Laptops Reviews

Top 6 Best Laptop for Machine Learning [2019 Guide]

What is the best laptop for machine learning? Its Popular Question I get asked and in this article I am gonna talk about the best laptop for machine learning as well the best cloud options. When it comes to choosing the right machine for machine learning you are usually choosing between the two factors portability and processing power.

What is the best laptop for machine learning?

The higher the processing power the heavier the laptop is thus the less portability it has and vice versa. Also, the higher the power the lower the battery life and portability again takes a hit power. There are a few important components that you should think about when buying a laptop for machine learning.

  • RAM
  • GPU
  • PROCESSOR
  • STORAGE
  • OPERATING SYSTEM

RAM:

When it comes to RAM the minimum amount you need is 8 Gigabyte. Although, 16 Gigabyte is what I recommend for faster processing for heavy machine learning algorithms. RAM is important since it significantly speeds up computation time for training AI algorithms but no feature is more important than what GPU you are using.

GPU:

Deep learning the most popular sub-field of Machine Learning involves neural networks, it’s also the most computationally expensive. It requires calculating the massive amount of matrix operations to train and GPUs enable highly parallelized matrix operations which speed up the process with no GPU training, a model may take months.

Whereas with the right one it may take an hour it allows you to quickly iterate over different versions of your neural network and speeds up the entire research and development pipeline by orders of magnitude.

Making the right choice here is critical NVIDIA brought desktop-class graphics to laptops with the GeForce 10 series picking from one of these that are in your price range are the best GPUs get for a laptop.

Most deep learning libraries like the Tensor flow and Pytorch use the CUDA processor which compiles only on NVIDIA cards AMD you looks like you missed the boat buddy.  If you want to use a machine powered by AMD of Intel HD GPU, you should be prepared to write some low-level code in OpenCL.

 

PROCESSOR:

For processor a min requirement will be an Intel i5 also the i7- 7th generation would be highly recommended.

 

STORAGE:

For storage, you should have 1 terabyte of min hard disk space since data-sets seems to be getting bigger day by day. If you are choosing to go with a machine with SSD make sure it has 256 gigabytes of SSD storage available else you might have to purchase an external hard drive.

 

OPERATING SYSTEM:

Lastly, for an operating system, you want to go with Linux. Although both mac and windows can run Linux as either a virtual machine or on startup using software like Bootcamp or Parallels. So when it comes to the best laptops to get at the highest end a startup called lambda labs wins here with their Tensorbook laptop.

 

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1. TensorBook

The TensorBook by Lambda Labs is one of the best laptops you can get for this profession. I have rated this laptop #1 on this list as a result of this machine is made especially for deep learning and machine tasks.

The TensorBook comes with 15.6 inch 4k QHD display that is nice for deep learning tasks and entertainment purpose like watching movies, online streaming or gaming.

The storage offered on this machine is 500GB SSD and 32GB RAM that is quite adequate for each professional and personal purpose.

One of the best things about this laptop is it comes with pre-installed deep learning framework like TensorFlow, Keras, Caffe2 and more. You don’t need to worry about the compatibility of that software on this machine at all.

When it comes to CPU, you will be obtaining Intel’s 8th gen core i7 processor i.e Intel Core i7-8750H that will a fine job at handling multitasking without any problems.

You are getting a powerful GPU on this machine i.e NVIDIA 1070 8GB RAM GPU that will an absolutely nice job whereas running any deep learning software without causing any issues.

While doing any basic tasks, you can expect up to 2 hours of battery life and whereas running any heavy exacting programs, you can get around 45 minutes of battery life.

Specifications
  • Screen Size: 15.6 Inches.
  • Storage:  512GB SSD.
  • RAM: 32GB DDR4 RAM.
  • Processor: Intel Core i7-8750H
  • Graphics card: Nvidia GTX 1070 8GB.
  • Operating System: Ubuntu 18.04 LTS With Lambda Stack
  • Weight: 4.2 lbs.

 

Pros
  • Build quality is good.
  • Specifically build for deep learning.
Cons
  • Might be expensive for some students.

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2. Dell Inspiron i5577

Currently, This laptop is not available in its current price, I might suggest you for this Dell Inspiron 7866BLK that has similar specs and pricing.

If you are looking for the most affordable laptop for Deep learning, then I am sure that this is one of the best options you have right now. It costs $50 less than the minimum budget (i.e $950) that I have referred above.

The Dell Inspiron i5577 comes with 15.6-inch TN panel that has faster refresh rates as mentioned by Ryan. The build of the laptop is rigid and sturdy that will justify its price. The laptop weighs 5.7 lbs (2.5 kg) that I think slightly heavy and difficult to carry while traveling.

Dell has offered 16GB DDR4 memory for multitasking and 512GB PCIe SSD for storage. The processor you will be getting on this machine is Quad-core Intel Core i7-7700HQ that handles pretty everything from ba. One of the most effective things about this laptop is it has very low fan noise even in the heavy load.

For gaming experience, Dell has included NVIDIA GTX 1050 which could not be as powerful as GTX 1060 or 1070 but for its pricing, I would say it performs really well. Here is the performance of two popular games played on this laptop.

1. Skyrim= 40 fps (Ultra settings)

2. Neverwinter= 36 fps (High settings)

When it comes to battery life, you can expect around 3 hours of heavy and light-weight usage. While using it for browsing or online streaming, you can expect 7-8 hours of battery life that is pretty good I would say.

Specifications
  • Screen Size: 15.6 Inches.
  • Storage:  512GB SSD.
  • RAM: 16GB DDR4 RAM.
  • Processor: Intel Core i7-7700HQ
  • Graphics card: Nvidia GTX 1050 4GB.
  • Operating System: Windows 10.
  • Weight: 5.7 lbs.

 

Pros
  • The cheapest laptop on this list.
  • Decent battery life.
Cons
  • An IPS panel would been better.

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3. Eluktronics Pro-X P650HS-G

The Eluktronics Pro-X P650HS-G is a 15.6-inch laptop that contains a great build quality and weighs 6 lbs (2.7 kg).

The laptop has four variants but I would recommend you go for the variant with 256GB SSD+ 16GB RAM.

The SSD offered by Eluktronics on this machine is PCIe. You can certainly expect a faster performance compared to SATA SSD. The 16GB is really good at handling any kind of extreme tasks.

You’ll get Intel’s Kaby like processor i.e Core i7-7700HQ that is very good for multitasking and also the heat management of the system is great I have to say. The system remains cool even whereas performing a number of heavy tasks.

The GPU offered on this machine is NVIDIA GeForce GTX 1070 with 8GB DDR5 VRAM. The GPU is based on Pascal architecture that is perfectly suitable for professions like this. If you are a passionate gamer, you can certainly play almost any game at very high frame rates. Having a powerful GPU has multiple advantages for power users.

The ports available on this laptop are two USB 3.1 gen 2 port (Type-C), 3 USB 3.0, HDMI, 2 mini display port and an SD card reader. The port selection is good however the inclusion of Thunderbolt would have been better.

As gaming and power consuming laptop, it’s expected that this laptop won’t have good battery life. the maximum battery life you can expect on this machine whereas doing any deep learning tasks is 2 hours. You need to keep the charger along with all the time If you’re traveling with this somewhere.

Overall, this is a best laptop for machine learning I would say.

Specifications
  • Screen Size: 15.6 Inches.
  • Storage:  256GB SSD.
  • RAM: 16GB DDR4 RAM.
  • Processor: Quad Core Intel i7-7700HQ.
  • Graphics card: Nvidia GTX 1070 8GB.
  • Operating System: Windows 10.
  • Weight: 6 lbs.

 

Pros
  • Great build quality.
  • Solid performance.
Cons
  • Lack of Thunderbolt port.

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4. GIGABYTE Aero 15X

You can get a $200 discount on this laptop presently as promotions are going on. Grab this deal asap.
The Gigabyte Aero 15X is another nice laptop that provides a real worth for money. It will cost you around $2200 and that I should say this is one of the most effective value for money laptop for deep learning without any doubt.

It comes with 15.6-inch full HD display with very minimal bezels. This is a 144Hz panel that has good viewing angles and color accuracy. There is another variant that comes with the 4k display however I would advise you to stick with the full HD model as it will give you longer battery life.

Mostly, the body of the laptop is made out of aluminum and therefore the rest of them are plastic. Considering the specs offered on this machine, I have to mention this is a fairly portable laptop. It weighs at 4.6 lbs (2.1 kg).

You will be getting 512GB NVME PCIe SSD on this laptop. The SSD responds quickly and performs fine. The read and write speeds of the SSD are 884 MBps and 721 MBps severally. Gigabyte has offered 16GB DDR4 memory and an empty DIMM to upgrade the RAM If you would like to improve the performance.

The CPU inside the laptop you will find is Intel’s 8th gen core i7 processor i.e Intel Core i7-8750H that performs a lot better than the 7th gen processor. The processor handles tasks fine and there are almost no issues regarding thermal throttling.

You will get Nvidia GeForce GTX 1070 graphics card on this machine that is same as the above laptop. Rather like I said before, this is a powerful GPU that is suitable for high tight tasks like deep learning.

The ports selection of the laptop is incredibly good I would say. On the left side, you will get RJ ethernet, USB 3.0, HDMI 2.0 and mini port. On the right side, there are 2 USB 3, USB-C thunderbolt three and sd card reader. The surprising a part of the SD card reader is, it is powered by UHS 2 that has the transfer speed of 250-300 MB/s.

And lastly, the battery life.

Considering the specs everybody would expect to have a short battery life on this Gigabyte Aero 15X however that is not actually true. For personal usage, you can expect around 6 hours of battery life and whereas doing tasks related to machine learning or deep learning, you can expect up to 3 hours that is quite nice I would say.

Specifications
  • Screen Size: 15.6 Inches.
  • Storage:  512GB SSD.
  • RAM: 16GB DDR4 RAM.
  • Processor: Intel Core i7-8750H.
  • Graphics card: Nvidia GTX 1070 8GB.
  • Operating System: Windows 10 home.
  • Weight: 4.6 lbs.

 

Pros
  • Amazing performance.
  • Easy to travel with.
  • Good battery life.
Cons
  • Trackpad is not upto the mark.

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 5. Acer Predator 15

I have talked about Acer Predator Helios 300 on this website many times however this is the first time I am going to discuss Acer Predator 15 here and I am going to tell you why you should consider getting this beast for yourself.

Before I discuss anything about this laptop let me tell you that this is the cheapest and best laptop for machine learning. The on top of the two laptops surely provide nice value but they cost very high compared to this superb laptop.

The body of the Acer Predator 15 is usually made of plastic however it is sturdy and does not feel like a cheap laptop. It has a 15.6 inch full HD IPS panel that comes with G-Synch technology and has wonderful viewing angles.

Unlike the above Gigabyte Aero 15X, this laptop is not at all portable. It weighs 8.2 pounds (3.7 kg) that I do not think anyone will carry it without any laptop bag. If you are looking for a portable machine then I feel this laptop might not be your right choice.

Coming to the storage part, you will get 256GB+ 1TB 7200 rpm hard disk drive that is an ideal choice for each professional and personal purpose. Acer has offered 16GB DDR4 RAM which might be upgraded up to 64GB.

Inside the laptop, you will get slightly older processor i.e Intel Core i7-6700HQ compared to the higher than two laptops. The performance of the laptop is reasonably smart and it has been paired with GTX 1070. This review shows that the gaming performance on this machine is equivalent to some desktop performance.

You can expect 4-5 hours of battery life whereas doing tasks like the multimedia system, MS Word/ Excel, using Chrome/ Mozilla etc. When you are doing some significant tasks, you can expect a maximum of 2 hours of battery life that is pretty usual for a gaming machine.

I have no hesitation to recommend this as one of the best laptops for deep learning or machine learning because it has almost everything which requires this profession.

Specifications
  • Screen Size: 15.6 Inches.
  • Storage:  256GB SSD+ 1TB HDD.
  • RAM: 16GB DDR4 RAM.
  • Processor: Intel Core i7-6700HQ
  • Graphics card: Nvidia GTX 1070 8GB.
  • Operating System: Windows 10.
  • Weight: 8.2 lbs.

 

Pros
  • Provides great value at an affordable price.
  • Great display.
  • Performance is top class.
Cons
  • Quite heavy.

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 6. Asus ROG Zephyrus GX501

The Asus ROG Zephyrus GX501 is quite an expensive laptop which can not be a value for money machine as others here however still, it has some powerful specs to offer.

This is a 2018 model of ROG Zephyrus GX501 during which Asus has made some improvements from its predecessor. one of the main changes in the newer model is its display. You will be getting 144Hz IPS panel rather than a 120Hz panel. The display on this laptop has good color reproduction and there are nearly no issues regarding the display.

The laptop has been upgraded from 7the gen Core i7 to 8th gen processor i.e Intel Core i7-8750H. this is often the same processor you will get in Gigabyte Aero 15X. You will be getting 6 cores on this processor compared to four in the older one. You can certainly expect at least 10%-15% improvement in the performance department in the 8th gen processor.

Asus has offered Nvidia GTX 1080 graphics card on this powerful machine. You can expect a major amount of improvement in the gaming performance too. This could be one of the most effective all-around laptops for everything from good display to an extremely high level of gaming experience.

You can play some popular games like Overwatch at 95 fps, Destiny 2 at 120 fps on high settings. The concept of presenting the gaming performance here is to show you how well the graphics card will perform. From the performance of those games, you can clearly assume that GTX 1080 is a very powerful guy who can simply handle any kind of tasks related to graphics.

The laptop weighs nearly 5 pounds (2.26 kg) which may not heavy however it is not light-weight either. You can travel with it sometimes but not always.

One of the rewarding things about this laptop is relating to the fan. It gets a little louder than usual whereas performing some heavy tasks. Asus should have done one thing whereas offering this laptop at a hefty price. The ports you will get on this laptop are HDMI 2.0, USB 3.1 Type C, and USB type C with Thunderbolt 3.

The battery life on this laptop is pretty customary for a gaming machine. You can get around 4 hours of basic or light-weight tasks and 1.5-2 hours of gaming or significant tasks.

This is certainly one of the best laptop for tensorflow, Weka etc.

Specifications
  • Screen Size: 15.6 Inches.
  • Storage:  512GB SSD
  • RAM: 16GB DDR4 RAM.
  • Processor: Intel Core i7-8750H Processor.
  • Graphics card: Nvidia GTX 1080 8GB.
  • Operating System: Windows 10 Pro.
  • Weight: 5 lbs.

 

Pros
  • Powerful CPU & GPU.
  • Improved display.
Cons
  • Very expensive.

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Final words:

After spending quite some I have made this post for those who are searching for the best laptop for machine learning and deep learning in 2019. If you have found the proper choice from the above laptops, I would like to hear about. just shoot your comments below.

 

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