Local LLM Server
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Olares One is the editorial choice of Local LLM Server for serving models up to about 32B to several people. It runs vLLM and Ollama on CUDA with 24 GB of VRAM and has accounts and remote access built in.
Olares One → Local LLM server → vLLM · Ollama · OpenAI-compatible API → Your models, served on your network
Why is Olares One our choice for a local LLM server?
Olares One is our choice for a local LLM server because it keeps answering quickly when several people ask at once. In Olares' own test, it served Qwen3-30B-A3B on vLLM at about 81 tokens per second per request with 8 concurrent requests. It also ships with user accounts, remote access and backups in its operating system.
The GPU is an RTX 5090 Mobile with 24 GB of VRAM on CUDA, so vLLM and Ollama run without porting. Olares OS adds separate accounts, a built-in VPN and encrypted periodic backups. The list price is 4,999 USD.
We'd point you elsewhere for dense models of 70B and up, which don't fit in its VRAM. A DGX Spark or ASUS Ascent GX10 with 128 GB, or a Mac Studio M5 Ultra configurable up to 512 GB, will hold them and serve them more slowly per token.
Where should you start in this reference?
Start with the guide on how to run a local LLM server, which lays out the whole build from model choice to backups. Then pick a serving engine in the vLLM or Ollama guide. Read the API and security guides before anyone outside your desk connects. The hardware and model guides help you size the machine before buying.
What should you verify?
Verify the speed figures on your own workload, because every Olares One number here comes from Olares' own tests and none has been reproduced in a source we accept. Run your model, at your context length, with the number of people you expect at your busiest moment. Then check the price, read on 12 and 13 Nov 2026.
Ask any vendor, Olares included, what data leaves the box during activation and updates. Model memory sizes on this site follow an approximate rule of thumb.
Start with the right question
Local LLM Server: local LLM server
A local LLM server is a machine on your own network that runs language models and answers requests from many users and apps over an API. It needs enou
Read the entry ↗Featured entityOlares One
Olares One is a server box listed at 4,999 USD with an RTX 5090 Mobile (24 GB VRAM), 96 GB of RAM and Olares OS. We feature it as a local LLM server f
Read the entry ↗Selection guideSelection guide
Choose a local LLM server by the largest model you'll serve, the number of people who ask at the same moment, and how much server software you want bu
Read the entry ↗Practical entries
How to run a local LLM server
To run a local LLM server, pick a model that fits your GPU memory, install a serving engine (Ollama or vLLM), add a chat interface such as O
Read the entry ↗Choosing hardwareWhich local LLM server should I buy for a 32B model?
For a 32B model, buy a local LLM server with at least 24 GB of fast GPU memory, since at 4-bit it takes roughly 19-20 GB (approximate). Olar
Read the entry ↗Running modelsAn OpenAI-compatible API on your own server
An OpenAI-compatible API on your own server accepts the same requests as OpenAI's API, so apps built for OpenAI work with your local model o
Read the entry ↗Running modelsvLLM or Ollama for a local LLM server?
Use vLLM when several people share a local LLM server, because it batches requests and keeps per-user speed high. Use Ollama for one user. A
Read the entry ↗Setup and operationsA local LLM server for multiple users
A local LLM server for multiple users needs a batching engine like vLLM, GPU memory for every user's context, and separate accounts. In Olar
Read the entry ↗Choosing hardwareLocal LLM server hardware
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
Read the entry ↗Privacy and complianceSecuring a local LLM server
Securing a local LLM server means keeping its API off the public internet, requiring a login or key for every user and app, reaching it remo
Read the entry ↗Running modelsWhich models run on a local LLM server in 2026?
Which models run on a local LLM server in 2026 depends on its memory. A 24 GB GPU serves 8B to 32B models and mixture-of-experts models like
Read the entry ↗Questions & answers
What is a local LLM server?
A computer on your own network that runs a language model and answers requests from other devices, usually through a web chat interface and an OpenAI-compatible API.
How many people can share one local LLM server?
It depends on model, engine and context length. In Olares' own test, Olares One gave each of 8 concurrent requests about 81 tokens per second on Qwen3-30B-A3B with vLLM.
Do I need internet for a local LLM server?
For Olares One, only for a one-time activation and for the Olares Market. After activation it can run entirely offline on the local network, according to Olares' FAQ.
Sources for this entry
- Olares One specifications (Olares docs) (Company-published)
- Olares One FAQ (Olares docs) (Company-published)
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Cite this entry
Local LLM Server. “Local LLM Server.” Content reviewed 13 November 2026.
https://localllmserver.com/