10 Best Machine Learning Laptops

Machine learning is a wide branch of Artificial Intelligence. It gives machines the power to learn and grow all by themselves based on the provided big data. The machine learning frameworks and IDE needs a powerful device to work as many memory-intensive tasks are to be executed on these devices.

When we talk about machine learning developers, they are always looking for a portable and powerful device that can fulfill all their programming and testing needs. Normal laptops are not able to handle these huge workloads and that’s why you need a device that is more compatible with developers.

These laptops should have enough resources in the background so that they can easily manage machine learning, deep learning, data science, and AI projects. We researched the laptop market to find high-end devices that are more compatible for developers and here are 10 of our best picks:

Machine Learning Laptops

The only reason to prefer a laptop over a custom PC is the portability. If you are a developer who travels a lot then you should buy a powerful and portable laptop that can handle your machine or deep learning tasks. On the other hand, if you have a fixed workspace then nothing can match the power of a custom build PC.

List of Best Machine learning Laptops

Lambda Tensorbook
Apple MacBook Pro
Acer Nitro 5
ASUS ROG Strix GL702VS
MSI P65 Creator-654 15.6″
MSI GS65 Stealth-002 15.6″
Microsoft Surface Book 2
ASUS ROG Zephyrus GX501 Ultra-Slim Laptop
Gigabyte AERO 15 Classic-SA-F74ADW
ASUS Vivobook K571 Laptop

Without any further ado, let’s hop into our top ten list of machines learning laptops:

Lambda Tensorbook

There are a few laptops that are specifically designed to fulfill machine learning, deep learning, and other data sciences related purposes for developers. Tensorbook by Lambda is an ideal choice because it is specifically made to serve the purpose.

The laptop supports a range of machine learning and development frameworks such as TensorFlow, Keras, and Pytorch. Another interesting thing about Tensorbook is that it comes with Lambda Stack which is a complete package of all AI-related software.

Lambda Stack is a one-stop solution for all machine learning developers as it provides developers with a range of necessary tools with a complete environment where different tools and frameworks are interconnected with each other to enhance the workflow.

You can buy Tensorbook with two graphics variants — NVIDIA 2070 or 2080 (8GB). A 6 core Intel i7-8750H processor is used to handle all the work-intensive tasks. The RAM can be upgraded to up to 32 GB while it comes with Up to 1TB NVME SSD memory which is 5 times faster than any ordinary SSD.

Pros
Cons

Built for Machine Learning & AI
A little Expensive

Pre-Installed Libraries
 

Lambda Stack
 

High-end GPU & Memory
 

Apple MacBook Pro

Apple MacBooks are known for their extreme performance, design, features, and portability. These machines provide you the smoothest workflow that you will never experience with other operating systems.

The MacBook Pro has a very sleek design and it comes in two different variants and sizes — 13” and 16”. The 13” variant comes with a powerful 8-core CPU and GPU along with a 16-core Neural Engine that makes MacBook Pro an ideal option for machine learning-related tasks.

It has 256GB of fastest SSD storage which can be upgraded. A number of other features such as touch ID, magic keyboard, and touch bar are also available to enhance the functionality.

The only downside to a MacBook is that these devices are too expensive despite their extraordinary features, sleek design, and power. Still, MacBook Pro can be used for heavy tasks such as creating and testing machine learning algorithms in a suitable environment.

The device features a Radeon Pro 555X with 4GB of GDDR5 along with 16-GB of onboard memory. The laptop is easily portable and it readily connects with other apple devices to enhance your workflow even further.

Pros
Cons

Smooth Workflow
Extremely Expensive

MacOS Environment
 

Excellent Design
 

Highly Portable
 

Best for Power-Intensive tasks
 

Acer Nitro 5

Do not confuse yourself with the fact that gaming laptops are only limited to playing high-end games with vigilant graphics. These gaming machines are highly powerful, and they can tolerate any type of extensive workload.

Acer Nitro 5 is packed with a powerful GPU by Nvidia along with excellent memory specifications. The laptop screen refreshes at 144 hertz which is obviously a plus point for gamers but what makes it so special for machine learning?

The 9th generation core i7 processor is used in this laptop build which provides it immense power to deal with different deep learning and AI frameworks such as TensorFlow and Keras etc. The intensive tasks can be easily completed using this 6-cores processor.

If we talk about the design then a backlit keyboard is the most amazing thing that you will see on this laptop. The Acer also used their Cool Boost technology to keep the CPU and other components cool. So, you can run power-consuming tasks without worrying about the heat up problems.

This laptop is not much expensive like other devices of the same extent. The prices are pretty much balanced with the specs which makes it an ideal choice for machine learning developers who are seeking power and portability.

Pros
Cons

Full HD IPS Display
Bad Sound Quality

9th Gen Core i7 processor
 

16-GB DDR4 Memory
 

Excellent Computing Power
 

ASUS ROG Strix GL702VS

Almost all gaming laptops are built with performance factors in mind. These laptops are made to run heavy applications and games that require a lot of processing power. The same amount of processing power is used by machine learning developers who work with creating and testing new algorithms that require immense processing.

This one is a budget-friendly laptop for both gamers and developers. It features a 7th Generation Core i7 processor which provides unmatchable performance. A GeForce GTX 1070 8 GB GPU increases its processing power by a hundred percent and that’s exactly what developers desire.

A 12GB DDR4 RAM is used to speedily access different programs and power-consuming language frameworks such as TensorFlow. The laptop only weighs around 6 lbs. and it measures 0.94 inches which increase its portability. Hence, your workflow never needs to stop whenever you are carrying this beast.

There are heat pipes and a dual-fan system that keeps the laptop temperature at a minimum while you are testing your machine learning algorithms.

Pros
Cons

Intelligent Thermal Design
Overheats a little

Lightweight and Slim
 

Tactile Keyboard
 

Extreme Performance
 

MSI P65 Creator-654 15.6″

The MSI offers some of the most high-end laptops in their MSI Prestige series. Almost all laptops from this series are ideal for machine learning and AI developers. The features and immense processing power is the number one reason for considering these laptops for machine learning purposes.

The PG6 Creator-654 is a slim and highly portable laptop that ensures Productivity along with great power. It has an NVIDIA GeForce RTX 2070 Max Q 8GB GDDR6 GPU which speeds up all the computational processes of your machine learning algorithms.

The Core-i9 9th Generation processors further enhance its performance while avoiding any heat up issues. A 32 Gb of RAM is added to the laptop along with 1TB of PCIe NVMe SSD which is way faster than any normal SSD. Hence you can store a large amount of computational data right in your laptop machine.

The laptop is not only made for developers but many gamers and marketing persons and business owners use this laptop for their productive or gaming hours where they do not need any disturbance.

Pros
Cons

Bezel Edges
Indeed Expensive

Weighs only 4.19 Pounds
 

NVIDIA CUDA Core
 

720 HD Webcam
 

Enhances Productivity
 

MSI GS65 Stealth-002 15.6″

This is a true multi-purpose laptop that comes with cutting-edge technology to smoothly handle different tasks. No matter if you want to play high-end games, run power-intensive applications or perform computational tasks, MSI GS65 has got your back with its exceptional features.

This GS65 Stealth model by MSI is ideal for work whether it’s video editing or development. It comes with a high-end NVIDIA GeForce RTX2070 8G Max-Q GDDR6 GPU which is unmatchable in every aspect. It has the capability to handle all computational and development tasks without raising the laptop temperatures to a large extent.

There are 3 cooling fans and 6 copper heat pipes that always keep your laptop’s temperature to a minimum level. The ventilation design is pretty amazing and the laptop is extremely portable because of its slim body.

Lastly, it offers you multi-screen support by connecting it to other LED devices for easily viewing and editing your code. It also features a Nahimic 3 Audio Enhancer to give you a wave of excellent sound quality.

Pros
Cons

Razor Thin Bezel
Casing can be Scratched

Slim Adapter Design
Battery Timing is not Enough

Multi-Screen Support
 

Extreme Computation Power
 

Excellent Ventilation System
 

Microsoft Surface Book 2

The one downside of high-end laptops is that their batteries drain too fast. So, you need to keep a balance between the specifications and power consumption of your laptop. Surface Book 2 is a convertible laptop by Microsoft. Its specs are pretty interesting as it has a powerful GPU from the Nvidia GeForce 10 series.

It also supports 16 GB RAM, 1 TB HDD, and 256 GB SSD Storage. These specs might seem pretty normal but they work really well with development frameworks and tools until or unless you are working with highly-complex applications.

The screen has a resolution of 3000 x 2000 pixels which is pretty impressive for video editors and developers. The best thing about this laptop is its battery timing and capacity. The one full charge of Surface Book 2 can last you for a whopping 17 hours. This timing might seem unreal with all these specifications but gladly, it’s true.

The touch screen also has multi-dial features and you can also use your Surface Pen on the screen to make touchscreen usage more comfortable. Overall, this is a great laptop for work, gaming, and development with all the basic features that you may need while working as a machine learning developer.

Pros
Cons

Lightweight & Easily Portable
No USB-C or Thunderbolt 3 Ports

Fast Core i7 Processor
Screen Size is not so Big

Excellent Battery Timing
 

2500 MB Read & 1200 MB Writer Speed (per second)
 

A Balanced Laptop
 

ASUS ROG Zephyrus GX501 Ultra-Slim Laptop

This is yet another gaming laptop on our list which is equally perfect for any task that requires a lot of computational processing. The ASUS ROG Zephyrus is packed with some high-end components that are not just limited to gaming. These specs can be really useful while working with AI and Machine Learning algorithms where a lot of processing power is needed to complete tasks fast.

A GeForce GTX 1080 8GB GPU is installed to maximize the processing capacity of this laptop and it is backed by an 8th Generation Core-i7 processor which can be boosted up to 3.9GHz.

The laptop has a very slim body which makes it a highly portable machine that you can carry anywhere. A 15.6” full-screen 144-hertz display also maximizes your view while you are working with the development part of your machine learning applications.

It also features the fastest 512GB PCIe SSD which provides instant access to any sort of data that needs to be processed via your machine learning applications. The Aura Sync RGB gaming keyboard enhances the overall look of this laptop while keeping the laptop slimmer.

The Airflow system can also be spotted at the bottom of this laptop and it constantly cools down all the components that are prone to excessive heating. The onboard speakers provide incredible sound quality; hence you are never bored while developing different programs and applications.

Pros
Cons

Gigabit Wave 2 802.11ac WIFI
Highly Expensive

AURA SYNC RGB Keyboard
 

Fastest ROG Hyperdrive
 

144Hz Display
 

Extreme Computational Processing
 

Gigabyte AERO 15 Classic-SA-F74ADW

Gigabyte AERO 15 claims to be the first AI laptop that actively tracks your GPU and CPU usage to enhance it according to the most optimal options. The Microsoft Azure AI technology is integrated in this laptop to ensure the fastest performance with the most optimized settings.

The X-Rite Pantone calibration technology is something extraordinary that we do not normally see in such laptops. The 94Wh battery can last you for more than 9 hours after a single full charge. This AI-powered laptop is also packed with a high-end NVIDIA GeForce GTX 1660 Ti GDDR6 GPU which supports all the graphics and power-intensive applications.

A 9th Generation Core-i7 CPU is attached to the motherboard which equally enhances the performance. The laptop is 0.74 inches thin which makes it extremely portable without any worries. A 16GB of DDR4 RAM is responsible to smoothly handle all running applications while utilizing the AI technology to manage things without degrading the performance.

Other highlighted features include a Killer Doubleshot Pro, Nahimic 3D Audi, and the latest Bluetooth V5.0 + LE. The 15.6 Inches screen size is also commendable as it features ultra-thin bezels that further broaden your screen view.

Pros
Cons

Ultra-Thin Bezels
Heating Issues

High Computational Power
Screen Flex

Good Battery Timing
 

Microsoft Azure AI
 

X-Rite Pantone Certified
 

ASUS Vivobook K571 Laptop

If you are looking for an equally powerful, yet budget-friendly option then ASUS Vivobook K571 is the right option to go with. This is a simple yet elegant laptop by Asus which is specifically made for professional use.

For maximum processing power for graphics and other computational processes, ASUS has used NVIDIA GeForce GTX 1650 4GB GDDR5 GPU which is backed by a powerful 9th Generation Core-i7 processor. The laptop is not very thin but still, it is easily portable.

If we talk about its storage, a 256GB PCIe NVMe SSD is installed to store and retrieve data at the speed of light. An additional 1 TB Hard Disk drive is provided to store any other data. There are multiple useful ports available on Vivobook including Type C, HDMI, SD card reader, and USB 3.1 and 2.0 ports.

The dual fan system exhausts all the excessive heat from the back of your laptop to keep the temperatures at a minimum. The 120-hertz refresh rate also makes its display ideal for gaming and developers also find it easy to write programs due to the large screen size.

Overall, Vivobook is a great choice for everybody who is seeking a budget-friendly option that is not too flashy but still possesses the power to work with machine learning and relevant tasks that need extreme processing.

Pros
Cons

15.6 Inches Nano Edge Display
Weak Battery Life

120 Hertz Screen Refresh Rate
 

Illuminated Chiclet Keyboard
 

Extensive Connectivity
 

Bottom Line

There are very few laptops that are advertised as the best development machines but every laptop that possesses great specs is indeed the right choice for machine learning or AI development. Our list included many gaming laptops because they have the extra processing power that can be utilized by development frameworks.

If you are looking for a Machine Learning development laptop then Tensorbook by Lambda is probably the most ideal choice as it has extra features such as Lambda Stack that facilitates developers a lot.

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