9 Best Mini PCs for AI (October 2026)
The best mini PCs for local AI workloads include the GMKtec EVO-X2 AI Mini PC AMD Ryzen for larger local models, the GMKtec K15 AI Mini PC Oculink Intel for efficient AI workloads, and the GEEKOM A9 Max Top AI Mini PC for mixed local and cloud work.
On this page (7 sections)
The best mini PC for AI depends on the model and software you want to run. The GMKtec EVO-X2 stands out for larger local workloads, while HX 470 systems offer another path with a dedicated NPU and expandable memory on some models.
A high TOPS number alone doesn't tell you whether an AI app will run well. Check whether the software supports the PC's CPU, integrated graphics or NPU, then compare the model's memory needs with the system's available RAM.
For a broader look at useful mini PC roles, see What Is a Good Use Case for a Mini PC? What to Know.
For a home automation setup, see our mini PCs for Home Assistant.
If your work includes images, our photo editing mini PC guide explains how memory and graphics affect that kind of workload.
Our picks at a glance
-
1
-
2
Best for efficient AI workloadsGMKtec K15 AI Mini PC Oculink Intel
9.6/10 our score
See it on Amazon -
3
Which mini PCs for AI suit different workloads?
The GMKtec EVO-X2 is the strongest pick here for memory-intensive local AI, while the remaining options fit different processor platforms, upgrade plans and workloads. We compared the listed processor, memory, graphics and expansion details, but software compatibility should guide your final choice.
GMKtec EVO-X2 AI Mini PC AMD Ryzen: Best for larger local models
- Ryzen AI Max+ 395
- 16 CPU cores and 32 threads
- 50+ peak NPU AI TOPS
- On-board LPDDR5X memory
The Ryzen AI Max+ 395 combines a dedicated NPU with integrated Radeon graphics and a large shared memory pool. It is the most capable fit here for buyers planning to run larger models locally.
Pros
- Dedicated XDNA 2 NPU
- Large shared memory pool
- Four-display support
Cons
- On-board memory is not user-upgradeable
- More capability than light AI tasks may need
The EVO-X2 uses AMD's Ryzen AI Max+ 395, with 16 Zen 5 CPU cores, 32 threads and an XDNA 2 NPU rated for 50+ peak AI TOPS. Its integrated Radeon 8060S graphics share a large memory pool, which can matter when a local model needs more room than a small system provides.
GMKtec describes LM Studio and llama.cpp workloads as use cases for the system. Treat that as a starting point for checking compatibility, since the model, quantization, software version and settings affect what will run.
The memory is on-board LPDDR5X, so it isn't a later upgrade. The PC also has dual USB4 ports, HDMI 2.1 and DisplayPort 1.4 for displays, plus an SD card reader for media transfer.
Choose it if you want a compact system with a large shared memory pool for local AI experiments. Look elsewhere if you need replaceable system memory or mainly use AI features that run on a modest NPU.
GMKtec K15 AI Mini PC Oculink Intel: Best for efficient AI workloads
- Intel Core Ultra 5 125U
- Intel AI Boost
- 32GB DDR5 memory
- Three M.2 slots
The Core Ultra 5 125U has a 15 W TDP and Intel AI Boost, making this a lower-power option for compatible AI tasks. Its OCuLink port also allows an external GPU setup.
Pros
- 32GB DDR5 memory
- Three M.2 storage slots
- OCuLink port for eGPU setups
Cons
- Integrated graphics
- NPU and graphics support depend on the software
The K15 takes a different route with an Intel Core Ultra 5 125U, 32GB of DDR5 memory and Intel AI Boost. Its integrated Intel graphics are rated at 7 TOPS (Int8), so check which specific AI tasks can use that hardware before counting on local acceleration.
The listed configuration includes three M.2 2280 slots and supports up to 96GB of memory. OCuLink is available for an external GPU setup, which may help if your software can use a separate graphics card and you're prepared to build around one.
This is the lower-power option among these picks, with a stated 15 W TDP for its processor. That doesn't predict every workload's performance, but it may appeal if power use is part of your setup decision.
Choose it if you prefer an Intel platform, want upgrade options and expect your apps to support Intel AI hardware. Check alternatives if your AI workflow depends on a more capable integrated graphics processor.
GEEKOM A9 Max Top AI Mini PC: Best for mixed local and cloud work
- AMD Ryzen AI 9 470
- Up to 86 platform AI TOPS
- Up to 55 NPU AI TOPS
- 32GB DDR5 memory
The A9 Max combines a Ryzen AI processor, Radeon 890M graphics and an NPU. Its 32GB of DDR5 memory is expandable, which adds room for larger projects as needs change.
Pros
- Up to 55 NPU AI TOPS
- Upgradeable memory
- Dual 2.5GbE and Wi-Fi 7
Cons
- Integrated graphics
- Check memory needs for the models you plan to run
The GEEKOM A9 Max combines an AMD Ryzen AI 9 470 processor with Radeon 890M integrated graphics and an XDNA 2 NPU rated up to 55 TOPS. Its stated total platform AI performance is up to 86 TOPS, but that figure combines different processing units.
The system comes with 32GB DDR5 and supports memory expansion up to 128GB. Dual M.2 slots provide a place to add storage, which may be useful for keeping model files and project data on the same machine.
GEEKOM describes the A9 Max as supporting compatible quantized language and vision models. Confirm that your chosen app supports the Ryzen AI hardware, and check its memory guidance before trying a larger model.
Choose it if you want an HX 470 class system with upgradeable RAM and room to add storage. It also fits a workstation where local AI sits alongside other demanding tasks.
GEEKOM GT15 Max AI Mini PC: Best for Intel-based AI tools
- Intel Core Ultra 9 285H
- Up to 99 total platform AI TOPS
- Intel Arc 140T integrated graphics
- 32GB DDR5 memory
The GT15 Max combines an Intel processor with an NPU and Arc integrated graphics. It suits buyers whose AI tools support Intel's hardware and who want memory they can upgrade.
Pros
- Up to 99 total platform AI TOPS
- Upgradeable DDR5 memory
- Dual 2.5GbE ports
Cons
- Integrated graphics
- Total platform TOPS do not predict every model's speed
The GT15 Max uses Intel's Core Ultra 9 285H with Arc 140T integrated graphics and an NPU. GEEKOM states up to 99 total platform AI TOPS, combining CPU, GPU and NPU acceleration.
It comes with 32GB DDR5 memory, expandable to 128GB, and a 1TB SSD. Two USB4 ports, two HDMI 2.0 ports and Mini DisplayPort 1.4 support a multi-display setup, while dual 2.5GbE ports provide wired network options.
For local AI, the key question is whether your application can use Intel's available acceleration paths. TOPS figures from different hardware types aren't a direct measure of how fast one particular model will run.
Choose it if you want an Intel system with upgradeable memory and multiple built-in display connections. Check the AI software's requirements before choosing it over an AMD NPU option.
BOSGAME AI 9 Mini PC: Best for HX 470 performance
- AMD Ryzen AI 9 HX 470
- Up to 86 total platform AI TOPS
- 55 dedicated NPU AI TOPS
- 32GB DDR5 memory
This HX 470 system pairs a dedicated NPU with Radeon 890M integrated graphics. It also has OCuLink for buyers who may add an external GPU.
Pros
- 55 dedicated NPU AI TOPS
- Upgradeable memory and storage
- OCuLink eGPU port
Cons
- AI software must support the hardware you plan to use
- RAM and SSD upgrades are separate tasks
The BOSGAME AI 9 pairs a Ryzen AI 9 HX 470 processor with Radeon 890M graphics and a dedicated XDNA 2 NPU rated at 55 TOPS. Its stated total platform AI performance is up to 86 TOPS.
The included 32GB of DDR5 memory can be expanded, and three M.2 slots provide storage capacity for additional files or models. The OCuLink port offers an option to connect an external GPU when a supported workload needs more graphics compute.
BOSGAME lists local language models and AI image generation among the system's possible uses. Those tasks can vary widely in memory and accelerator needs, so match the specific model to the available RAM and software support.
Choose it if you want HX 470 hardware with OCuLink and upgradeable memory. It's a flexible starting point for local AI, provided your tools support its hardware.
BOSGAME M5 AI Mini PC: Best for high shared memory
- AMD Ryzen AI Max+ 395
- 128GB on-board LPDDR5X
- 50 TOPS XDNA 2 NPU
- Up to 96GB dynamic graphics memory
Its 128GB of on-board memory and Ryzen AI Max+ 395 suit memory-heavy local workloads. Check the memory allocation and model requirements for the AI software you plan to run.
Pros
- 128GB on-board memory
- Dedicated XDNA 2 NPU
- Second M.2 slot for storage expansion
Cons
- Memory is not upgradeable
- Large memory capacity alone does not guarantee software compatibility
The BOSGAME M5 combines the Ryzen AI Max+ 395 with 128GB of on-board LPDDR5X memory. It also has an XDNA 2 NPU rated at 50 TOPS and integrated Radeon 8060S graphics.
Its larger memory capacity is the main distinction from the other choices here. BOSGAME says the graphics can use dynamic memory allocation, but available memory depends on system use and settings, so check the needs of your target model rather than assuming the full amount is free.
Because its RAM is on-board, the memory configuration is a decision to make before buying. The M5 also has two M.2 slots, so storage can be expanded separately.
Choose it if your local workflow needs a lot of memory and you want the Ryzen AI Max+ 395 platform. If you expect your RAM needs to change later, a system with replaceable memory may fit better.
Reatan X8 Mini PC: Best for upgradeable HX 470 memory
- AMD Ryzen AI 9 HX 470
- 48GB removable DDR5 memory
- Up to 86 AI TOPS
- OCuLink eGPU port
The X8 starts with 48GB of removable DDR5 memory and supports up to 96GB. OCuLink gives you an expansion path if your AI or graphics work later needs a separate GPU.
Pros
- 48GB memory included
- Memory and storage are removable
- OCuLink port
Cons
- Integrated graphics
- Confirm that your AI software supports the chosen accelerator
The Reatan X8 pairs an HX 470 processor with 48GB of removable Crucial DDR5 memory. It supports up to 96GB, so the installed memory can be expanded if a model or workload needs more.
The integrated Radeon 890M graphics and NPU support local AI tasks when the software is compatible. The X8 also includes OCuLink, dual M.2 storage slots and USB4, giving you more ways to add storage or connect peripherals.
Reatan describes the system as suitable for local AI, programming and data analysis. These are broad workload categories, so check the hardware support and memory guidance for the actual apps you plan to use.
Choose it if you want an HX 470 mini PC with 48GB installed and removable memory. Its OCuLink port also gives you an external GPU option for supported software.
Glorlin AI Mini PC AMD Ryzen: Best for everyday AI features
- AMD Ryzen 7 Pro 8845HS
- Up to 38 total system AI TOPS
- 16 dedicated NPU AI TOPS
- 16GB DDR5 memory
The Ryzen 7 Pro 8845HS includes an NPU for compatible AI features such as video-call effects. Its 16GB of memory makes it a better fit for lighter tasks than memory-heavy local models.
Pros
- Dedicated NPU for compatible features
- Memory can be expanded
- Dual 2.5GbE ports
Cons
- 16GB included memory
- Only 16 dedicated NPU AI TOPS
The Glorlin uses a Ryzen 7 Pro 8845HS with integrated Radeon 780M graphics and a dedicated AMD Ryzen AI NPU rated at 16 TOPS. Its stated total system AI capability is up to 38 TOPS.
This pick comes with 16GB of DDR5 memory in one module and a 500GB SSD. Glorlin says the memory is expandable, which is useful if your chosen workload needs more RAM, but the starting configuration is a better fit for lighter AI features than memory-heavy local models.
The product information names tasks such as background blur and noise cancellation as possible NPU uses. Check that your video-call or editing software supports the hardware and can use the NPU.
Choose it if your AI use is limited to compatible everyday features and you'd like a lower-memory starting configuration. For larger local models, look at systems with more memory included.
MINISFORUM AI X1 Pro-470 Mini PC: Best for eGPU expansion
- AMD Ryzen AI 9 HX 470
- Up to 86 AI TOPS
- OCuLink interface
- Three M.2 storage slots
The X1 Pro-470 pairs an HX 470 processor with OCuLink for external graphics and three M.2 slots. It suits buyers planning an expansion path for storage or GPU compute.
Pros
- OCuLink interface
- Three M.2 SSD slots
- Supports up to 128GB DDR5
Cons
- Integrated Radeon 890M graphics
- Confirm the exact memory configuration before buying
The MINISFORUM AI X1 Pro-470 uses a Ryzen AI 9 HX 470 processor with Radeon 890M integrated graphics and up to 86 AI TOPS. OCuLink adds an option to connect an external graphics card for software that supports GPU acceleration.
It supports up to 128GB of DDR5 memory and has three M.2 SSD slots. That combination leaves room to expand memory and storage, though its included 32GB should be compared with the requirements of the models you want to run.
MINISFORUM lists up to four 4K displays, Wi-Fi 7 and dual 2.5GbE among its features. These connections may suit a multi-screen workspace, but they don't change whether an AI app can use its NPU or GPU.
Choose it if you want OCuLink and multiple storage slots in an HX 470 mini PC. Verify the memory configuration and AI software support before planning your setup.
What should you check before choosing an AI mini PC?
Start with the AI software and model, then choose a mini PC whose supported hardware and memory match those requirements. A device described as an AI PC may still need a particular operating system, driver, runtime or graphics framework to use its NPU.
Check which processor features the app supports. NPU, integrated GPU and CPU performance are different, and a workload built to use one type of accelerator may not benefit from another.
Memory is another key limit. Local models need room in RAM or graphics memory, and the amount required changes with model size and quantization; verify how your software uses shared memory.
Think about upgrade paths before buying. Some systems use on-board memory, while others have removable RAM; OCuLink can support an external GPU setup on certain models, but a port by itself doesn't ensure compatibility with every card or AI app.
Are more AI TOPS always better?
No, a higher TOPS figure doesn't automatically mean a mini PC will run your specific AI model faster. TOPS describes a hardware capability under particular conditions, while the model, software, precision and accelerator support shape real performance.
Compare TOPS figures within context: the EVO-X2's NPU figure is not directly equivalent to another PC's combined CPU, GPU and NPU total. Check which unit produces the number and whether your software can use it.
Also weigh memory and cooling needs. An accelerator may be capable on paper, but a workload still needs enough memory and sustained system capacity to run as expected.
Can a mini PC handle AI and everyday work?
Yes, many AI mini PCs can also handle ordinary desktop work, but match the configuration to the mix of tasks you do. Memory used by local models is also needed by the operating system, browser and other apps.
For routine office use, email and web browsing, the 16GB Glorlin may be enough if your AI tools have modest requirements. If you're running a local model while editing media or using several apps, compare higher-memory systems and check whether their RAM is upgradeable.
Our guides to everyday mini PC tasks and web browsing and email on a mini PC cover those lighter workloads. They can help you avoid buying for AI capacity you won't use.
How much storage do local AI models need?
Storage needs depend on how many models, datasets and projects you keep on the PC. Model files can take substantial space, and updates or alternate versions add to the amount, so leave room for your operating system and other work.
Several picks have extra M.2 slots or support larger SSD configurations. Read how much storage to get in a mini PC before choosing a capacity, especially if you plan to keep several models installed.
What are the trade-offs of an AI mini PC?
An AI mini PC saves desk space and can run compatible tasks locally, but compact size limits how much hardware and cooling fit inside. Integrated graphics also share system resources, and systems with on-board memory leave less room to change the configuration later.
A dedicated NPU won't make every AI app faster, and local operation still requires setup, model downloads and software support. Review the disadvantages of a mini PC to weigh those limits against your space and workload needs.
Which mini PC should you choose for AI?
Choose the EVO-X2 if you need a large shared memory pool for demanding local models. Pick the BOSGAME M5 if its 128GB on-board memory suits your work, or choose an HX 470 model when upgradeable memory or OCuLink is more useful.
For lighter compatible features, the Glorlin may be enough. Before buying, confirm the AI app supports the PC's hardware and that the memory configuration fits the model you plan to run.
Our top 3 picks at a glance
-
1
-
2
Best for efficient AI workloads
GMKtec K15 AI Mini PC Oculink Intel
9.6/10 our score
See it on Amazon -
3
Frequently asked questions
Can a mini PC run AI locally?
Yes, a mini PC can run some AI tools locally if its processor, memory, graphics and software support the model. Smaller models and AI features such as noise reduction have lower needs than large language models.
Check the model's memory requirements and supported CPU, GPU or NPU before choosing a system.
Is an NPU enough for local AI?
An NPU can accelerate compatible AI tasks, but it doesn't guarantee that every AI app or model will use it. Software support matters as much as the TOPS figure.
Check the app's supported hardware and operating system, then compare its memory requirements with the PC's available RAM.
How much memory should a mini PC have for AI?
It depends on the model and workload. A small AI feature may work with less memory than a local language model, which needs room for the model and other running software.
Compare the app's memory guidance with the PC's installed RAM and whether that memory can be upgraded.
Do mini PCs need a separate graphics card for AI?
No, some AI workloads can use a mini PC's integrated graphics, processor or NPU. More demanding graphics or model tasks may call for a separate GPU, if the software supports it.
An OCuLink port can provide an eGPU expansion path on some models, but the full setup also needs a compatible external GPU.
Can AI run without an internet connection?
Yes, compatible AI software and models can run locally without an internet connection after setup. A local setup can keep the task on the device, though model downloads, updates and some app features may still need internet access.
Check the software's offline requirements before relying on it.
