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Bedste AI-kodehjørne

En budgetbuild til lokal AI-kodefuldførelse med 14B-model, plus dev.

Behovet
  • Kodeassistent (lokal LLM)
  • Udviklingsmiljøer
  • Docker
Rediger behov
Oversigt · Unified-memory build€2,012

Krav vs dette byg

behov · brugt
CPU-tråde1547%OK
RAM64 GB100%Fuld
Lager3 TB99%Fuld
GPUAI-egnet

Forbrug

Brug
24/7
Tomgang
13 W
Typisk
20 W
Spids
38 W
Energi / år
≈ €44
Over 3 år
≈ €133

Score

Samlet72
Ydelse76
Effektivitet93
Værdi73

Hvorfor denne variant

Vælg den, hvis

Balances your priorities with a 2012€ 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 (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.
Hvorfor ikke de andre
  • Unified-memory build — the model in shared RAM, no card beats "Smart build — best all-round" on performance -14, value +6, efficiency +37, expandability -67, 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 efficiency +44, expandability -59, silence +25, longevity +16 — that is why it is recommended for your priorities.

Før du køber

3 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.
Kritisk
RAM is nearly exhausted
The workload needs 100% of available RAM — swapping will hurt.
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