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Best Local LLM chat server

A home server built for private LLM chat (Ollama + Open WebUI), local code completion and LoRA fine-tuning — big VRAM, lots of RAM.

The request
  • Local AI inference
  • Code assistant (local LLM)
  • Model training / fine-tuning
Edit request
Overview · Unified-memory build€3,247

Requirements vs this build

need · used
CPU threads1856%OK
RAM96 GB75%OK
Storage4 TB99%Full
GPUAI-capable

Power

Usage
24/7
Idle
13 W
Typical
14 W
Peak
38 W
Energy / year
≈ €31
Over 3 years
≈ €92

Score

Overall69
Performance76
Efficiency93
Value51

Why this variant

Choose it if

Balances your priorities with a 3247€ 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: 32 threads, 128GB 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 ~96 GB of the 128 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 -24, value +51, efficiency +93, expandability -52, longevity +16 — that is why it is recommended for your priorities.
  • Unified-memory build — the model in shared RAM, no card beats "Long-term build — expandable & future-proof" on performance -24, value +51, efficiency +93, expandability -61, longevity +7 — that is why it is recommended for your priorities.

Before you buy

2 critical
Critical
Check the balance
This build may struggle with the workload.
Critical
No storage redundancy
1 drive(s) with no mirror or parity for the data you plan to store.