The landscape of artificial intelligence is currently undergoing a fundamental shift. We’re moving away from the era of AI that merely chats and into an era of autonomous agents that work for you. In this new paradigm, AI transforms from an online chat partner to a set of experts, researchers, and assistants that live on your hardware.
Part of what’s so exciting about agentic AI is that it’s possible today with standard PC hardware. You don’t have to wait for some far-off future empowered by hoped-for hardware innovations. Today’s PC hardware is ready to help you automate facets of your personal and professional life. People are putting laptops, mini PCs, desktop PCs, even PC gaming handhelds to work as control centers for agentic AI.
All that said, agentic AI workloads are different from other PC use cases. Agentic AI is most useful when it’s always running and available, but not every PC is designed with always-on use in mind. Hardware requirements are different, too. The amount of memory that you need for running a few browser windows and an Excel spreadsheet is vastly different from what you need to have an agent capable of following in your footsteps throughout a full workday. And even after you’ve broken free of memory limitations, there are concerns with compute power, cooling, and fast storage space to reckon with.
To help get you started, we’ve put together this guide for selecting the right PC for your agentic AI lab. For reasons that we’ll discuss in a moment, we’ll focus primarily on mini PCs. Along the way, we’ll help you understand what’s possible with the different tiers of mini PCs available to you today and make some specific recommendations for hardware configurations.
Why are mini PCs so popular for agentic AI?
Mini PCs stand out from other options due to their surprisingly small size, but at the end of the day they’re still PCs. You can use a desktop PC or laptop to run agentic AI, too, with pros and cons for each option.
Check out online discussion, though, and you’ll see many people specifically recommending mini PCs to anyone building an agentic AI platform from scratch. Partly, it’s due to their compact, unobtrusive form factor. Since you’re best off running your agentic AI platform running on a separate device from your primary PC, you probably want a machine that’s not going to take up much space in your home. A mini PC fits that bill nicely. Additionally, these PCs are very power efficient. Even if your mini PC is running continuously, it’s not likely to significantly affect your electricity bill.
To be fair, there are reasons why you might consider other PC form factors instead. Desktop PCs stand out for their upgradability, giving you the option to beef up compute capabilities through desktop-class graphics cards and premier CPUs. They support the largest storage and memory arrays in the consumer PC space. However, they will take up more space in your home. Laptops offer all-in-one convenience, and their built-in battery provides resilience against the odd power outage, but laptops aren’t designed for always-on operation by default. You’ll need to adjust some Windows settings and make sure the system is getting the cooling it needs for sustained agentic AI workloads.
In another guide, we’ll cover desktop and laptop agentic AI setups in more detail. But since mini PCs are such a popular choice for getting started, we’ll focus on them here.
Setting performance expectations: the cloud is still king, but local AI gives you control, cost savings, and privacy
At this point, you might be wondering how it is that a compact mini PC, a device small enough to hold in the palm of your hand, can replicate the agentic AI performance that people are getting through cloud-based subscription. How can a mini PC compete with a data center?
The short answer is that it can’t. Access to frontier models and the reasoning capabilities they provide still requires a subscription to services like Claude Opus, Gemini, or GPT-5.5.
But those cloud-based services have their drawbacks, too. Agentic AI requires many more tokens than standard AI use, and that can lead to unexpectedly high costs for users running agentic AI through a cloud-based API. They require your data to live in the cloud and they require a constant internet connection, both of which can be a non-starter for many users.
What many folks are finding is that local AI can provide them with “good-enough” performance for agentic AI workloads, especially for routine everyday tasks that don’t require the prowess of a frontier model, all while freeing them from costs and token-based limitations. A mini-PC with a deep pool of system memory can run surprisingly large models, albeit more slowly than a server could. But for a task that you’re happy to have run in the background while you’re working on other things, that isn’t necessarily a big limitation.
ASUS NUC mini PCs are a highly configurable choice for agentic AI
For more folks, a Windows 11 mini PC is an excellent choice for agentic AI. Sticking with Windows 11 means that you can use a familiar, easy operating system for getting everything set up. Mini PCs are compact and easy to deploy. You can even use VESA mounting to make sure that your agentic AI system is out of the way even as it runs.
As you’re comparing your mini PC options, pay close attention to a few key specs. First, we recommend a CPU that includes an integrated NPU. Unless you opt for a specialized mini PC with a discrete GPU, you’ll be leaning on your CPU and system memory for your workflows, and an NPU is specialized to run AI-related operations efficiently.
Second, and perhaps most importantly, get a healthy amount of system memory. Larger quantities of memory will allow you to run larger models with larger context windows, allowing for more advanced reasoning, longer-running conversations, and tasks that require your agents to keep substantial quantities of data in memory. You can run a very efficient and small LLM on a mini PC with 16GB of RAM, but 32GB will prove its value very quickly. Advanced users should consider even more.
One mini PC option you might consider right now is the ASUS NUC 14 Pro AI. Featuring an Intel Core Ultra processor (Series 2) with multiple CPU, GPU, and NPU architectures, this system puts 120 platform TOPS at your fingertips. It’s configurable with up to 32GB of DDR5. The built-in microphone and speaker array gives you a convenient way to set up hands-free interaction with your AI agents. Power users might benefit from keeping an eye on the ASUS NUC 16 Pro, our most recent system. Availability is rolling out, and available configurations will include options with the latest Intel CPUs and premium pools of memory.
Elevated on-device AI performance for wide audiences
Qualcomm Snapdragon processors are making a name for themselves in the Windows PC space, not just for efficient operation that enables long-running battery life but also elite AI performance. Coming, soon, you’ll be able to pick up our first Qualcomm-powered AI mini PC, the ASUS Ascent QN10.
Despite its compact footprint, it delivers an 80 TOPS NPU alongside an 18-core Qualcomm Oryon™ CPU and integrated Adreno™ GPU, enabling fast, responsive, always-on AI experiences. The exceptional power efficiency and cooling design of the Ascent QN10 makes it an excellent choice for an always-on agentic AI system. With a vapor chamber cooling system for the CPU and dedicated cooling for the PCIe 5.0 M.2 SSD slot, you’ll be run near-continuous AI workloads without trouble.
Stay tuned for more information on the availability of the Ascent QN10.
The creative sweet spot: the ProArt Mini PC
Just announced at Computex 2026, a new wave of Windows PCs promises to usher in a new era of agentic AI capability, all while retaining the ultracompact mini PC form factor. The ProArt Mini PC is one of the very first of these systems. Powered by an NVIDIA RTX Spark Superchip, this system is designed for AI, creating, and gaming, all in one system with a unified memory architecture.
By moving to a platform with up to a 6,144 core Blackwell RTX GPU, up to a 20 Core ultra-efficient CPU, and up to 128GB of unified memory, you’ll have up to 1 petaflop of FP4 AI performance to play with. That could be literal play, as the ProArt Mini PC is ready to play the latest and greatest games with the full suite of NVIDIA game-enhancing technologies like DLSS and G-SYNC. But it’s built from the ground up for agents, creating a world where your local doesn’t have to run in the background, but instead has rapid responsiveness even as you load massive datasets and render rich environments.
Stay tuned for more information on the availability of the ProArt Mini PC.
The Ascent GX10 gives you specialized performance for AI in a design that’s ready to scale
For many users, the familiarity and versatility of a Windows 11 mini PC are highly valuable. But if you’re looking for a specialized AI powerhouse for development and deployment, you’re likely looking for a system that focuses exclusively on potent AI performance. For you, we’ll recommend the ASUS Ascent GX10.
It’s best to think of this system as an ultra-small AI supercomputer. It’s still a mini PC, but it runs the NVIDIA DGX OS with Ubuntu Linux, and it’s powered by the NVIDIA GB10 Grace Blackwell Superchip found in the NVIDIA DGX Spark. It brings petaflop-scale AI computing capabilities directly to the desks of developers, AI researchers, and data scientists. All configurations feature a whopping 128GB of LPPDR5X memory, differing only in storage capacity, giving you the capability to run to potent models right on your desk. It’s even possible to scale up the system to handle even larger models. NVIDIA ConnectX-7 allows two GX10 systems to be linked together.
The Ascent GX10 is a premium system with a laser focus on AI performance. You’ll have to look at much larger workstations to get more advanced power for your agents. If sticking with the compact frame of a mini PC is a must for your setup, but you also need the performance of an AI supercomputer, this is the system for you.
The verdict: which mini PC is best for your agentic AI system?
Choosing the right hardware for your AI lab is a balance of three factors: your primary use case, your tolerance for latency, and your physical workflow. If you are looking for a private way to automate your home, everyday life, and productivity, an ASUS NUC or the Ascent QN10 is a more-than-capable starting point. You have access to a wide range of configurations, and as Windows 11 PCs they’re very easy for most people to set up.
If you’re looking at more advanced AI applications and you need advanced compute capabilities in addition to lots of memory, you might want to keep an eye on the ProArt Mini PC. RTX Spark was just announced, so expect more information on this system shortly. But it’s poised to change your expectations for what a PC can accomplish.
Finally, the Ascent GX10 stands ready for power users, developers, and researchers. This specialized piece of kit is built first and foremost for incredible AI performance. With 128GB of unified system memory, it unlocks access to models that would bog down lesser machines. Compared to the token cost of running a busy network of agents on a cloud-based AI provider, it’s a very effective option for controlling costs, as well.
Ultimately, don’t let the “mini” in mini PC fool you into thinking you have to sacrifice power. The performance you need for running a very capable agentic AI network is available today, and it doesn’t even need to take up that much space on your desk.