Key takeaways
- NPU performance (TOPS): The neural processor’s TOPS rating drives on-device AI speed. Look for 40+ TOPS to meet Copilot+ standards, with 80+ TOPS for serious local AI work.
- Memory capacity: AI workloads are memory-hungry. Aim for at least 32GB of DDR5, and prioritize models expandable to 64GB or 128GB for running larger models.
- CPU and iGPU: A strong processor like AMD’s Ryzen AI 9 HX 370 or Intel’s Ultra 9 keeps AI and general tasks fast, and a capable integrated GPU helps with rendering and light gaming.
- Storage and expansion: A fast, roomy NVMe SSD matters for large models and datasets. Multiple M.2 slots and USB4/Oculink add valuable expansion for external GPUs and storage.
- Connectivity: Wi-Fi 7, USB4 at 40Gbps, and multi-display support future-proof the machine and enable fast data movement for AI pipelines.
What's inside
The rise of on-device AI has created a genuinely new category: the mini PC for AI. These pocketable powerhouses pack neural processing units rated for dozens of TOPS alongside capable CPUs and GPUs, letting you run local AI models, accelerate creative apps, and tap Copilot+ features without a bulky tower or cloud dependency. For creators, developers, and productivity enthusiasts, they’re an exciting way to get AI horsepower in a tiny footprint.
We compared the leading AI-focused mini PCs from GEEKOM and GMKtec to sort out which deliver the best mix of NPU performance, memory, and value. These machines vary widely in their AI credentials, so the details matter. Here’s our guide and top picks.
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How to Choose a Mini PC for AI
- NPU performance (TOPS): The neural processor’s TOPS rating drives on-device AI speed. Look for 40+ TOPS to meet Copilot+ standards, with 80+ TOPS for serious local AI work.
- Memory capacity: AI workloads are memory-hungry. Aim for at least 32GB of DDR5, and prioritize models expandable to 64GB or 128GB for running larger models.
- CPU and iGPU: A strong processor like AMD’s Ryzen AI 9 HX 370 or Intel’s Ultra 9 keeps AI and general tasks fast, and a capable integrated GPU helps with rendering and light gaming.
- Storage and expansion: A fast, roomy NVMe SSD matters for large models and datasets. Multiple M.2 slots and USB4/Oculink add valuable expansion for external GPUs and storage.
- Connectivity: Wi-Fi 7, USB4 at 40Gbps, and multi-display support future-proof the machine and enable fast data movement for AI pipelines.
The Best Mini PCs for AI Reviewed
GEEKOM A9 Max
Built around AMD’s Ryzen AI 9 HX 370 with up to 80 TOPS, the A9 Max pairs 32GB of DDR5 (expandable to 128GB) with a 1TB or 2TB SSD, Wi-Fi 7, and USB4. It’s a Copilot+ PC that handles 8K video editing and 3D rendering, making it one of the most well-rounded AI mini PCs available.
GMKtec EVO-X1
The EVO-X1 combines the Ryzen AI 9 HX-370 at 80 TOPS with Radeon 890M graphics, 32GB of DDR5, and a 1TB PCIe 4.0 SSD, plus triple 8K display support and USB4 Oculink for external GPU expansion. It’s a strong pick for creators who want AI power and gaming-capable graphics.
GEEKOM IT15
Powered by Intel’s Ultra 9 285H at 99 TOPS with an Arc 140T GPU, 32GB of DDR5, and a 1TB SSD, the IT15 is the raw performance leader here. Its high TOPS rating and strong iGPU make it a formidable workstation for AI, business, and creative multitasking.
GEEKOM A7 Max
The A7 Max uses the Ryzen 9 7940HS with Radeon 780M graphics, 16GB of DDR5, and a 1TB SSD. While its AI credentials are more modest than the newer HX 370 models, it’s an excellent value multitasker for creators and office work with a three-year warranty.
GMKtec K15
The K15 pairs Intel’s Ultra 5 125U with 32GB of DDR5 and a 1TB PCIe 4.0 SSD, adding three M.2 expansion slots, Oculink, and quad 8K display support. It’s the expansion-focused choice for those who want to grow their setup over time at a friendlier price.
Frequently Asked Questions
What makes a mini PC good for AI?
A high-TOPS NPU, ample DDR5 memory, and a capable CPU and iGPU. Models with 80+ TOPS like the GEEKOM A9 Max and GMKtec EVO-X1 handle serious on-device AI and Copilot+ features well.
How much RAM do I need for AI workloads?
32GB of DDR5 is a sensible minimum, and expandability to 64GB or 128GB is valuable for running larger local models. Prioritize memory capacity for AI-heavy use.
Can these mini PCs run local AI models?
Yes, the higher-end models with strong NPUs and plenty of memory can run many local AI models and accelerate AI features in creative apps, though the largest models still favor dedicated GPUs.
Do mini PCs for AI support external GPUs?
Several, like the GMKtec EVO-X1 and K15, include USB4 or Oculink for external GPU enclosures, letting you add discrete graphics power for heavier AI and gaming workloads.
Final Thoughts
The best mini PC for AI depends on your priorities. For the most well-rounded package, the GEEKOM A9 Max delivers 80 TOPS, huge memory expandability, and 8K editing chops, while the Intel-powered GEEKOM IT15 leads on raw performance at 99 TOPS. Creators wanting gaming-capable graphics should eye the GMKtec EVO-X1, and expansion-minded buyers will love the GMKtec K15. Match the NPU and memory to your AI ambitions, and you’ll have a tiny yet formidable AI workstation.
