Laptop PCs Are Evolving in the AI Era Pushing Boundaries

Laptop PCs Are Evolving in the AI Era Pushing Boundaries

by July 6, 2023 0 comments

Artificial intelligence (AI), ML, DL, and Data Science are rapidly changing the world which pushed the capabilities for laptop computations.

For professionals in these fields, getting the right device is as crucial as having subject-matter expertise. Keep reading as we gist up the key factors to consider when buying a laptop for AI design, development, and engineering. One should keep in mind that AI development & engineering also involves machine learning algorithms, data science, and deep learning arrays. So, one should choose the device while keeping the bigger picture in mind. We’ll also provide some general tips on how to choose the right laptop for your needs.

Laptop Hardware Requirements for AI Applications

The most important hardware requirements for a laptop for AI designing and engineering are:


A powerful processor is essential for running AI and ML applications. The latest generation (12th or higher) of Intel Core i7 or i9 CPUs are the most ideal choice. But Intel Core i5 and AMD Ryzen 9 CPUs also feature a decent value for money on resource-intensive computation.


At least 16 GB RAM is recommended, though 32 GB is ideal considering the hidden Data science and machine learning requirements. Opt for DDR5 RAM to ensure more responsiveness.  


An NVMe M.2 solid-state drive (SSD) is essential for fast performance. Having Gen4 SSD will ensure the fastest data transfer speed. A minimum of 1 TB storage is recommended, and opting for a device with the facility of storage upgrade is the ideal choice.

Graphics card

A dedicated graphics card is not essential for most AI and ML applications, but it can be helpful for some tasks, like running 3D simulations. Consider going for professional GPUs of the latest RTX series with 4 GB or VRAM.

Feature Considerations

Here are a few other features to consider when buying a laptop for AI and ML:


A high-resolution display is important for visualizing data and models. A minimum of 1080p resolution is recommended, but having a bigger display and more resolution provides more screen real-estate for a superior user experience.

Battery life

AI and ML applications can be power-hungry, so you’ll want a laptop with long battery life. A minimum of 8 hours of battery life is recommended for professionals.


You’ll need a laptop with a variety of ports for connecting peripherals, such as external displays, storage devices, and cameras. Type-C USB ports, Thunderbolt connectivity, USB Type-A 3.1 ports, and HDMI 2.1 ports are the most crucial to have.

Operating System

The best operating system for AI and ML is a matter of personal preference. However, Windows 11 and Linux OS are the most popular choices.

Thermal Features

When choosing a dedicated GPU-powered laptop, it is extremely crucial to have a sound cooling & ventilation system under the hood. Without the same, the laptop would start underperforming when overheated and also lose its lifespan over time.

How to Choose the Right Laptop?

  • Start by setting a budget and considering your requirements for years to come.
  • Look at the mobility features & build quality; it should be sleek, sturdy, and lightweight.
  • Connectivity features are not something to ignore, Wifi 6E (2×2) and Bluetooth 5.2 are must-have features.
  • Having upgradability features for memory and storage is appreciated, as it will expand the lifespan of the device.
  • Consider your personal preferences and specific needs to narrow down your options.
  • Read reviews to learn more about user experiences with the device you’re opting for.
  • Test drive the laptop (if possible) to see how it feels and performs.
  • Ensure the quality and reliability of the customer to minimize downtime due to technical issues.

Additional Tip

If you’re on a tight budget, taking a laptop on a lease can also be considered. There are some reliable leasing vendors in the market who provide brand-new devices as per your choice and are powerful enough for AI and ML work. If someone is equipping gears for a business or team, renting laptops from reliable vendors like Lease with Ease by HP can save from a huge up-front expenditure and ensure professional-grade customer service.

Some Recommended Laptops For AI Developers & Engineers

Check out the HP ZBook Firefly 14 G9 Mobile Workstation. It’s a great option that comes with both portability features and robust specs. It’s powered by 12th Gen Intel Core i5 or i7 CPU, Intel Iris Xe GPU, 32 GB DDR5 RAM, and 1 TB NVMe M.2 SSD. For graphics rendering and data crunching these devices comes with dedicated professional GPU options like RTX A500 and A1000 LPGPU with 4 GB GDDR6 VRAM.

You can also opt for the HP ZBook Fury 16 G9 series which comes with various professional GPU options like A1000, A2000 (8 GB), A3000 (12 GB), and A4500 (16 GB). Choose according to your budget and VRAM requirements. If you are also looking for more compatibility and video encoder features, then you can opt for the HP Zbook Studio series, which comes with RTX series gaming-grade GPUs.

With common features of these above devices like robust build, sound thermal, fingerprint lock, long battery, and latest connectivity features these devices are expected to ensure great performance and user satisfaction.

Click here to visit the HP Online store for more information and pricing details on various business laptops and mobile workstations.

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