3 Best Laptops for CUDA Programming in 2024
From this article, you will know what are, in our opinion, the best laptops for CUDA programming you can buy and use in 2024.
CUDA programming is programming activities developed by NVIDIA that heavily utilize GPUs. Many people do CUDA programming to help them develop applications with compute-intensive tasks that would take much longer time to complete if they utilize CPUs instead.
To do CUDA programming, you can use a laptop. However, as CUDA programming activities can be demanding for a laptop to handle, the laptop you use should have the right specification quality. This is so you can develop your applications optimally without having to experience considerable lags or even crashes.
If you want to use a laptop to do CUDA programming but don’t have a capable laptop yet for that purpose, you might be interested in buying a new laptop. However, it can be confusing to pick the right laptop to support CUDA programming activities from many laptop models and specification choices out there. This is why Compute Expert has compiled a list of the best laptops for CUDA programming that you may want to use as your laptop-buying reference.
Want to know more about the laptops we recommend for CUDA programming and the reasons we recommend them? Let’s start digging into the list right away.
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| Image | View on Amazon | Product |
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Lenovo ThinkPad P16 | |
 
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Dell Precision 7780 | |
 
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HP ZBook Fury 16 |
Table of Contents:
What are the Best Laptops for CUDA Programming?
Now, let’s see more about the laptops we recommend doing CUDA programming with. Using one of these laptops should give you the laptop support you need to create your best applications with CUDA resources more optimally.1. Lenovo ThinkPad P16
Lenovo ThinkPad P16 is the first laptop we think can be excellent to use to help you with your CUDA programming activities. Coming from the popular Lenovo ThinkPad series, this laptop is reliable and should give you the performance level you need to develop your applications with heavy GPU utilization without much problem.
To back up that performance level, this laptop uses a 13th Gen Intel Core i9 processor and 32GB RAM capacity. With the capabilities of these specifications, running the software you need for your CUDA programming activities should be done well by this laptop. To do the graphic processing needed for your application development, there is an NVIDIA RTX 3500 Ada GPU with 12GB VRAM ready for you to use.
This laptop has a friendly-to-the-eye display so you shouldn’t get much eye strain when you need to work for many hours continuously. Additionally, this laptop’s hinge is stretchable up to 180 degrees so you can view its display in a more comfortable position.
The keyboard of a ThinkPad laptop is one of the best around so you should feel comfortable when you type your codes with it. All in all, this Lenovo ThinkPad P16 can be the ideal laptop choice for you to optimize your CUDA-based application development activities.
Key Features
- Screen Size, Resolution: 16 inches, 3840 x 2400 pixels
- Processor: 13th Gen Intel Core i9 with 24 cores and speed in the range of 2.2-5.6 GHz
- RAM Capacity: 32GB
- Graphics Card: NVIDIA GeForce RTX 3500 Ada with 12GB VRAM
- Storage: 1TB PCIe NVMe SSD
- Battery Life (Estimation): up to 9 hours of usage capacity
Pros
- Excellent specifications to support CUDA programming activities
- Solid build
- A full range of ports with two Thunderbolt 4 ports
- Good friendly-to-the-eye display
- Stretchable hinge (up to 180 degrees)
- Comfortable keyboard to type on
Cons
- Heavy
2. Dell Precision 7780
Dell Precision 7780 is the next laptop you may want to take a deeper look at during your laptop-buying process. It is a large workstation laptop from Dell with the model and specification quality needed to give you excellent support when developing your applications using CUDA.
The main performance specifications of this laptop are a 13th Gen Intel Core i7 processor and 64GB RAM capacity. They should be able to handle tasks related to your CUDA programming activities splendidly. The RAM capacity, in particular, is a lot and should be more than enough for optimum multitasking when you develop your applications.
This laptop has an NVIDIA RTX 4000 Ada GPU with 12GB VRAM so GPU utilization when this laptop processes your applications should be great to do. When you need to have video calls with your work colleagues to discuss about the applications you develop, there is a full-HD webcam on this laptop that can give your work colleagues clear visuals when you communicate with them.
To help you use the external devices you need for your work, this laptop has a full range of ports with two Thunderbolt 4 ports available for your connectivity. Overall, this Dell Precision 7780 seems to be a high-quality laptop that can be just what you need to create your best applications through CUDA programming.
Key Features
- Screen Size, Resolution: 17.3 inches, 1920 x 1080 pixels
- Processor: 13th Gen Intel Core i7 with 20 cores and speed in the range of 2.1-5.3 GHz
- RAM Capacity: 64GB
- Graphics Card: NVIDIA RTX 4000 Ada with 12GB VRAM
- Storage: 1TB PCIe NVMe SSD
- Battery Life (Estimation): up to 9 hours of usage capacity
Pros
- Excellent specifications to support CUDA programming activities
- Sturdy build
- A full range of ports with two Thunderbolt 4 ports
- Bright display
- Comfortable keyboard to type on
Cons
- Heavy
3. HP ZBook Fury 16
HP ZBook Fury 16 is another laptop we recommend for CUDA programming activities. Considering the model and specifications that it has, this laptop should bode well with what is needed to let you develop your applications smoothly with CUDA.
The processor of this laptop is a 13th Gen Intel Core i7 processor. It is a fine processor with 20 cores and a speed up to 5.3 GHz that should be able to run your IDE software smoothly. There is also a 32GB RAM capacity that you can upgrade up to 128GB should you feel you need more later.
As for the GPU, this laptop uses an NVIDIA RTX 3500 Ada GPU with 12GB VRAM to support graphic processing related to your application development capably. When you need to browse for references or work online, you can use the Wi-Fi 6E technology in this laptop to get an optimum internet connection speed from your Wi-Fi network.
Want a laptop that can help you with your work in developing CUDA-based applications excellently? You may want to strongly consider buying and using this HP ZBook Fury 16 laptop.
Key Features
- Screen Size, Resolution: 16 inches, 1920 x 1200 pixels
- Processor: 13th Gen Intel Core i7 with 20 cores and speed in the range of 2.1-5.3 GHz
- RAM Capacity: 32GB
- Graphics Card: NVIDIA RTX 3500 Ada with 12GB VRAM
- Storage: 1TB PCIe NVMe SSD
- Battery Life (Estimation): up to 7 hours of usage capacity
Pros
- Excellent specifications to support CUDA programming activities
- Sturdy build
- A full range of ports with two Thunderbolt 4 ports
- Quiet operations
- Comfortable keyboard to type on
Cons
- Heavy
What are the Things We Should Consider When We Want to Buy a Laptop to Do CUDA Programming with?
Here are the things we think you should consider when you want to buy a laptop to support your CUDA programming activities.- Processor. The laptop you buy should have an excellent processor so it can run the software you need to develop your applications smoothly. We recommend a laptop with at least a late-generation i7 or Ryzen 7 processor for this
- RAM capacity. The laptop you buy should also have adequate RAM capacity so there won’t be a lack of memory space when you develop your CUDA-based applications. We recommend a laptop with at least 16GB RAM for this
- GPU. You need to have a dedicated NVIDIA GPU in the laptop you buy to be able to develop CUDA-based applications. Thus, we recommend a laptop with the GPU as one of its specifications for you
Wrap Up
When you want to buy a laptop, you may want one that can help you do CUDA programming smoothly. However, it can be confusing to pick the right laptop from the many laptop choices available. This is why Compute Expert has created a list of the best laptops to help you.To summarize, here are three laptops we recommend for CUDA programming.
We hope our list can help you buy the best laptop to develop your best applications through CUDA programming!
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