10 Best Laptops for Machine Learning in 2020

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Are you looking for a laptop that’s suitable for machine learning? YOU are going love this post as it includes the models that are recommended by known artificial Intelligence & data learning experts in the industry.

Machine learning involves automating a computer system to study large amount of data and making decisions based on the analysis, all of it without any human intervention. It is a subset of AI, but due to the popularity, it has now become synonymous with artificial intelligence.

Since you’ll be using the heavy machine learning algorithms to study large amount of data, you’ll need a powerful & juiced-up machine. The specs are like the ones seen in gaming laptops. In fact, every machine in this list doubles up as a laptop that’s meant for gaming.

 Minimum System RequirementsRecommended System Requirements
Processor7th Gen Intel Core i79th Gen Intel Core i7 or better
RAM16GB32GB or more
Storage256GB SSD512GB SSD or more
Display14-inch FHD (1920 x 1080)15.6-inch FHD IPS (1920 x 1080)
Graphics4GB NVIDIA GeForce GTX 10608GB NVIDIA GeForce RTX 2070
BatteryUp to 2 hoursUp to 5 hours

If you are serious about using your laptop for machine learning, do not go for anything less than 16GB RAM, as machine learning depends on resource intensive algorithms, large data sets and require heavy processing power. Since there’ll be a bit of deep learning too.

Therefore, you also need a strong GPU. Without it, the deep learning processes, which means processing graphics and even videos, can take days or even months depending on the size of data.

Here’s a List of the Best Laptops For Machine Learning

ImageNameFeaturesCheck Price
TensorBook

  • CPU: 2.3GHz Intel Core i7-10875H

  • RAM: 64GB

  • Storage: 2TB SSD

  • GPU: 8GB NVIDIA RTX 2080 SMax-Q

  • Display: 15.6-inch FHD OLED (1920 x 1080)

MSI GS65 Stealth-432

  • CPU: 2.6GHz Intel Core i7-9750H

  • RAM: 32GB

  • Storage: 512GB SSD

  • GPU: 8GB NVIDIA RTX 2070 Max-Q

  • Display: 15.6-inch FHD (1920 x 1080)

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Omen by HP

  • CPU: 2.2GHz Intel Core i7-8750H

  • RAM: 32GB

  • Storage: 512GB SSD

  • GPU: 8GB NVIDIA GTX 1070

  • Display: 15.6-inch FHD (1920 x 1080)

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Dell G5 15

  • CPU: 2.6GHz Intel Core i7-9750H

  • RAM: 16GB

  • Storage: 256GB SSD + 1TB HDD

  • GPU: 4GB NVIDIA GTX 1650

  • Display: 15.6-inch FHD (1920 x 1080)

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Gigabyte AERO 15

  • CPU: 2.2GHz Intel Core i7-8750H

  • RAM: 16GB

  • Storage: 1TB SSD

  • GPU: 8GB NVIDIA RTX 2070

  • Display: 15.6-inch FHD IPS (1920 x 1080)

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Acer Predator Triton 700

  • CPU: 2.8GHz Intel Core i7-7700HQ

  • RAM: 16GB

  • Storage: 512GB SSD

  • GPU: 6GB NVIDIA GTX 1060

  • Display: 15.6-inch FHD IPS (1920 x 1080)

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ASUS ROG Zephyrus M

  • CPU: 2.2GHz Intel Core i7-8750H

  • RAM: 16GB

  • Storage: 512GB SSD

  • GPU: 8GB NVIDIA RTX 2070

  • Display: 15.6-inch FHD (1920 x 1080)

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Asus ROG Zephyrus S

  • CPU: 2.2GHz Intel Core i7-8750H

  • RAM: 16GB

  • Storage: 512GB SSD

  • GPU: 8GB NVIDIA RTX 2080

  • Display: 15.6-inch FHD IPS (1920 x 1080)

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Acer Predator 15

  • CPU: 2.8GHz Intel Core i7-7700HQ

  • RAM: 16GB

  • Storage: 256GB SSD + 1TB HDD

  • GPU: 8GB NVIDIA GTX 1070

  • Display: 15.6-inch FHD (1920 x 1080)

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Eluktronics N850HK1

  • CPU: 2.8GHz Intel Core i7-7700HQ

  • RAM: 8GB

  • Storage: 256GB SSD

  • GPU: 4GB NVIDIA GTX 1060

  • Display: 17.3-inch FHD IPS (1920 x 1080)

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Whether you are a machine learning engineer or a student who is doing a machine learning course, the laptops listed here are not going to let you down. So shall we begin with the list?

1. Best Overall: TensorBook

  • CPU: 2.3GHz Intel Core i7-10875H
  • RAM: 64GB
  • Storage: 2TB SSD
  • Display: 15.6-inch FHD OLED (1920 x 1080)
  • GPU: 8GB NVIDIA GeForce RTX 2080 Super Max-Q
  • Battery Life: Up to 2 hours

In case you are looking for the best notebook for your Machine Learning indulgences, without having to stress upon getting the requisite ML frameworks and libraries like Keras, PyTorch, and Tensorflow, the TensorBook from Lambda Labs is the perfect gadget to invest in.

When it comes to handling the processing requirements, the Intel Core i7-10875H chipset is a commendable addition that can turbo clock at speeds of up to 5.1GHz. As is the case with any machine learning framework, the existing CPU can take care of input pre-processing and other computational tasks that are mostly initiated, serially.

Parallel computational tasks, including training of a deep learning ML model and deployment of the same, are handled by the NVIDIA GeForce RTX 2080 Super Max-Q GPU and 8GB of dedicated VRAM. With 3072 CUDA cores to work with, the concerned GPU is the perfect option for the CPU to offload a majority of heavy lifting tasks. Not just that, the graphics processing unit comes equipped with 384 tensor cores, based on NVIDIA’s Turing architecture, capable of adding AI-Enhanced support and deep learning precision to the concerned notebook.

Our experts evaluated the performance of the supplier GPU, based on the INT8 interfacing and Deep Learning benchmarks, only to realize that existing GPU deploys Machine Learning models at least 14 percent faster as compared to the RTX 2070 Super. Moreover, we even deployed ResNet-50 training methodology for the Tensorflow framework using the 384 tensor cores, only to find that the RTX 2080 Super performs 10 percent better as compared to the vanilla RTX 2080 variant.

Not to mention, the CUDA powered GPU with Max-Q technology also comes forth with the Dynamic Boost technology for constantly off-loading tasks from CPU to GPU, based on system requirements. The existing GPU also supports Deep Learning SuperSampling for the games to deploy the power of Artificial Intelligence. Then again, apart from gaming, the TensorBook can easily handle the heaviest possible multitasking commitments courtesy of the 64GB RAM.

While the GPU can handle more than 14K training examples per second, the trained models can be easily stored in either one of the two 1TB SSD units. Most importantly, you can select an operating platform based on your requirements, with the choices being Ubuntu 20.04, Windows 10, and the dual boot platform supporting both these operating systems at once.

TensorBook also comes equipped with a proprietary Lambda Package comprising the Tensorflow bundle and other frameworks, available as a part of the one-year complimentary subscription.

Regardless of the professional indulgences, the TensorBook comes forth with a vibrant, 15.6-inch OLED panel, featuring a cumulative resolution of 1920 x 1080 pixels. The gamer-friendly screen flaunts a refresh rate of 144Hz and is also characterized by the 72 percent NTSC color gamut.

As far as productivity is concerned, you get a durable keyboard, impressive touchpad, basic webcam, and other acoustic inclusions. Despite flaunting a monstrous processing conglomerate, the gadget is still quite portable at 4.39 pounds.

When it comes to connectivity, you get Thunderbolt 3, Mini DisplayPort, and HDMI support for connecting an external display, to set up workflows. Other functional specs include Type-A slots, Wi-Fi 6 connectivity, and more. The existing battery doesn’t instill a lot of confidence with a paltry 2-hour backup.

Pros
  • 10th gen, 16-threaded processor
  • Top-of-the-Line GPU
  • OLED display
  • Gamer-friendly screen with 144Hz refresh rate
  • 64GB RAM
  • Dual SSDs
Cons
  • Underwhelming battery
  • Pricey

2. Best-Rated: MSI GS65

  • CPU: 2.6GHz Intel Core i7-9750H
  • RAM: 32GB
  • Storage: 512GB SSD
  • Display: 15.6-inch FHD (1920 x 1080)
  • GPU: 8GB NVIDIA GeForce RTX 2070 Max-Q
  • Battery Life: Up to 8 hours

The MSI GS65 is a high-end laptop that has the right specifications for machine learning. The display is 15.6. The RAM is a healthy 32 GB and storage is 512 GB. The processor is the eighth-generation Intel Core i7-9750H. For GPU, this MSI model is available in two variants, the RTX 2070 and the GTX 1070.

The display is anti-glare and offers a wide view angle, making it a better option for you. The bezels are thin, what the company calls razor-thin bezels. This gives more display real estate, making this an excellent choice. The laptop has an 82 percent screen-to-body ratio.

Coming to the ports, it has a USB type 3.1, 3 USB-A ports, an HDMI port, and even an ethernet port. It’s interesting to see an ethernet port in a sleek and portable laptop.

The laptop has a unique and eye-catching build, making it stand out among the crowd. The gold accents and the exciting design of the cooling vents certainly make a statement. Another exclusive feature is the MSI app, which allows for the seamless integration of mobile games on PC platforms. 

It is built entirely out of steel and is therefore very durable and portable. The keyboard is unique, a SteelSeries one, known for its gamer-centric peripherals. The battery lasts up to 8 hours.

In most laptops, the touchpad is nothing to write about, apart from the ASUS book series that have a digital numeric pad on the touchpad. This model has a glass touchpad with an enlarged surface area, which is refreshing to see and better to use. Unless you are a hardened attached mouse user, you will be happy using the touchpad.

The Laptops used for machine learning & data learning are high end, and they require specific cooling. The MSI GS65 has the Cooler Boost Trinity. The CBT has whirlwind blade fans that increase the air pressure and airflow, leading to better cooling performance.

Pros
  • Great display
  • Unique keyboard
  • Eye-catching build
  • Excellent performance
Cons
  • Weak battery life

3. Best For Deep Learning: HP Omen

  • CPU: 2.2GHz Intel Core i7-8750H
  • RAM: 32GB
  • Storage: 512GB SSD
  • Display: 15.6-inch FHD (1920 x 1080)
  • GPU: 8GB NVIDIA GeForce GTX 1070
  • Battery Life: Up to 3.5 hours

HP is a newer entrant in the gaming laptops niche but has held its own with the Omen series. The HP Omen has Intel i7-8750H. For the RAM, it has a 32 GB RAM and the hard drive is a 512 GB SSD. The graphics are handled by the NVIDIA GeForce 1070.

The display is a 15.6 inches full HD IPS with anti-glare, so that’s good news for people who will be staring at the screen for more extended periods. The display is good and provides excellent viewing angles. The bezels are ultra-slim, giving more viewing and display real estate for the user. It weighs 5 lbs. For ports, it has three USBs, including a USB-C.

Gaming laptop creators are now looking at creating a muted aesthetic, and that remains true for the HP Omen series as well. It has a high build and looks right in place, anywhere you take it. Apart from the build, the placing of the ports is commendable as well. You will find the ports in such a place that the majority of the wires can easily be hidden behind the screen, creating a clutter-free workspace.

The HP Omen provides some serious, heavy-duty graphics performance. One delightful addition is the ethernet connection. So, you don’t have to rely on the WiFi, something you wouldn’t if you were looking for good internet speeds.

Pros
  • Solid graphics card
  • Strong build
Cons
  • Weak battery life
  • A bit noisy during graphic-intensive programs
  • Bulky

4. Best Professional Laptop: Dell G5

  • CPU: 2.6GHz Intel Core i7-9750H
  • RAM: 16GB
  • Storage: 256GB SSD + 1TB HDD
  • Display: 15.6-inch FHD (1920 x 1080)
  • GPU: 4GB NVIDIA GeForce GTX 1650
  • Battery Life: Up to 8 hours

The Dell G5 is labeled as a gaming laptop – and that’s because of the computing juice it has. The laptop has a 15.6 Full HD display. The display is anti-glare and is IPS. The graphics are handled by NVIDIA GeForce GTX 1650. It has 16 GB RAM. The Intel Core i7-9750H does its job well. The storage in this one is a 256 GB SSD and a 1 TB SATA hard drive. The Dell G5 has a good number of ports, as well. It has 2 USB ports, 2 USB 3.0 ports.

The Dell G5 is built well and is a muted design, which means you can carry it to a board meeting as well to a coffee shop. It has excellent specifications that are suitable for high-end machine learning, can run the heaviest algorithms & work with the largest datasets. The NVIDIA GTX 1650 card can handle cumbersome graphics processes all right.

The screen is quite bright and at 15.6 inches, it offers good display real estate. This one has a metal finish and is built quite well, making it durable enough to handle daily wear and tear.

While the laptop has good specs and gives a good performance, the computer is noisy while doing graphic intensive processes. Also, it’s a bit heavy and not exactly portable. The battery life is less, so not very suitable for portability.

Pros
  • Good display
  • Great processing power
Cons
  • Weak battery life
  • Bulky

5. Gigabyte AERO 15

  • CPU: 2.2GHz Intel Core i7-8750H
  • RAM: 16GB
  • Storage: 1TB SSD
  • Display: 15.6-inch FHD IPS (1920 x 1080)
  • GPU: 8GB NVIDIA GeForce RTX 2070
  • Battery Life: Up to 8 hours

The Gigabyte AERO has a 15.6 full HD display, with IPS and anti-glare. It has an Core i7-8750H processor. For graphics, the laptop works on the GeForce NVIDIA 2070. The laptop has 16 GB of RAM and 1 TB SSD.

The thin bezels work well to give more display real estate for the user. The screen is bright and is an excellent option for the machine learning students. After all, as a student you will spend long hours looking at the screen throughout the day. It has the right viewing angles as well.

Since the machine learning softwares and algorithms require massive graphics firepower and the NVIDIA 2070 steps up and does what it is supposed to. The body is aluminum, which makes for a very durable and robust laptop. The design has a beautiful aesthetic. This one has a very sharp, square look that stands out.

When it comes to ports, the laptop has five USB 3.1 ports, including two type C, two 3.1 Gen 1 and one 3.1 Gen 2. It also has an ethernet port. It has a metal chassis and a slim body, making it a good option for anyone looking for a portable laptop.

The laptop is on the bulkier side, it weighs under 4.4 lbs, so it is not a very portable laptop. The battery life is placed at 8 hours.

Pros
  • Durable and robust
  • Battery life
Cons
  • Heavy weight
  • Expensive

6. Acer Predator Triton 700

  • CPU: 2.8GHz Intel Core i7-7700HQ
  • RAM: 16GB
  • Storage: 512GB SSD
  • Display: 15.6-inch FHD IPS (1920 x 1080)
  • GPU: 6GB NVIDIA GeForce GTX 1060
  • Battery Life: Up to 5 hours

The Acer Predator Triton 700 has some respectable specifications, making it a good choice for machine learners and anyone looking for a heavy-game-ready laptop. The screen size is 15.6 inches. It has a 512 SSD and has a 16 GB RAM. The processor in this one is the seventh generation i7.

The graphics card is an NVIDIA GeForce GTX 1060 with 6GB of dedicated GDDR5 VRAM. The battery life is around 5 hours if you are looking to do some heavy-duty graphics work or gaming. The display is crisp, sharp and very clear.

A 512 GB SSD is a bit less, and we would have loved to have at least 1 TB as storage.

Pros
  • Convenient Mechanical Keyboard
  • Value for Money
Cons
  • Less memory at this price point
  • Weird Touchpad placement

7. ASUS ROG Zephyrus

  • CPU: 2.2GHz Intel Core i7-8750H
  • RAM: 16GB
  • Storage: 512GB SSD
  • Display: 15.6-inch FHD (1920 x 1080)
  • GPU: 8GB NVIDIA GeForce RTX 2070
  • Battery Life: Up to 4 hours

The ASUS ROG Zephyrus sports an i7-8750H processor. The graphics are taken care of by the NVIDIA 2070 and a 16 GB RAM. The screen size is 15.6. The storage offered here is 512 GB SSD.

The Zephyrus has a unique feature that will interest PC users. It turns the trackpad into an electronic number keypad, that’s an added advantage for whoever wants to get the feel of using a full-size laptop keyboard, including machine learning students.

The laptop has strong specs and does the work for a machine learner. The display is a bit on the dimmer side. We would like to have more storage space. Another niggle is the weight. At around 4.63 lbs, it is slightly more than the perfect weight that would make it portable.

Pros
  • Sleek and compact design
  • Powerful graphics
  • Lesser heating issues
Cons
  • Weird Keyboard and Touchpad positioning
  • Expensive

8. Asus ROG Zephyrus S

  • CPU: 2.2GHz Intel Core i7-8750H
  • RAM: 16GB
  • Storage: 512GB SSD
  • Display: 15.6-inch FHD IPS (1920 x 1080)
  • GPU: 8GB NVIDIA GeForce RTX 2080
  • Battery Life: Up to 3 hours

The Asus ROG Zephyrus S is one of the very known gaming laptops, but the computing juice in them is just what the tech-doc ordered for machine learning. The machine has a 15.6-inch display and has a 512 GB SSD for storage.

It has a 16 GB internal memory. The processor for this is the Intel Core i7-8750H. The graphics are taken care of by the Nvidia GeForce RTX 2080, 8 GB. This graphics card is perfect for deep learning techniques. The laptop plays almost every AAA game, including Division 2.

The machine has a 178-degree viewing angle. ASUS has also taken care of the cooling aspects with this one. It’s Aerodynamic System has 12V fans and anti-dust tunnels for better cooling performance. The battery life is under 3 hours when performing heavy-duty tasks. If you are using it for mixed usage, like watching videos, browsing the internet, etc., expect a battery life of four hours.

The display is Pantone validated, which means that the display has color correction and better fidelity of the screen in reproducing colors. This is a highly color accurate screen and with the refresh rates, the entire display experience is excellent. It weighs more than 2 kilos.

The ROG S also provides decent connectivity options. It has one USB 3.2 Gen 1 Type C and a USB 3.2 Gen 1 port. There are three USB-A ports, one of them being USB 3.2 and two USB 2.0. Along with that, there’s the HDMI 2.0 port.

The other positive aspect of the laptop is a bold but mature aesthetic. It doesn’t look like a typical gaming machine and the top only has the iconic ROG logo.

While the laptop has an excellent display and the specs to handle high-end software, the keyboard isn’t the best. Another confusing aspect is the touchpad, which is placed on the right side instead of the traditional front and middle. That will take some time to get accustomed to. Given the specs, the machine is not very portable, weighing in at a little more than 4.63 lbs.

Pros
  • Great build quality
  • Doesn’t look like a gaming laptop
Cons
  • The touchpad at the right takes getting used to
  • Bulky

9. Acer Predator 15

  • CPU: 2.8GHz Intel Core i7-7700HQ
  • RAM: 16GB
  • Storage: 256GB SSD + 1TB HDD
  • Display: 15.6-inch FHD (1920 x 1080)
  • GPU: 8GB NVIDIA GeForce GTX 1070
  • Battery Life: Up to 3 hours

The Acer Predator 15 has solid specifications, making the laptop a worthy contender for machine learning. It has a full HD, 15.6 IPS panel. The display has excellent display angles, partly because of the G-Synch technology. The laptop offers a 256 GB SSD along with 1 TB HDD.

The processor is an Intel i7-7700HQ. The graphics card is the NVIDIA GTX 1070. It comes with 16 GB RAM. This mix is perfect for those looking for a laptop for the heavy processing that machine learning requires.

The laptop weighs a little over 8 lbs, so it is not a very portable one. The battery runs for around 3 hours for general processes. The laptop does the heavy processing for about two hours, unplugged. That’s a bit underwhelming.

Pros
  • Efficient fan performance
  • Sufficient storage
Cons
  • Average battery life
  • Bulky

10. Best from Eluktronics: Eluktronics N850HK1

  • CPU: 2.8GHz Intel Core i7-7700HQ
  • RAM: 8GB
  • Storage: 256GB SSD
  • Display: 17.3-inch FHD IPS (1920 x 1080)
  • GPU: 4GB NVIDIA GeForce GTX 1060
  • Battery Life: Up to 4 hours

The Eluktronics N850HK1 runs on an Intel i7-7700HQ processor. It has the NVIDIA GeForce GTX 1060 Ti. For the display, it goes with a 17.3 Full HD IPS display. It has a 8 GB RAM and 256 GB SSD storage.

For ports, it has 2 USB 3.0 ports. 1 USB 2.0 ports and 1 Type C USB 3.1 port. Along with this, it has an HDMI port and an Ethernet port. It also comes with an SD card reader. The laptop has the added security feature of a fingerprint reader.

The Eluktronics is a robust machine and offers a perfect configuration for Machine Learning. The screen is sharp and gives the right viewing angles. Color reproduction is good.

The build of this laptop lands is robust and is subtle enough to pass off in the office. Accents add a definite style to the machine, but don’t become conversation starters.

While the picture quality is outstanding, it is a shade less than the other laptops available at the same price range. Like most gaming laptops, the weight doesn’t allow it to become the best for portability around. Also, the processor is an older model, the seventh generation.

Pros
  • Good graphics
  • Lesser cost than the competition
Cons
  • Bulky
  • Older processor
  • Older graphics card

Verdict

These are the laptops that would work well for students and professionals in the machine learning profession. The Tensorbook, of course, is the best of the lot and offers value for money. The other go-to laptop is the Eluktronics N850HK1 with an exemplary configuration, including a reliable graphics card.

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