What Laptop Specs to Run AI Do I Need?
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While big companies and manufacturers were already using AI to boost efficiency and create advanced machines, it wasn't until the introduction of large language models (LLMs) like ChatGPT and Gemini that interest in AI applications among consumers surged.
As more individuals explore the potential of AI technology, it's natural to question whether existing computing platforms are up to the task. Different users have varying needs, so there's no one-size-fits-all solution. Casual users might find a sufficiently powerful laptop suitable for exploring AI applications, but advanced users looking to push AI boundaries may require more powerful desktops or workstations. On the other hand, enterprises may even need multiple computing platforms to train large models effectively and deploy AI solutions at scale.
This article will focus on the essential laptop specs to run AI for different user needs. We'll cover processing power, memory, and graphics capabilities. Plus, we’ll discuss how the following HP laptops are finely tuned with optimized hardware and software configurations to handle AI workloads.
- HP Laptop (17-cn3097nr)
- HP Spectre x360 2-in-1 Laptop (16-aa0097nr)
- OMEN Gaming Laptop (16t-wf000)
- HP ENVY Laptop (17-cw0097nr)
Processor power
The processor executes complex calculations essential for AI workloads. To ensure a smooth performance, you need a robust processor capable of handling the vast amounts of data and intricate computations involved.
The processing power required varies based on the nature of AI tasks. For tasks like natural language processing (NLP), processors like the Intel® Core™ i7 with a minimum of 10 cores and 12 threads or AMD Ryzen™ 7 processors with 8 cores and 16 threads will suffice.
However, for more demanding AI workloads such as training deep learning models, you may need processors with higher core counts, clock speeds, and hyper-threading technology. High-performance options include the Intel Core i9 processors boasting max clock speeds of up to 5.5 GHz or AMD Ryzen Threadripper processors featuring max clock speeds of up to 5.3 GHz.
There’s a lot of talk about AI laptops, particularly those with Intel's Meteor Lake processors. These processors are tailored for AI tasks, incorporating neural processing units (NPUs) to enhance performance. One noteworthy example is our HP Spectre x360 2-in-1 Laptop (16-aa0097nr), featuring an Intel Core Ultra 7 155H processor engineered to meet the demands of AI workloads efficiently.
Graphics processing unit (GPU)
The graphics processing unit is arguably the most important specs for a laptop to run AI and machine learning (ML). AI processes often involve manipulating large matrices of numerical data, which can be time-consuming. GPUs solve this problem with parallel processing capabilities that allow them to execute multiple tasks concurrently.
Although an integrated graphics card can do the job, you’ll need a powerful discrete GPU for optimal performance.
Pick your GPU based on your budget and how complex your AI tasks are. For complex tasks like high-resolution video rendering, opt for high-end GPUs like the NVIDIA® GeForce RTX™ 4080 present in our OMEN Gaming Laptop (16t-wf000), which comes with Tensor Cores that accelerate matrix operations for faster data processing.
RAM (Random access memory)
RAM stores temporary data and instructions required by the CPU during operation. It directly affects how fast your laptop responds and how well it can run multiple programs simultaneously.
When selecting RAM, consider its capacity and technology. Higher capacity RAMs can store more data, which helps prevent your laptop from slowing down or crashing when you're running lots of programs. We recommend getting at least 16GB of RAM to keep things running smoothly.
You'll also want to look for RAM that uses Double Data Rate (DDR) technology for faster data transfer rates, which is especially helpful in memory-intensive tasks. The most common standard is the DDR4, like the 32GB DDR4-3200 MHz RAM in our HP ENVY Laptop (17-cw0097nr).
Storage
Look for solid-state drives (SSDs) with non-volatile memory express (NVMe) technology. These SSDs use flash memory to access and retrieve data at blazingly fast speeds. This means your applications will load faster, and your AI models will run smoother and faster.
Get a minimum of 1TB of storage space, depending on how big your applications and programs are. You can also mix things up with multiple storage configurations, like in our HP Laptop (17-cn3097nr). It's got a 256GB PCIe® NVMe™ M.2 SSD as the primary storage for speedy boot-up and program loading times. Plus, it's got a 1TB 5400 rpm SATA HDD for storing your data. This way, you get the best of both worlds with fast performance and ample storage space.
Operating system
The operating system (OS) is a key spec to consider when selecting a laptop for AI development.
Linux is a popular choice among developers for its stability, security, and customization options. It offers a wide array of developer tools and resources, which makes it ideal for tech-savvy users. On the other hand, Windows offers a user-friendly interface that many developers find intuitive and easy to use.
We equip our HP laptop models with Windows OS to accommodate many users. For those with advanced skills, you can run Ubuntu and other Linux distributions on Windows 10 and 11 using the Windows Subsystem for Linux.
Connectivity options
AI applications that rely on cloud-based services require an internet connection to function. Pick AI laptops that support cellular connectivity or WiFi 6 or WiFi 6E standards for faster wireless internet speeds.
Check whether the laptop has Thunderbolt™ 4 ports or HDMI to share your screen on external monitors for easier collaboration with your colleagues.
We’ve designed our laptops with USB Type-C ports for enhanced connectivity and incredibly fast data transfers. The 16t-wf000, 17-cw0097nr, and 16-aa0097nr models offer an impressive 40Gbps signaling rate.
Display quality
A high-fidelity display with a wide color gamut, accurate color reproduction, and sharp, detailed visuals allows users to visualize data, code, and graphical models precisely and accurately.
We recommend at least a Full High-Definition (FHD) resolution display. But you can opt for a Quad-High Definition (QHD) resolution or higher if your work uses Photoshop to upscale videos or image manipulation.
If you work for long periods, look for laptops with features like anti-glare and Low Blue Light to help reduce eye strain and fatigue. Our HP ENVY model boasts the highest resolution with an incredible 4K display, suitable for editing images on the go.
Battery life
Another important laptop spec for running AI is the battery life. A reliable battery with a long life allows you to complete your workflow from anywhere without the hassle of constantly hunting for power outlets.
Our laptops are designed with batteries that offer more than 10 hours of video playback time, though actual usage may vary depending on your specific tasks and usage patterns. Plus, you can use HP’s fast charging capabilities to quickly recharge the battery up to 50% in 30 mins with the 16-aa0097nr, 16t-wf000, and 17-cw0097nr models.
Cooling solutions
Running ML and AI applications can heat your laptop quickly. This can cause thermal throttling, where your laptop reduces performance to cool off. It can damage hardware components if the workloads are sustained long without adequate cooling solutions.
We use advanced cooling solutions such as OMEN Tempest Cooling technology in our laptops to help prevent overheating. Plus, with the OMEN Gaming Hub, you can monitor the temperature and adjust fan speed to keep your laptop running smoothly.
AI framework compatibility
AI frameworks are software libraries that provide pre-built code blocks, tools, and functionalities to simplify and accelerate development. Examples of some popular AI frameworks include TensorFlow, PyTorch, Keras, and scikit-learn. While these frameworks are designed to be platform-independent and can run on various operating systems, compatibility may vary based on the specific hardware and software environment.
We prioritize compatibility and performance optimization for AI frameworks on our laptops. We equip them with ample memory, powerful processors, and graphics capabilities to meet the computational demands of AI workloads. Additionally, we use Windows OS in our models to provide a platform for AI development. However, you can still use Linux via Microsoft’s Windows Subsystem for Linux.
User-friendly AI development features
We offer a one-month free trial for Adobe Creative Cloud. Graphic designers can leverage applications like Photoshop or Premiere Pro from Adobe Creative Suite for AI-accelerated image editing or generating images from text descriptions.
Our OMEN Command Center provides users with tools to monitor system performance, adjust fan speeds, and optimize system settings for gaming and AI workloads. This includes optimizing GPU performance for AI tasks and ensuring efficient resource allocation.
Furthermore, we provide access to a growing community of developers where you can find tutorials and documentation on AI development. This community offers valuable resources and support for users throughout their journey.
Summary
Some key laptop specifications you need to run AI applications smoothly include a robust processor, fast SSD storage, and discrete GPU optimized for AI tasks. You should also consider compatibility with AI frameworks in your software environment.
Consider what AI tasks you’ll be doing so you can select a sufficiently powered and optimized laptop within your budget.
