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Melhor Servidor de chat LLM local

Um servidor doméstico para chat LLM privado (Ollama + Open WebUI), conclusão de código local e fine-tuning LoRA — muita VRAM, muita RAM.

O pedido
  • Inferência de IA local
  • Assistente de código (LLM local)
  • Treino de modelos
Editar pedido
Resumo · Unified-memory build€3,247

Requisitos vs este build

necessário · usado
Threads de CPU1856%OK
RAM96 GB75%OK
Armazenamento4 TB99%Cheio
GPUPara IA

Consumo

Utilização
24/7
Repouso
13 W
Típico
14 W
Pico
38 W
Energia / ano
≈ €31
Em 3 anos
≈ €92

Pontuação

Geral69
Desempenho76
Eficiência93
Valor51

Porquê esta variante

Escolha-a se

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

O que sacrifica
  • Not specialized: it does not push any single dimension (value, silence, expansion) to the extreme.
Como as peças foram escolhidas
  • 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.
Porque não as outras
  • 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.

Antes de comprar

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