Best Ryzen AI Mini PCs: The Max+ 395 Lineup in 2026
Every AMD Ryzen AI Max+ 395 mini PC shares the same 128GB-capable chip. Here is how the boxes differ — and how they compare to the NVIDIA DGX Spark.
A Ryzen AI mini PC is a compact desktop built on the AMD Ryzen AI Max+ 395, the Strix Halo chip that put up to 128GB of GPU-accessible memory in a box the size of a book. That memory is why these machines matter: they run large local AI models that used to demand an expensive graphics card, for a fraction of the price.
This guide compares the Ryzen AI Max+ 395 mini PCs worth buying in 2026 — the GMKtec EVO-X2, Beelink GTR9 Pro, Framework Desktop, and more. Because they share the same silicon, we rank them by memory, networking, cooling, and support. We also weigh the whole platform against the NVIDIA DGX Spark, the other way to get 128GB of AI memory on your desk.
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The EVO-X2 is the least expensive way into a full 128GB Ryzen AI Max+ 395 machine, which makes it the default pick for most people running local models. It delivers the same Strix Halo performance as pricier boxes and doubles as a capable everyday desktop.
- AMD Ryzen AI Max+ 395 (16 Zen 5 cores)
- Radeon 8060S iGPU (40 CUs)
- 128GB LPDDR5X-8000 unified memory
- Up to 96GB assignable to the GPU
- Lowest price for a full 128GB box
- Runs large local models well
- Strong all-round desktop performance
- ROCm tooling less mature than CUDA
- Cooling works hard under sustained load
The GTR9 Pro adds dual 10GbE networking and vapor-chamber cooling to the 128GB Ryzen AI Max+ 395 platform, so it stays quiet during long inference runs. For a home-lab or always-on AI server, the extra networking and thermal headroom justify the step up.
- AMD Ryzen AI Max+ 395
- 128GB LPDDR5X-8000 unified memory
- Dual 10GbE networking
- Vapor-chamber cooling, quiet under load
- Dual 10GbE for a home lab
- Quiet and well cooled
- Full 128GB unified memory
- Costs more than the value boxes
- ROCm tooling less mature than CUDA
The Framework Desktop brings the Ryzen AI Max+ 395 to a repairable, standard-form-factor machine aimed at people who service and reconfigure their own hardware. It reaches up to 128GB of unified memory and pairs the same local-AI power with an upgrade-friendly design.
- AMD Ryzen AI Max+ 395
- Repairable, standard form factor
- Up to 128GB LPDDR5X unified memory
- Well-documented, service-friendly build
- Repairable and service-friendly
- Same Strix Halo power
- Clean, supported design
- Higher cost once configured
- Memory is soldered — choose capacity upfront
The Bosgame M5 is another Ryzen AI Max+ 395 box that competes closely with the EVO-X2 on price, offering up to 128GB of unified memory for local AI. If the value pick is sold out or you want a second option, it covers the same ground at a similar level.
- AMD Ryzen AI Max+ 395
- Up to 128GB LPDDR5X unified memory
- Radeon 8060S integrated GPU
- Compact desktop form factor
- Competitive value pricing
- Full Strix Halo local-AI power
- A solid alternative to the EVO-X2
- Networking and cooling are more basic
- ROCm tooling less mature than CUDA
The HP Z2 Mini G1a brings the Ryzen AI Max platform into a compact workstation with the warranty, support, and manageability business IT wants. For a company standardising on a Strix Halo machine for local AI, it trades some value for enterprise-grade support.
- AMD Ryzen AI Max workstation platform
- Up to 128GB unified memory
- Workstation warranty and support
- Business manageability options
- Enterprise support and warranty
- Compact workstation build quality
- Easier to standardise a fleet on
- Premium over consumer boxes
- Less DIY-friendly than the value picks
Ryzen AI Max+ 395 mini PCs at a glance
| Ryzen AI mini PC | Best for | Memory | Standout |
|---|---|---|---|
| GMKtec EVO-X2 | Value / cheapest 128GB | 128GB unified | Lowest 128GB price |
| Beelink GTR9 Pro | Home lab / networking | 128GB unified | Dual 10GbE, quiet |
| Framework Desktop | Configurable / repairable | Up to 128GB unified | Repairable design |
| Bosgame M5 | Value alternative | Up to 128GB unified | Competitive pricing |
| HP Z2 Mini G1a | Business IT | Up to 128GB unified | Workstation support |
What is the Ryzen AI Max+ 395 (and why it matters for local AI)?
The AMD Ryzen AI Max+ 395, codenamed Strix Halo, is a laptop-class chip that put workstation memory into a mini PC. It combines 16 Zen 5 CPU cores, a large Radeon 8060S integrated GPU with 40 compute units, and an NPU rated above 40 TOPS. The headline is the memory: up to 128GB of LPDDR5X-8000 shared across the whole chip.
That shared, or unified, memory is why these boxes matter for local AI. Up to 96GB can be handed to the GPU, so a Ryzen AI Max+ 395 mini PC loads models that would otherwise need an expensive discrete card with lots of VRAM. You get a machine that runs large local LLMs and still works as a normal Windows or Linux desktop.
- 16 Zen 5 cores — Strong general-purpose CPU for everyday work, not just AI.
- Radeon 8060S iGPU — 40 RDNA 3.5 compute units drive local inference.
- 128GB unified memory — Up to 96GB assignable to the GPU for big models.
- 40-plus TOPS NPU — Accelerates lightweight, built-in AI features.
Ryzen AI Max+ 395 vs NVIDIA DGX Spark
The Ryzen AI Max+ 395 and the NVIDIA DGX Spark are the two ways to get 128GB of AI memory on a desk in 2026. The DGX Spark uses the NVIDIA GB10 Grace Blackwell chip with full CUDA support and can run models up to around 200 billion parameters, and independent reviews give it the edge on raw AI performance. It also costs two to three times as much.
The Ryzen boxes win on price and flexibility. They reach the same 128GB unified memory for far less, and they double as full x86 desktops for normal work. The trade-off is tooling: NVIDIA CUDA is supported everywhere, while the AMD ROCm and Vulkan back-ends are improving but occasionally need more setup. Pick the DGX Spark for serious CUDA development, a Ryzen AI Max+ 395 box for the best big-model value.
- Price — Ryzen AI Max+ 395 boxes cost far less than the DGX Spark.
- Tooling — DGX Spark has full CUDA; Ryzen uses ROCm and Vulkan, which are improving.
- Performance — Reviews give the DGX Spark the edge on raw AI compute.
- Everyday use — Ryzen boxes are full x86 PCs; the DGX Spark is an Arm AI appliance.
How to pick a Ryzen AI Max+ 395 mini PC
Because every Ryzen AI Max+ 395 mini PC shares the same core silicon, the choice comes down to memory configuration, networking, cooling, and support — not raw AI speed, which is broadly similar across them. Decide how much unified memory you need first (128GB if you want the biggest models), then pick the box whose extras fit your setup.
- For value — The GMKtec EVO-X2 is the cheapest route to a full 128GB box.
- For a home lab — The Beelink GTR9 Pro adds dual 10GbE and quiet cooling.
- For repairability — The Framework Desktop is built to open, service, and reconfigure.
- For business IT — The HP Z2 Mini G1a brings workstation support and warranty.
Frequently Asked Questions
- The Ryzen AI Max+ 395 is the AMD Strix Halo processor — 16 Zen 5 cores, a 40-compute-unit Radeon 8060S GPU, and an NPU above 40 TOPS, with up to 128GB of unified LPDDR5X memory. That large, GPU-accessible memory is what lets a mini PC built on it run big local AI models.
- Ryzen AI Max+ 395 mini PCs come with up to 128GB of LPDDR5X-8000 unified memory, and up to 96GB of it can be assigned to the GPU. That is far more GPU-accessible memory than most discrete cards, which is why these boxes handle large local LLMs. Memory is soldered, so choose the capacity you need up front.
- Yes, the Ryzen AI Max+ 395 is one of the best value options for local LLMs in 2026. Its 128GB of unified memory runs 70B-class models comfortably and loads even larger ones, all in a mini PC that also works as a normal desktop. The main trade-off versus NVIDIA is the less mature ROCm tooling.
- It depends on budget and tooling. The NVIDIA DGX Spark has full CUDA, runs models up to about 200B parameters, and reviews give it the AI-performance edge — but it costs two to three times more. A Ryzen AI Max+ 395 box reaches the same 128GB memory for far less and doubles as an x86 PC. Choose the DGX Spark for CUDA development, Ryzen for value.
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