7 Best Laptops For Deep Learning and Data Science in February, 2024

TensorBook with a 2080 Super GPU



#1 Pick: TensorBook Deep Learning Laptop

Lambda’s TensorBook with a 2080 Super GPU is our top choice when it comes to machine learning and deep learning purposes.


Is it true that you are a Deep Learning & Data Science Professionals/Students who are anticipating getting a decent Laptop for your activity?


In the event that your answer is Yes, at that point I guarantee you that you have arrived in the Perfect Place and I can assist you with making the Right choice.



Why do You want to choose a laptop? 


  • You travel a lot on trains, planes, cabs, buses.
  • You go to a lot of conferences with the code being presented from GitHub,
  • If you’re just starting out in deep learning and would prefer a portable laptop over a desktop.
  • You spend a lot of time outside work environments. 
  • You build a relatively simple model, not groundbreaking
  • When it comes to picking the right laptop for deep learning



Deep learning is a field with exceptional computational prerequisites and the choice of your GPU will in a general sense decide your Deep learning knowledge.

GPU (Graphics Processing Unit) : A programmable logic chip (processor) specialized for display functions. The GPU renders images, animations and video for the computer’s screen. GPUs are located on plug-in cards, in a chipset on the motherboard or in the same chip as the CPU.

Having a fast GPU is an essential perspective when one starts to learn Deep learning as this considers fast gain in practical experience which is critical to building the skill with which you will have the capacity to apply deep learning to new issues.

Without this fast feedback, it just sets aside an excessive amount of opportunity to gain from one’s missteps and it very well may demoralize and disappointing to go ahead with Deep learning.

Deep Learning is for the most part involved in operations like matrix multiplication.

GPUs were created to deal with heaps of parallel computations utilizing a large number of cores. Additionally, they have an extensive memory bandwidth capacity to manage the information for these computations. This makes them the perfect product equipment to do DL on.




If You Want Any REAL RESULTS You Should be Using a GPU.




The requirement for deep learning is the GPU. You need to keep these important aspects in mind before picking a GPU for deep learning.


Picking a GPU for Deep Learning


There are 3 basic qualities of a GPU identified with DL are:


1.) Memory bandwidth — as examined over, the capacity of the GPU to deal with vast data. The most imperative execution metric.


2.) Processing power —shows how quick your GPU can crunch information. It will process this as the quantity of CUDA cores increased by the clock speed of each core.


3.) Video RAM size — the size of data we can have on the video card at any point. In the event that you will work with Computer Vision models etc, you need this to be as substantial as reasonable.

Particularly, on the off chance that you need to do some competitions. The Amount of VRAM isn’t so essential for Natural Language Processing (NLP) and working with clear cut information.



Extra Hardware


GPU needs a computer around it:


1.) Hard Disk: First, we have to peruse the data off the disk. An SSD is prescribed here, however an HDD can also function.


2.) CPU: That information must be decoded by the CPU. Any current processor will do fine.


3.) Motherboard: The data passes through the motherboard to achieve the GPU. For a solitary video card, any chipset will work.


4.) RAM: It is prescribed to have 2 GB of memory for each gigabyte of video card RAM. Having all the more absolutely helps in a few circumstances, similar to when you need to keep a whole dataset in memory.


5.) Power supply:  We should give enough capacity to the CPU and the GPUs, with an addition of 75 watts.



List Of Top 7 Best Laptops For Deep Learning & Data Science in 2021



Lambda TensorBook – GPU Laptop Built For Deep Learning (Editor’s #1 Choice)

Lambda TensorBook Mobile GPU AI Workstation Laptop




 TensorBook with a 2080 Super GPU is the #1 choice when it comes to machine learning and deep learning purposes as this Laptop is specifically designed for this purpose. Lambda Stack is a software tool for managing installations of TensorFlow, Keras, PyTorch, Caffe, Caffe 2, Theano, CUDA, and cuDNN. If a new version of any framework is released, Lambda Stack can manage the upgrade, including updating dependencies like CUDA and cuDNN.



  • Display: 16.1″ FHD (1920×1080) Display, Matte Finished
  • Storage: Up to 1TB NVME SSD (4-5x faster than normal SSD
  • RAM: Up to 64GB (2666 MHz)
  • Processor: Intel i7-8750H (6 cores, 16x PCI-e lanes)
  • Graphics: NVIDIA 2080 (8GB)
  • Operating System: Ubuntu 18.04 (Bionic) With Lambda Stack & Windows 10 Pro also available
  • Weight: 4.19 lbs



  • Build quality is good.
  • Top Performance Laptop
  • Pre-Installed with Every Framework TensorFlow Keras Pytorch Caffe Theano etc specifically built for deep learning.
  • Optimized for running TensorFlow training jobs with its powerful Pascal GTX 1070 GPU.




  • Little expensive.




Dell Inspiron i5577- The cheapest laptop for Deep learning


Dell Inspiron i5577




  • Display: 15.6 Inches.
  • Storage:  512GB SSD.
  • RAM: 16GB DDR4 RAM.
  • Processor: Intel Core i7-7700HQ Quad Core
  • Graphics card: Nvidia GTX 1050 4GB .
  • Operating System: Windows 10.
  • Weight: 5.66 pounds



  • The cheapest laptop
  • Beautiful Design with great Specs
  • Light Weight
  • Decent battery life.



  • Display Quality would have been better.






Acer Predator Triton 700- A Powerful laptop for deep learning


Acer Predator Triton 700 PT715-51-732Q Ultra-Thin Gaming Laptop




  • Display: 15.6 Inches.
  • Storage: 512GB SSD
  • RAM: 16GB DDR4 RAM.
  • Processor: Intel Core i7-7700HQ.
  • Graphics card: Nvidia GTX 1080 8GB.
  • Operating System: Windows 10 OS.
  • Weight: 5.4 lbs.




  • Top performance.
  • Very Good display.



  • Battery life not good.








Razer Blade 15 – Ultra Fast. Ultra Small. Ultra Powerful


Razer Blade 15: World's Smallest 15.6" Gaming Laptop



The Razer Blade is one of the smallest 15.6” gaming laptops, striking the perfect balance of power and portability. We’ve redesigned the laptop to be more compact yet contain even more power and features.

The larger, near-bezeless 15.6” Full HD display stretches edge-to-edge and features 144Hz refresh rates, while the new 8th gen Intel Core i7 6-Core processor and NVIDIA GeForce GTX 1070 Max-Q design graphics deliver amazing performance and frame rates.



  • DISPLAY: 15.6” Full HD edge-to-edge display (4.9mm bezels), factory color calibrated
  • GRAPHICS: NVIDIA GeForce GTX 1060 Max-Q Design VR Ready graphics
  • PROCESSOR: 8th Gen Intel Core i7-8750H 6 core processor
  • DUAL STORAGE: 128GB SSD + 1TB HDD – For speed and capacity
  • BUILD QUALITY: Thin and compact, durable CNC aluminum unibody (0.78” x 9.25” x 13.98”)
  • MEMORY: 16GB Dual-Channel DDR-4-2667MHz, expandable to 32GB
  • ADDITIONAL FEATURES: Gigabit Ethernet, 3x USB 3.1, Thunderbolt 3 (USB-C), HDMI, Mini Display Port




  • Battery Life is very Good.
  • Great graphics and frame rates are good for gaming.
  • Heavy graphic editing and modeling 



  • Quite Expensive.







GIGABYTE Aero 15X- Best Value For Money Laptop





  • Display: 15.6 Inches 5mm Thin Bezel FHD 144Hz Pantone X-Rite 1920×1080 IPS anti-glare display LCD .
  • Storage:  512GB SSD.
  • RAM: 16GB DDR4 RAM.
  • Processor: Intel Core i7-8750H (2.2GHz-4.1GHz) .
  • Graphics card: Nvidia GTX 1070 8GB GDDR5 8GB Max Q Supports NVIDIA Optimus Technology .
  • Operating System: Windows 10 home.
  • Weight: 4.6 lbs.




  • Top performance overall which handles intensive tasks with ease. .
  • Slim yet powerful and very easy to carry with.
  • Very Good battery life.



  • Webcam in weird position.
  • Expensive








Asus ROG Zephyrus GX501

ROG Zephyrus GX501 Ultra Slim Gaming Laptop




  • Display: 15.6 Inches.
  • Storage:  512GB SSD PCIe SSD (Hyperdrive up to 3478 MB/s sequential read rate)
  • RAM: 16GB DDR4 RAM 2666MHz .
  • Processor: Intel Core i7-8750H Processor  (up to 3.9 GHz) .
  • Graphics card: Nvidia GTX 1080 8GB with Max-Q design .
  • Operating System: Windows 10 Pro.
  • Weight: 5 lbs.




  • Amazing CPU & GPU.
  • Clever chassis design




  • Expensive.
  • Screen and its bezels are the only partial let down of the machine visually








Eluktronics Pro-X P650HS-G


Eluktronics Pro-X P650HS-G VR Ready 15.6




  • Display: 15.6 Inches Full HD .
  • Storage:  256GB Ultra Performance PCIe NVMe SSD .
  • RAM: 16GB DDR4 2400MHz RAM
  • Processor: Quad Core Intel i7-7700HQ.
  • Graphics card: 8GB GDDR5 VRAM Nvidia GeForce GTX 1070 VR Ready Graphics,16GB DDR4 RAM
  • Operating System: Genuine Windows 10 Home 64-Bit
  • Weight: 6 lbs.



  • Great compact build quality.
  • Top performance overall.



  • Back lighting on the keyboard.




Other similar configuration budget laptops for deep learning can be found here:


New Apple MacBook Pro

ASUS ROG Zephyrus S









Deep Learning Professionals Jobs is one of the toughest jobs which require not only a mediocre laptop but a great laptop which can easily make their job easier.

Of course, you can buy cheap laptops but you may have to face performance once in a while and I’m sure you don’t want to face any of those issues while doing your tasks.

These were the Top 10 Best Picked Laptops for Deep Learning and Data Science Professionals who are looking to get one for them. I hope you liked it and if you have any suggestion, please drop in the comment section below.

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READ More: Best GPU’s for Deep Learning

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