Since its first release on 9th November 2015, TensorFlow has become the widely-used open-source software library for artificial intelligence and machine learning. Not just SMEs, but most reputable and profit-making giants also rely on TensorFlow for developing ML models; here are the names of a few:

  • GlaxoSmithKline
  • Kroll
  • Square

It takes technical intelligence, mathematical expertise, and a love for logic to become an expert at TensorFlow. Well, you can’t disregard the worth of a fast and graphically-impressive laptop. Therefore, we’re discussing the five best laptops for TensorFlow. They are speedy, feature-packed, and reliable for machine learning, deep learning, and data science.

What are the Five Best Laptops for TensorFlow?

Following are the five best laptops for TensorFlow:

1Lambda TensorBookView on Amazon
2ASUS ZenBook Pro Duo UX581View on Amazon
3Gigabyte Aero 15X ( I7 – 8750H )View on Amazon
4MSI Prestige 14 A10SC-230View on Amazon
5Eluktronics MAX 15View on Amazon

Lambda TensorBook

Lambda TensorBook
Standing screen display size15.6 Inches
Screen Resolution1920×1080
Max Screen Resolution1920 x 1080 Pixels
Graphics CoprocessorNVIDIA RTX 2080 Super Max-Q
Chipset BrandNVIDIA
Card DescriptionDedicated
Graphics Card Ram Size8.00

Basically, Lambda TensorBook is a deep learning laptop for machine learning and data science. The Lambda TensorBook comes first in our list of the five Best laptops for Tensorflow: An end-to-end platform to simplify building and deployment of ML (Machine Learning) models. A highly relevant laptop for machine learning experts, you’ll get built-in tech specs to design, develop ML algorithms. Data scientists with in-depth knowledge of ML, can perform exploratory data analysis to create and test hypotheses through the use of different methods of information and data processing.

Quite interestingly, it offers a Lambda Stack – a software tool containing the following tools and frameworks to elevate your creativity while working on your most critical machine learning projects and assignments:

  • Ease of installing and managing TensorFlow – a widely popular free and open-source software library for ML.
  • Working with PyTorch – an open source framework for machine learning to speed up the process of research prototyping to final production.
  • Keras: a deep learning framework to develop and deploy ML models in a record time.
  • Theano ( A Python Library) is used mostly in development of deep learning projects for the purpose of evaluating mathematical operations.
  • Code in R/Python

To sum up – buying Lambda TensorBook is a good investment for machine learning specialists with long-term benefits. Let’s say, when an author releases any new version of the framework mentioned above and others, Lambda Stack is highly capable of managing and upgrading the framework.

Minimalist and stylish – it is a top-notch laptop for ML with these tech features:

Processor: Intel Core i7 – 10875H with eight cores, 16 threads with 5.1 GHz turbo speed, 45W TDP (Thermal Design Power) and 3 PCIe (Peripheral Component Interconnect Express) for better bandwidth support and performance.

Video Card: GeForce RTX 2080 Super with Max-Q design comprising eight GB GDDR6, 1080 MHz base clock and 3072 CUDA cores, etc.

Storage capacity: TensorBook has a huge storage capacity of 2TB – massive, isn’t it?

Memory: TensorBook is loaded with 64GB DDR4 SO-DIMM: enough memory to help you get through detail-oriented, mathematically challenging, and data-driven machine learning projects within set deadlines.

CPU Benchmark

GPU Benchmark


  • Impressive GPU card and high processing CPU
  • Big storage capacity
  • Best for machine learning projects


  • Too expensive

ASUS ZenBook Pro Duo UX581

ASUS ZenBook Pro Duo UX581
Standing screen display size‎15.6 Inches
Max Screen Resolution‎3840X2160 Pixels
Processor‎5 GHz corei7_10750h
Hard Drive‎1 TB
Graphics Coprocessor‎NVIDIA® GeForce® RTX 2060
Chipset Brand‎NVIDIA
Card Description‎RTX 2060
Wireless Type‎Bluetooth, 802.11ax

ASUS ZenBook Pro Duo UX581 comes second in our list of the best laptops for Tensorflow. It’s a complete laptop with top-notch features and tech specs. This machine learning laptop comprises ScreenPad: a 14 inches 4K matte touchscreen, it enables you multitask as it can display Windows and apps on both screens. 

The reason why ASUS ZenBook Pro Duo UX581 comes as the second best laptop for tensorflow are its tech specs that we’re going to discuss below:

  • SSD – You’ll get a massive 1TB PCIe NVMe M.2 SSD to store your machine learning models, algorithms, data structures, and mission critical documents. This SSD is enough for speed optimization for fast data transfer. And, you’ll get 32GB DDR4 RAM to make the performance of your laptop faster and better.
  • Processor – The Intel Core i7 – 10750H is an six-core high-end processor based on 10th Generation Comet Lake architecture for high-performance laptops for machine learning specialists, data scientists and digital marketing experts. This processor has a clock speed ranging from 2.6 – 5.0 GHz, turbo speed 5.0 GHz, 12 MB cache size and is capable of executing 16-threads per core. It is a 45-Watt processor which,generally, consumes more power but it’s highly effective in working at Tensorflow, especially, when you’ve to create large-scale neural networks for key tasks such as classification, discovering, prediction and creation, etc.
  • Graphics – You need to have the best GPU installed in your laptop to create flawless machine learning algorithms in Tensorflow. Similarly, for design and development of a high-end video detection, image recognition algorithm, text-based apps; you need to grab your hands around a high-performing GPU. And, thanks to ASUS ZenBook Pro Duo UX581 because it comes with one of the best video cards – NVIDIA GeForce RTX 2060: A fast mid-range GPU with aesthetic design. Comparatively, it runs cooler with bleeding edge feature support and easy overclocking. Last but not least, it’s great for 1080p and 1440p.

    Since it’s a Turing TU106 chip, it consists of features such as DLSS (Deep Learning Super Sampling) and RTRT (Real-Time Ray Tracing) to make your ML algorithms definite, effective, and independent

CPU Benchmark

GPU Benchmark


  • Zero overheating
  • ScreenPad Plus
  • Trustworthy CPU and GPU


  • Poor build of heat exhaust vents
  • Unsatisfactory battery life

Gigabyte Aero 15X ( I7 – 8750H )

Gigabyte Aero 15X ( I7 - 8750H )
Standing screen display size‎15.6 Inches
Max Screen Resolution‎1920 x 1080 Pixels
Memory Speed‎4.1 GHz
Hard Drive‎flash_memory_solid_state
Graphics Coprocessor‎NVIDIA GeForce GTX 1070
Chipset Brand‎NVIDIA
Card Description‎Dedicated
Wireless Type‎802.11ac
Number of USB 2.0 Ports‎1
Number of USB 3.0 Ports‎1
Average Battery Life (in hours)‎10 Hours

Founded in Taiwan in 1986,  ‘Upgrade Your Life’ is not just a slogan of Gigabyte but an essence of a Taiwanese brand specialized in creating top-notch laptops for machine learning, specifically TensorFlow with infinite possibilities. That’s why Gigabyte Aero 15 X is not an ordinary laptop but a supreme mix of aesthetics and logic. It turns mere ideas into reality with cutting-edge features:

  • It comes with 15.6 inch thin Bezel Full HD (FHD) with 144Hz Pantone X-Rite 1920×1080 IPS anti-glare display LCD.
  • This laptop is loaded with Intel Core i7 – 8750H which has 6 cores, 12 threads, base frequency of 2.20GHz, 9MB cache and TDP 45W and 4.10 Intel Turbo Boost Technology 2.0 Frequency. From ultimate gaming, premium VR to content-creation and machine learning, you can perform anything on Gigabyte Aero 15x at the speed of light. Truly, focus on your creativity for development of effective ML algorithms.

    TensorFlow is a widely used free and open-source software library for ML (Machine Learning) with strong emphasis on conception of a wide neural network. Therefore, you have to select laptops with NVIDIA CUDA core enabled GPUs. And, Gigabyte Aero 15 X comes with NVIDIA GeForce GTX 1070 GDDR5 (8GB VRAM) with Max-Q design.
  • You’ll use a professionally-designed dual fan and heat pipes system in AERO 15X to manage both CPU and GPU for maintaining optimal chassis temperature to let you enjoy a smooth experience every time while working on TensorFlow.

CPU Benchmark

GPU Benchmark 


  • RGB Fusion Keyboard with 
  • 94Wh battery with 10-Hours battery life for high-performance
  • Ambient light sensor to adjust display brightness according to environment that results in better viewing and good battery life.
  • Thunderbolt 3


  • Bloatwares slows down the laptop
  • Battery drains upon downloading the latest NVIDIA driver.

MSI Prestige 14 A10SC-230 14″ UHD 4k Ultra Thin and Light Professional Laptop

MSI Prestige 14 A10SC-230 14" UHD 4k Ultra Thin and Light Professional Laptop
Standing screen display size‎14 Inches
Screen Resolution‎3840 x 2160
Max Screen Resolution‎3840 x 2160
Processor‎1.8 GHz core_i7_10510u
Memory Speed‎2133 MHz
Hard Drive‎512 GB
Graphics Coprocessor‎Nvidia GTX 1650 Max Q
Chipset Brand‎NVIDIA
Card Description‎Dedicated
Wireless Type‎802.11ax
Number of USB 2.0 Ports‎2
Average Battery Life (in hours)‎10 Hours

MSI Prestige 14 A10SC-230 is the right choice For machine learning specialists and AI experts who are always on-the-go. Just plug and you’re ready to play, as simple as that. It’s an ultra-light laptop with high portability as it is crafted with a slim aluminium chassis to reflect an elegant design. It comprises GeForce GTX 1650 Ti with Max-Q design (A GPU) to power world-class performance while you’re using TensorFlow, not only this, it comes with NVIDIA Studio Drivers, to boost your creativity and productivity.

This laptop for machine learning will liberate you from limitations – Guaranteed. It is loaded with 10th Gen Intel Core i7 – 10510U with 1.8 GHz clock speed, 4.9 GHz turbo speed, six cores and eight threads to deliver amazing performance with matchless portability.

MSI Prestige 14 A10SC will always keep on the go because it comes with quite stable battery life which can last for 10 hours to keep you immersed into the process of creating definite and effective machine learning algorithms.

Long story short, MSI Prestige 14 A10SC is the best option for ML experts and data scientists with great emphasis on clean graphics, perfect processing, excellent battery life, and big storage capability.

CPU Benchmark

GPU Benchmark


  • Beautiful look & ultra-slim
  • Excellent battery 
  • Impressive graphics with wide color range
  • Thunderbolt 3 support


  • Poor cooling system

Eluktronics MAX 15 

Eluktronics MAX 15 
Standing screen display size‎15.6 Inches
Screen Resolution‎2560×1440
Max Screen Resolution‎2560 x 1440 Pixels
Processor‎3.3 GHz amd_r_series
Memory Speed‎3200 MHz
Hard Drive‎1 TB SSD
Graphics Coprocessor‎NVIDIA GeForce RTX 3080
Chipset Brand‎NVIDIA
Card Description‎Dedicated
Wireless Type‎Bluetooth

Eluktronics MAX 15 looks more like a gaming laptop with an RGB keyboard and stylish design. In fact, it’s equally the most appropriate laptop for machine learning specialists. If you’ve mobility in mind; it is made of magnesium alloy, that’s why it weighs only 3.84lbs – a one stop-solution for incomparable performance and portability.

Beat your competition with super-fast performance. Let the impressive power and speed of AMD Ryzen 9 5900HX processor transform data flow graphs into the best artificial intelligence and machine learning models and algorithms. 

This laptop has the latest NVIDIA GeForce RTX 3080 with 16GB GDDR6 VRAM based on Ampere architecture with Ray Tracing cores, streaming multiprocessor, tensor cores with 150-Watt power consumption to enable you work creatively and impressively.

Its 15.6 inches Quad HD and LED-backlit display with 2560×1440 screen resolution with 16:9 aspect ratio produces the fastest 165Hz refresh rate which is great for professional content creators and ML experts to create super-best visual experiences.

Here comes the most important part of a laptop for TensorFlow – Memory and storage. You’ll get to use 32GB DDR4 3200MHz dual-channel RAM to enable a smooth experience no matter how many tabs and apps are open. On the other hand, its 1TB PCIe GEN-3 SSD lets your operating system boot speedily, loading system-heavy apps, transferring work and working on your complicated ML projects in one-go.

Good News:
It is an extra internal M.2 SSD bay that you can use to expand storage space as per your requirements.

CPU Benchmark

GPU Benchmark


  • USB 3.1 Gen 2 Type-C Por
  • Best CPU and GPU
  • Crystal clear display


  • Overheating
  • Expensive

Final Words – What Five Best Laptops Should You Buy for Tensorflow?

Thanks for making this far with us!

In this article, we came to know about the five best laptops for TensorFlow: a popular and widely used software library. You’ll enjoy designing and deploying algorithms on the following laptops discussed here:

  1. Lambda TensorBook
  2. ASUS ZenBook Pro Duo UX581
  3. Gigabyte Aero 15X ( I7 – 8750H )
  4. MSI Prestige 14 A10SC-230
  5. Eluktronics MAX 15

On the fundamental level, they all have an NVIDIA GeForce GPU which is necessary to run TensorFlow without interruptions. Likewise, they can produce amazingly fast processing power for long sessions – to keep you immersed into complicated algorithms and models.

Last but not least, our favorite laptop for TensorFlow is Lambda TensorBook, what’s yours? Don’t forget to share your thoughts with us.