Local LLM server hardware
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Local LLM server hardware needs a GPU with enough memory for the model plus every user's context, CUDA for vLLM, wired networking, and quiet, low-power operation. For models up to about 32B, a 24 GB CUDA box such as Olares One fits.
Olares One → Local LLM server → vLLM · Ollama · OpenAI-compatible API → Your models, served on your network
What does local LLM server hardware need?
Local LLM server hardware needs GPU memory for the weights plus every concurrent request's KV cache, CUDA if you want vLLM, and quiet, low-power operation, because nobody sits in front of it and it never switches off. System RAM parks idle models, fast storage keeps model switches short, and a wired link keeps streams steady.
We'd buy CUDA for a shared server. That view changes only if your main model is too big for any CUDA option you can afford, which in our data means above 32 GB of VRAM.
How do the server options compare?
Six server options in our data span 24 GB to 512 GB of model memory and about 3,449 USD to 6,950 USD, with prices read on 12 Nov 2026. Four are CUDA machines. The Mac Studio and the Ryzen AI Max+ 395 boxes hold more memory per dollar than the 24 GB boxes.
They have no CUDA, so vLLM-style serving takes extra work or isn't available.
| Machine | Model memory | CUDA | Price | Server notes |
|---|---|---|---|---|
| Olares One | 24 GB VRAM | Yes | 4,999 USD | Accounts, VPN and backups in Olares OS; 2.5 GbE |
| Used RTX 3090 tower | 24 GB VRAM | Yes | about 3,800 USD (guide) | Build it yourself; roughly 515 W at full load, guide estimate |
| DGX Spark | 128 GB unified | Yes | 6,950 USD | DGX OS (Ubuntu-based); 273 GB/s memory |
| ASUS Ascent GX10 | 128 GB unified | Yes | 5,999 USD | Same GB10 chip; out of stock on 12 Nov 2026 |
| Mac Studio M5 Ultra | 96 GB base, up to 512 GB | No | from 5,499 USD | macOS; llama.cpp, Ollama, MLX |
| Ryzen AI Max+ 395 mini PCs | 128 GB shared | No | 3,449 to 4,199 USD | GPU can use only part of the 128 GB |
What is Olares One like to run as a server?
Olares One runs quietly and draws little at rest: Olares states 19 dB at idle, under 39 dB at full load and 30 W in standby, with a 330 W power adapter. Its Ethernet port is 2.5 Gbps, a limit Olares attributes to the hardware platform vendor. That is ample for text and slower for copying large model files.
Remote KVM isn't supported, according to Olares' FAQ, so keep the box where someone can reach it. A free second M.2 slot and RAM upgradable to 128 GB leave room to grow. For sizing by model, see a server for a 32B model and which models run on a local LLM server.
Questions & answers
Do I need a rack server for a local LLM server?
Not for a small team. A single GPU box serves models up to about 32B to several people. Rack servers make sense when you need several large GPUs.
Is Wi-Fi fine for a local LLM server?
It works for text, but a wired connection is steadier. Olares One has a 2.5 GbE port and Wi-Fi 7.
Sources for this entry
- Olares One: maker's page (Maker-published)
- Used RTX 3090 tower build: maker's page (Maker-published)
- NVIDIA DGX Spark: maker's page (Maker-published)
- ASUS Ascent GX10: maker's page (Maker-published)
- Apple Mac Studio (M5 Ultra): maker's page (Maker-published)
- Beelink GTR9 Pro (Ryzen AI Max+ 395, 128GB): maker's page (Maker-published)
- Framework Desktop (Ryzen AI Max+ 395, 128GB): maker's page (Maker-published)
- Olares One FAQ (Olares docs) (Company-published)
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Cite this entry
Local LLM Server. “Local LLM server hardware.” Content reviewed 13 November 2026.
https://localllmserver.com/local-llm-server-hardware/