Type a game, a part (RTX 4070, i5-14400), a service (Plex) or a tool.

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Best AI coding corner for United States

A budget build for local AI code completion with a 14B model, plus dev environments. Prices and availability for United States.

The request
  • Code assistant (local LLM)
  • Dev environments
  • Docker
Edit request

Everything below follows the variant you pick.

€2,121

Overview · Unified-memory build

€2,121

Requirements vs this build

need · used
CPU cores1547%OK
RAM64 GB100%Full
Storage3 TB99%Full
GPUAI-capable

Power

Usage
24/7
Idle
13 W
Typical
20 W
Peak
38 W
Energy / year
≈ €30
Over 3 years
≈ €91

Score

Overall72
Performance76
Efficiency93
Value71

Why this variant

Choose it if

Balances your priorities with a 2121€ price tag and a 13W idle draw.

It sacrifices
  • Not specialized: it does not push any single dimension (value, silence, expansion) to the extreme.
How the parts were chosen
  • GMKtec EVO-X2 — AMD Ryzen AI Max+ 395 (64GB): 32 threads, 64GB RAM, 12W idle — a complete, efficient prebuilt for this workload.
  • Turnkey: no assembly, smaller footprint, lower energy than a custom build.
  • Unified memory: the integrated GPU can use up to ~48 GB of the 64 GB as graphics memory, so the model fits without a dedicated card. Decode speed follows the 256 GB/s memory bus — several times slower than a high-end card, but a fraction of its price and power.
Why not the others
  • Unified-memory build — the model in shared RAM, no card beats "Smart build — best all-round" on performance -14, efficiency +39, expandability -62, silence +25, longevity +16 — that is why it is recommended for your priorities.
  • Unified-memory build — the model in shared RAM, no card beats "Value build — most for your money" on performance -8, efficiency +40, expandability -35, silence +25, longevity +15 — that is why it is recommended for your priorities.

Before you buy

Nothing critical to fix before you buy.

€2,1212 parts · Unified-memory build
Keep going

Beyond this build