DIY Programmer

Hardware for local coding AI

What computer do you need for local AI coding?

Choose a ready-to-use computer by model size, response speed and the development tools you run beside it, from compact models to large project context.

Start with the practical steps Choose suitable hardware

In plain language

Usable model memory matters most

A compact model for explanations and short suggestions needs much less memory than an assistant reading many project files together. Leave room for the editor, browser, database and development tools too. A fast SSD reduces loading time, but it cannot replace enough system memory or graphics memory.

What you can build

Three practical size classes

The right specification follows the model and project context you plan to use.

Getting started

Compact models for questions, explanations and small suggestions need comparatively little memory.

Larger projects

More RAM or VRAM allows stronger coding models and more project files in the conversation.

Full development desk

Extra capacity keeps the editor, containers, tests and local databases responsive at the same time.

How to start

Work out your hardware requirement

Buy for the actual workload instead of a general AI label on the box.

  1. Pick one small goal

    Decide which model you want to use and how many project files it should consider together.

  2. Describe what you want

    Add the memory used by the model, operating system, editor, browser and development services.

  3. Build one useful feature

    Choose whether faster replies or a larger capable model matters more to you.

  4. Try the result yourself

    Check RAM, VRAM, SSD capacity, ports and upgrade options on the exact configuration offered.

Before you share it

Check the exact version before buying

The same product family is often sold with several memory and storage configurations.

  • The offered configuration has the stated amount of RAM or VRAM.
  • Memory covers the model and your other applications with room to spare.
  • Cooling and power delivery can handle longer computing sessions.
  • Upgrade options, ports and return terms fit your workspace.

Choose suitable hardware

Complete systems for local coding models

These systems cover different memory levels. Compare the exact configuration with the model and working style you plan to use.

GMKtec EVO-X2 128 GB RAM / 2 TB SSD

Approachable local coding setup

Ryzen AI Max+ 395 · Radeon 8060S · 128 GB unified memory · 2 TB SSD

GMKtec EVO-X2 128 GB RAM / 2 TB SSD

A practical fit for compact to medium coding models beside a complete development workspace.

Model memory
128 GB shared
Storage
2 TB and a second M.2 slot
Connectivity
2× USB4 and Wi-Fi 7

Watch for: Match the exact memory configuration to the model you plan to run.

View configuration*
HP Z2 Mini G1a 128 GB RAM / 1 TB SSD

More room for larger models

Ryzen AI Max+ PRO 395 · Radeon 8060S · 128 GB unified memory · 1 TB SSD

HP Z2 Mini G1a 128 GB RAM / 1 TB SSD

Useful when the model, editor, containers and database should remain responsive together.

Model memory
128 GB shared
Storage
1 TB and a second M.2 slot
Support
Three-year workstation warranty

Watch for: Additional memory and performance increase purchase price and power use.

View configuration*
Beelink GTR9 Pro 128 GB RAM / 2 TB SSD

Compact private AI workspace

Ryzen AI Max+ 395 · Radeon 8060S · 128 GB unified memory · 2 TB SSD

Beelink GTR9 Pro 128 GB RAM / 2 TB SSD

A space-saving choice for local assistants and everyday personal app projects.

Model memory
128 GB shared
Storage
2 TB and a second M.2 slot
Networking
2× 10GbE plus Wi-Fi 7

Watch for: Upgrade options may be more limited than on a full-size desktop.

View configuration*

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Compare all local-AI systems at AI Model PC →

Continue

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Official documentation and further reading

Technical references are linked to the original project or manufacturer documentation.