How to choose a Laptop for Computer Vision with Deep Learning (in 2022)
Choosing a laptop is currently the best choice for computer vision and deep learning. In fact, due to the shortage of microchips in manufacturing and mining, the prices of video cards are very high and the laptop is a good alternative.
We will see how to choose a laptop, usable in computer vision with good results, based on the main characteristics.
Choose laptop for computervision
To choose the right laptop the main component to consider is the graphics card. In this, the reference brand is Nvidia because most of the libraries are compatible with this graphics card.
If you are on a low budget let’s see what are the minimum features to consider when choosing your laptop
GPU for laptop
6 GB is the minimum memory needed to use the computer with deep learning. In fact, with Tensorflow or PyTorch, it would fail to work and you would get errors.
CPU for laptop
For the CPU there are no strict requirements but obviously higher is better. Minimal advice
Intel i5 or greater
AMD ryzen 5 or greater
Ram for laptop
8 GB it is the minimum of memory required even if it does not allow fluid use. If you are on a low budget always consider expanding the memory, so buy a laptop with at least 2 RAM slots.
How to choose the right laptop
As we have seen above, the most important thing when you want to buy a laptop is the video card. How do we know when it’s right for us? The simplest thing to do is to look at the video card name and check it on the manufacturer’s website.
For example, if there was written Nvidia Geforce GTX 1650 going to check on the https://www.nvidia.com/en-eu/geforce/graphics-cards/gtx-1650/ site you would find this table:
Circled in red there is the value to be taken into consideration, it says << Frame buffer 4GB >>. In accordance with what we have established on video cards, it must have a minimum memory of 6GB so the computer with this specific video card is not good.
Using the laptop with a video card is a good solution but obviously to several limitations that do not make it perfect. For example, the most powerful laptop video card has a maximum of 8GB of memory and this is because they are designed for gaming.
In conclusion, this can be a good solution if you are starting out, for educational use or if you are on a low budget but it is a terrible solution for professional use. In this case, I would recommend you to rent a server for training or build it yourself
Hi there, I’m the founder of Pysource.
I’m a Computer Vision Consultant, developer and Course instructor.
I help Companies and Freelancers to easily and efficiently build Computer Vision Software.
Learn to build Computer Vision Software easily and efficiently.
This is a FREE Workshop where I'm going to break down the 4 steps that are necessary to build software to detect and track any object.Sign UP for FREE
Detect and Track any Object (Full Videocourse)
You can Build Software to detect and track any Object even if you have a basic programming knowledge.