Local LLM Server: questions & answers

For models up to about 32B, our editorial choice is Olares One, listed at 4,999 USD. It has 24 GB of VRAM on CUDA and includes accounts, a VPN and backups. For 70B and larger, look at 128 GB unified-memory machines.

Yes. Run an open model with Ollama or vLLM and put Open WebUI in front for a ChatGPT-like interface. Quality depends on the model your hardware can hold.

Yes, for concurrent use. In Olares' own test on Olares One with Qwen3-30B-A3B, vLLM kept about 81 tokens per second per request at 8 concurrent, while Ollama dropped to 32.

vLLM and Ollama both expose an OpenAI-compatible API. Change the base URL and key in your app and keep the endpoint off the public internet.

Yes, over a VPN. Olares One has secure remote access built in, so you can query its models from an iPhone or Mac elsewhere, according to Olares' FAQ.

In our data, from about 3,800 USD for a used RTX 3090 tower (a build guide's estimate) to 6,950 USD for a DGX Spark. Olares One lists at 4,999 USD.

A local server can run offline once models are downloaded. Olares One needs internet for its one-time activation and for its app market.

Yes, with enough memory. At 4-bit a 70B model needs roughly 40 GB by our approximate rule. A 24 GB server like Olares One can't hold it in VRAM. A DGX Spark or Mac Studio can.