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Best Mini PC for Local AI (2026): How to Choose

Mini PCs are a real option for local AI. Models with a large unified memory pool, where the CPU and GPU share the same RAM, can load models that would need a high-end graphics card on a desktop. Smaller mini PCs make quiet, always-on hosts for agents, automations and dashboards.

Picks are grouped by what you want to run. Model-size fits use our run-locally calculator's estimate.

Last updated · How we picked

As an Amazon Associate we earn from qualifying purchases. Links open an Amazon search by spec, where Amazon shows current models, prices and availability. We list no prices, ratings or discounts.

See which models fit each memory size in the run-locally calculator →

Quick picks by situation

  1. Best for local development and Docker

    Mini PC for local AI experiments

    Who it's for
    Developers who want a second machine for containers, test databases and small local models.
    Why
    A mini PC with 32 GB of RAM and a 1 TB SSD covers most development stacks with room for a small model.
    Skip if
    Your laptop already runs your containers comfortably.
    What to check
    Check memory capacity and type, operating-system support, and how many displays and network ports you need.
    See options on Amazon

  2. Best for models up to about 30B

    Mini PC with 32 GB unified memory

    Who it's for
    Developers who want local models on a small, quiet box.
    Why
    With about 75% of 32 GB usable by the GPU, there is room for 4-bit models up to roughly 30B by our estimate, though the largest leave little for anything else.
    Skip if
    You want 70B-class models; they need 64 GB or more.
    What to check
    Unified memory is usually soldered, so pick the size up front. Check how much memory the BIOS or driver lets the GPU use.
    See options on Amazon

  3. Best for 70B models at 4-bit

    Mini PC with 64 GB unified memory

    Who it's for
    People who want 70B-class models without a desktop graphics card.
    Why
    A 70B model at 4-bit needs about 41 GB by our estimate, within roughly 75% of 64 GB.
    Skip if
    You only run small models, or already have a desktop with a 24 GB card.
    What to check
    Check operating-system and runtime support for the chip's GPU (ROCm, Vulkan or Metal), and that the memory isn't limited to a small fixed GPU share.
    See options on Amazon

  4. Best for the largest models a mini PC can hold

    Mini PC with 128 GB unified memory

    Who it's for
    People who want 100B-plus models, or several models loaded at once.
    Why
    128 GB leaves about 96 GB for the GPU by our estimate, room for 4-bit models around 120B.
    Skip if
    Throughput matters more than model size; compare published memory bandwidth, which sets generation speed for large models.
    What to check
    Confirm the exact memory size on the listing, since the same model name is sold in several configurations.
    See options on Amazon

How to choose

Unified memory or a separate graphics card

On a unified-memory mini PC the GPU draws from the same RAM as the CPU, so a 64 GB or 128 GB machine can hold models that would need a workstation card on a desktop. A desktop card has its own faster memory but less of it. Size the memory to the largest model you plan to run.

Memory is usually fixed at purchase

Most unified-memory mini PCs have soldered memory. Buy the size you will need later, not just today. Mini PCs with SO-DIMM slots can be upgraded but usually lack the large shared GPU memory pool.

Agents and models need different things

An agent that calls cloud models needs little local compute; a steady CPU, 16–32 GB of RAM and low idle power matter more. Running the model yourself is what calls for a large unified memory pool.

Ports, networking and noise

Check for 2.5GbE or faster networking if the box talks to a NAS, USB4 or Thunderbolt if you plan external storage, and look for independent measurements of fan noise and idle power for an always-on box.

FAQ

Can a mini PC run a 70B model?

Yes, if it has enough unified memory. A 70B model at 4-bit needs about 41 GB by our estimate, so look at 64 GB or more. A mini PC without a large shared memory pool can't hold it in GPU memory.

Is a mini PC good for running AI agents?

For agents that call cloud models, yes: they need little local compute, and a mini PC uses less power than a desktop left on all day.

Mini PC or Mac mini?

Both can use unified memory. A Mac runs macOS with Metal and MLX support; a PC mini runs Windows or Linux with ROCm or Vulkan. Our Mac vs PC guide compares the two routes.

How we picked

  • We picked mini PCs by what they are for: always-on services, development, and unified memory tiers sized to model sizes.
  • Model-size fits come from the same estimate as our run-locally calculator (4-bit weights, 8K context, about 75% of unified memory usable by the GPU). Real use varies by runtime, context length and model.
  • Links open Amazon searches by spec, not a single listing, so you compare current models, prices and reviews yourself.
  • We have not tested these products hands-on for this guide and make no claims about speed or how any listing performs.

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