Running local LLMs (Large Language Models) requires a powerful laptop with a high-end GPU, multi-core CPU, ample RAM, and fast SSD storage. Unlike cloud-based AI, local LLMs offer better privacy, flexibility, and control, but they also demand serious computational power.
Choosing the best laptops for local LLMs ensures smooth AI processing, fast model execution, and optimal performance. In this guide, we’ve reviewed the top 5 laptops based on GPU performance, thermal efficiency, and value for money to help you find the perfect machine for your AI needs.
Let’s explore the key factors to consider and our top picks!
Key Factors to Consider When Choosing the Best Laptops for Local LLMs
When selecting the best laptops for local LLMs, you need to focus on hardware performance, efficiency, and long-term usability. Since running LLMs requires high computational power, not every laptop is up for the task. Below are the essential factors to consider before making a purchase.
1. GPU & CPU Performance – The Power Behind Local LLMs
A dedicated GPU is crucial for running AI models efficiently. NVIDIA’s RTX 4060, 4070, 4080, or 4090 and AMD’s Radeon 7000 series are ideal for handling tensor operations and AI model inference.
For CPUs, opt for Intel Core Ultra 7/9, AMD Ryzen 9, or Apple M3 Max for multi-core processing and high-speed AI computations. The more cores and threads, the faster your LLM will execute tasks.
2. RAM & Storage – Handling Large AI Models
Local LLMs consume significant memory, making 32GB RAM the minimum requirement. For advanced AI tasks, 64GB or even 128GB is preferable.
SSDs are equally important—opt for at least a 1TB NVMe SSD to store large model weights and datasets without slowdowns.
3. Thermal Management – Keeping Performance Stable
Running local LLMs generates intense heat, so a well-designed cooling system is vital. Laptops with vapor chambers, advanced fan cooling, or liquid metal cooling ensure stable performance under heavy AI workloads.
4. Battery Life vs. Power Consumption
High-performance laptops drain battery life quickly, so expect to use your laptop plugged in for extended LLM tasks. While portability is nice, prioritizing raw performance over battery longevity is key for AI computing.
5. Portability vs. Workstation-Class Laptops
If you need mobility, look for thin-and-light performance laptops like the MSI Stealth A16 AI+. However, if performance is your top priority, consider heavier workstation-class laptops like the Asus ProArt Studiobook 16 OLED for superior AI computing power.
Choosing the best laptops for local LLMs depends on your workload. Prioritize a powerful GPU, high-core CPU, ample RAM, and efficient cooling to ensure optimal AI performance.
5 Best Laptops for Local LLMs in 2025
Now that we’ve covered the key factors to consider, let’s dive into the best laptops for local LLMs in 2025. These laptops offer powerful GPUs, high-performance CPUs, ample RAM, and advanced cooling systems, making them ideal for AI workloads.
1. Dell XPS 16 (2024)
- Specifications:
- Processor: Intel Core Ultra 7/9 (Meteor Lake CPUs)
- GPU: NVIDIA GeForce RTX 4070 (up to 80W sustained performance)
- RAM: Up to 64GB LPDDR5x
- Storage: Up to 4TB SSD
- Display: Options for FHD+ IPS or 4K+ OLED with Dolby Vision
- Battery: 100Wh with ExpressCharge (80% in 60 minutes)
- Key Features:
- Built-in AI acceleration engine with an NPU (Neural Processing Unit) for optimized workloads.
- Windows Copilot integration for AI-assisted productivity.
- Lightweight design with InfinityEdge display and premium build quality.
- Why It is Great for LLMs:
The combination of a powerful GPU, high RAM capacity, and an NPU makes it ideal for running local LLMs efficiently. The AI engine dynamically allocates resources between CPU, GPU, and NPU, ensuring smooth multitasking and power efficiency. - Limitations:
Limited port options (no USB-A or HDMI), and the memory is not user-replaceable.
2. Asus ProArt Studiobook Pro 16 OLED
- Specifications:
- Processor: AMD Ryzen Threadripper PRO
- GPU: NVIDIA RTX A5000/A6000 (up to 48GB VRAM)
- RAM: Up to 128GB DDR4
- Storage: Up to 8TB SSD
- Display: 16-inch OLED, 4K resolution (3840 x 2400), Pantone validated
- Key Features:
- Stunning color-accurate OLED display covering nearly the entire DCI-P3 color gamut.
- Nvidia Studio drivers optimize performance for creative applications.
- Robust build quality with professional-grade hardware.
- Why It is Great for LLMs:
With massive RAM and storage options, this laptop is perfect for handling large datasets and computationally intensive tasks. The RTX A-series GPUs are designed for professional workloads, including AI model training and inference. - Limitations:
Expensive and limited refresh rate (60Hz), which may not appeal to gamers or those needing a smoother display.
3. MSI Stealth A16 AI+
- Specifications:
- Processor: AMD Ryzen AI Series (Ryzen AI-300)
- GPU: NVIDIA GeForce RTX 4070
- RAM: Up to 32GB DDR5
- Storage: Up to 1TB SSD
- Display: QHD+ (2560 x 1600) with a high refresh rate of up to 240Hz
- Key Features:
- AI-enhanced CPU with built-in NPU for efficient AI processing.
- Slim, portable design with per-key RGB keyboard.
- Why It’s Great for LLMs:
The Ryzen AI processor enhances performance in AI-specific tasks, while the RTX GPU ensures fast model inference. Its portability makes it ideal for professionals on the go. - Limitations:
Shorter battery life under heavy workloads and average speakers.
4. Asus ROG Zephyrus G16
- Specifications:
- Processor: Intel Core Ultra series
- GPU: NVIDIA GeForce RTX 4090
- RAM: Up to 64GB DDR5
- Storage: Up to 2TB SSD
- Display: QHD+ OLED with Dolby Vision
- Key Features:
- High-end GPU performance with excellent cooling solutions.
- Compact and lightweight design with premium build quality.
- Why It is Great for LLMs:
The RTX GPU provides exceptional computational power for training and inference of large models. The QHD+ OLED display ensures clarity when visualizing data or results. - Limitations:
Soldered RAM limits future upgrades, and the GPU may not reach its full potential due to power constraints.
5. Lenovo Legion Pro 5i Gen 9
- Specifications:
- Processor: Intel Core i7 HX Series
- GPU: NVIDIA GeForce RTX 4060
- RAM: Up to 32GB DDR5
- Storage: Up to 1TB SSD
- Display: Bright IPS panel with high refresh rates
- Key Features:
- Affordable yet powerful hardware configuration.
- Efficient cooling system for sustained performance during long workloads.
- Why It is Great for LLMs:
This laptop offers excellent value for mid-range LLM tasks, providing sufficient GPU power and RAM at a competitive price point. It is suitable for developers working on smaller-scale models or inference tasks. - Limitations:
Limited battery life and smaller base storage compared to other options
These laptops cater to varying budgets and performance needs while excelling in running local LLMs effectively.
Comparison Table: Best Laptops for Running Local LLMs
To help you quickly compare the best laptops for local LLMs, here’s a summary table showcasing their key strengths, limitations, and ideal use cases.
| Laptop | Key Strengths | Limitations | Best For |
|---|---|---|---|
| Dell XPS 16 (2024) | Powerful CPU & GPU, stunning 4K OLED display | Heavy, low-profile keyboard | AI professionals & content creators |
| Asus ProArt Studiobook 16 OLED | High RAM/storage, excellent color-accurate OLED display | Expensive, 60Hz refresh rate | AI researchers, deep learning experts |
| MSI Stealth A16 AI+ | Portable, powerful Ryzen AI CPU, 240Hz QHD display | Average speakers, short battery life | AI developers on the go |
| Asus ROG Zephyrus G16 (2024) | Premium build, top-tier RTX 4090 GPU, OLED display | Power limitations restrict full GPU potential, soldered RAM | High-end AI computing & gaming |
| Lenovo Legion Pro 5i Gen 9 | Affordable, solid performance, bright display | Below-average battery life, smaller SSD storage | Budget-conscious AI users |
How to Choose the Right Laptop for Your Needs
- If you need a high-performance AI workstation, go for the Asus ProArt Studiobook 16 OLED.
- For a portable yet powerful option, the MSI Stealth A16 AI+ is a great pick.
- If you want top-tier AI performance and gaming capabilities, the Asus ROG Zephyrus G16 is your best bet.
- Those looking for an affordable but capable machine should consider the Lenovo Legion Pro 5i Gen 9.
Final Thoughts
Each of these best laptops for local LLMs caters to different needs, from premium AI workstations to budget-friendly options. If you need top-tier performance, the Asus ProArt Studiobook 16 OLED is unbeatable. However, if you want a portable yet powerful option, the MSI Stealth A16 AI+ is a great pick.
The right laptop depends on your budget, workload, and portability needs. Whether you’re an AI enthusiast, developer, or researcher, these best laptops for local LLMs offer the power and efficiency required for training and running AI models.
