD card slot |
Apple has once again pushed the limits with the 2024 MacBook Pro 14-inch. With the new M4 chip, this laptop delivers outstanding performance, making it a great option for content creators, developers, and AI researchers. The 10-core Apple GPU handles video editing, 3D modeling, and AI tasks smoothly, without any lag.
One of its biggest highlights is the Liquid Retina XDR display, which offers 1,600 nits of peak brightness and a 120Hz ProMotion refresh rate. The result? Ultra-smooth visuals and highly accurate colors—perfect for creative professionals who rely on precise details.
Battery life is another strong point, lasting up to 22 hours on a single charge. That means less time plugged in and more time getting work done. It also includes MagSafe 3 charging, three Thunderbolt 4 ports, HDMI 2.1, and an SD card slot, so connectivity isn’t an issue.
Apple’s aluminum unibody design remains as premium as ever—sleek, durable, and lightweight at just 3.5 lbs (1.55 kg). It’s easy to carry around while still packing top-tier power.
Yes, it’s expensive, but if you’re looking for a laptop that’s built to last, delivers incredible performance, and fits seamlessly into the macOS ecosystem, the MacBook Pro 14-inch is one of the best choices in 2025.
| Test/Metric | MacBook Pro 14-inch M4 | MacBook Pro 14-inch M3 | MacBook Pro 16-inch M3 Max | MacBook Pro 16-inch M2 Max | MacBook Pro 16-inch M4 Max |
|---|---|---|---|---|---|
| Premiere Pro 4K Export | 2 minutes, 13 seconds | 3 minutes, 47 seconds | 1 minute, 30 seconds | 1 minute, 39 seconds | 1 minute, 18 seconds |
| Cinebench 2024 Multi (Single Run) | 1,744 | 1,003 | 1,684 | 1,036 | 2,043 |
| Cinebench 2024 Single | 172 | 141 | 179 | 142 | 182 |
| Cinebench 2024 GPU | 9,282 | 3,988 | 16,409 | 5,927 | 12,977 |
| Cinebench 2024 Multi 30-min Loop | 1,754 | 717 | 2,061 | 1,010 | 1,666 |
| Geekbench 6 CPU Multi | 22,615 | 14,990 | 26,422 | 21,277 | 21,277 |
| Geekbench 6 GPU (Metal) | 113,600 | 58,059 | 192,753 | 156,095 | 138,285 |
Pros
✔ Exceptional M4 Chip Performance
✔ Stunning Liquid Retina XDR Display
✔ Long Battery Life
✔ Premium Build Quality
✔ MagSafe 3 for Secure Charging
Cons
✘ Expensive for Base Configuration
✘ Fewer Ports Compared to Some Competitors
Read our Apple MacBook Pro M4 Review
2. Acer Nitro 5
Specifications
| CPU (Processor) | 12th Gen Intel Core i7-12700H processor |
| GPU | NVIDIA GeForce RTX 3060 (6GB dedicated GDDR6 VRAM) |
| RAM | 16GB DDR4 3200MHz Memory |
| Storage | 512GB PCIe Gen 4 SSD |
| Screen | 15.6-inch FHD IPS display ;144Hz refresh rate and 3ms response time |
| Weight | 5.51 lbs (2.5 kg) |
| Battery Life | Up to 8 hours |
| Others | RGB Backlit Keyboard, Wi-Fi 6, Bluetooth 5.1, Windows 11 Home |
| PROS |
|---|
| ✔ 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 |
| CONS |
|---|
| ✘ 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 2025.
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
Specifications
| CPU (Processor) | 13th Gen Intel Core i5-13450HX (20 MB cache, 10 cores, 16 threads, up to 4.60 GHz) |
| GPU | NVIDIA GeForce RTX 3050, 6 GB GDDR6 Graphics |
| RAM | 8GB Dual-Channel DDR5 4800MHz Memory |
| Storage | 512GB M.2 PCIe Gen 4 Solid State Drive |
| Screen | 15.6-inch FHD (1920 x 1080) 120Hz, 250 nits, Anti- Glare Display |
| Weight | 6.19 lbs (2.81 kg) |
| Battery | 3 Cell, 56 Wh with 240W AC Adapter |
| Others | Backlit Keyboard, Wi-Fi 6, Bluetooth 5, Windows 11 Home |
| PROS |
|---|
| ✔ Powerful Processor |
| ✔ It Has a Backlit Keyboard |
| ✔ Smooth Dedicated GPU |
| ✔ Best Affordable Gaming Laptop |
| ✔ 120 Hz Full HD Display |
| ✔ Build Quality Outstanding |
| CONS |
|---|
| ✘ 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.
Cheap/ Affordable Picks: Best Budget Laptop for Mchine Learning in 2025
| Ratings | Type | CPU | GPU | RAM | Storage | Battery | Display | |
| Microsoft Surface Pro 9 | 9/10 | Students/ NoteBook | 12th Gen Intel Core i5-1235U | Intel Iris Xe | 8GB LPDDR5 | 256GB SSD | Up to 15.5 hours | 15.6-inch FHD 60Hz |
| Acer Spin 3 | 8.5/10 | 2-in-1 NoteBook | 12th Gen Intel Core i5-1235U | Intel Iris Xe | 8GB LPDDR4X | 512GB SSD | Up to 10 hours | 14-inch FHD 60Hz |
| ASUS ZenBook 14 | 8.5/10 | Business | 13th Gen Intel Core i5-13500H | Intel Iris Xe | 8GB DDR5 | 1TB SSD | Up to 10 hours | 14.5-inch FHD 120Hz |
1. Microsoft Surface Pro 9
Specifications
| CPU (Processor) | 12th Gen Intel Core i5-1235U processor |
| GPU | Intel Iris Xe graphics |
| RAM | 8 GB LPDDR5 |
| Storage | 256 GB SSD |
| Screen | 13-inch FHD+ (2880 X 1920) Gorilla Glass 5; 120 Hz Touchscreen Display |
| Weight | 1.94 lbs (0.87 kg) |
| Battery Life | Up to 15.5 hours |
| Others | Wi-Fi 6, Bluetooth 5.0, Thunderbolt 4, and Windows 11 Home OS |
| PROS |
|---|
| ✔ Sleek and Portable |
| ✔ Excellent Battery Backup |
| ✔ Powerful Processor |
| ✔ Military-Grade Durability |
| ✔ DTS:X Ultra Cinematic Sound Experience |
| ✔ Fastest Fingerprint Sensor |
| CONS |
|---|
| ✘ 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
| CPU (Processor) | 12th Gen Intel Core i5-1235U Processor (1.30 GHz to 4.4 GHz, 10 Core, 12 MB Cache) |
| GPU | Intel Iris Xe |
| RAM | 8GB LPDDR4X |
| Storage | 512GB PCIe NVMe SSD |
| Screen | 14-inch FHD (1920×1080), Aspect Ratio: 16:9, LCD LED-backlit touchscreen, 60Hz display |
| Weight | 3.31 pounds (1.5 kg) |
| Battery Life | Up to 10 hours |
| Others | Fingerprint Reader, Backlit Keyboard, Wi-Fi 6, Windows 11 Home, HD Webcam |
| PROS |
|---|
| ✔ Very reasonably priced |
| ✔ Slim and Highly Portable |
| ✔ Great Battery Life |
| ✔ WiFi-6 and Bluetooth 5 |
| ✔ Has Fingerprint Sensor |
| ✔ Backlit Keyboard |
| ✔ Stunning Display |
| CONS |
|---|
| ✘ 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
Specifications
| PROS |
|---|
| ✔ Versatile Port Selection |
| ✔ 1080p Webcam |
| ✔ Affordable |
| ✔ Lightweight and Portable |
| CONS |
|---|
| ✘ 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 2025?
Minimum and Recommended Deep Learning, Machine Learning Laptop Requirements
| Specs | Minimum | Recommended |
|---|---|---|
| Screen | HD (1366 x 768) pixel | Full HD (1920 x 1080) pixel or More |
| Processor | 10th Gen Intel Core i5 or equivalent AMD Ryzen 5 | 12th, 13th Gen Intel Core i7, i5 or 7th, 6th and 5th gen AMD Ryzen 7, Ryzen 5 |
| Memory | 8GB | 16GB or more |
| Storage | 256GB SSD | 512GB NVMe PCIe SSD |
| Graphics | Shared Iris Xe or Equivalent to AMD Radeon | Dedicated NVIDIA GeForce RTX 3000, 4000 Series |
| Battery | 2 Hour | 4 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.
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.
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.
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
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
| Specs | Minimum | Recommended |
|---|---|---|
| CPU | 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 |
| RAM | 4GB DDR4 | 16GB DDR4 |
| Storage | 64GB Free | 256GB Free |
| Display | FHD (1280 x 1024) | UHD (1600 x 1200) or higher recommended) with True Color |
| Graphics card | Intel Iris xe 1GB RAM or AMD | NVIDIA GeForce 1650 4GB RAM |
| OS | Microsoft 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 |
| Peripherals | Three-button mouse | Three-button mouse |
| Old | 4 Years | 2 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.
