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Bedste Lokal LLM-chatserver

En hjemmeserver til privat LLM-chat (Ollama + Open WebUI), lokal kodefuldførelse og LoRA-fintuning — meget VRAM, meget RAM.

Behovet
  • Lokal AI-inferens
  • Kodeassistent (lokal LLM)
  • Modeltræning / fine-tuning
Rediger behov
Oversigt · Unified-memory build€3,247

Krav vs dette byg

behov · brugt
CPU-tråde1856%OK
RAM96 GB75%OK
Lager4 TB99%Fuld
GPUAI-egnet

Forbrug

Brug
24/7
Tomgang
13 W
Typisk
14 W
Spids
38 W
Energi / år
≈ €31
Over 3 år
≈ €92

Score

Samlet69
Ydelse76
Effektivitet93
Værdi51

Hvorfor denne variant

Vælg den, hvis

Balances your priorities with a 3247€ price tag and a 13W idle draw.

Hvad den ofrer
  • Not specialized: it does not push any single dimension (value, silence, expansion) to the extreme.
Hvordan delene blev valgt
  • 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.
Hvorfor ikke de andre
  • Unified-memory build — the model in shared RAM, no card beats "Smart build — best all-round" on performance -24, value +51, efficiency +93, expandability -73, longevity +16 — that is why it is recommended for your priorities.

Før du køber

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