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~50-user team AI stack on one RTX A6000 (vLLM + LiteLLM + Open WebUI)

An administrator guide for a self-hosted team platform: vLLM serves Gemma 4 31B on a single 48GB RTX A6000, LiteLLM handles keys and rate limits, Open WebUI is the chat/RAG front end, with PII redaction and monitoring.

11-50 peopleDocument search / chat with filesWriting assistantCoding$3k+Sensitivity: High (client/confidential)

Hardware

ItemApprox. price (as of 2026-10-16)
On sale −6% MSI GeForce RTX 5060 Ti 16GB Ventus 3X OC (Newegg, related current offer)$579.99 $614.99
Server with 1x NVIDIA RTX A6000 (48GB), 8+ cores (16+ recommended), 64GB RAM (128GB recommended), 200GB+ SSDNot stated in source

Source prices are as stated by the source. Retailer offers: prices checked 2026-10-16, may change. Some links may be affiliate links; we may earn a commission at no extra cost to you. This never changes what we list.

Software stack

  • vLLM
  • LiteLLM
  • Open WebUI
  • Ollama (CPU, embeddings)
  • Presidio (PII)
  • Prometheus/Grafana/Loki
  • Tailscale or SSH tunnel

Models used

  • google/gemma-4-31B-it-qat-w4a16-ct
  • nomic-embed-text (embeddings)

Good at

  • Guide states ~15-25 concurrent chat sessions and ~50 total users with queuing and rate limits
  • vLLM is never exposed to the network; only Open WebUI and LiteLLM bind to localhost
  • Per-key rate limits and usage tracking via LiteLLM

Weak at

  • Many moving parts (gateway, monitoring, logging) to maintain
  • IDE/agent traffic shares the same GPU and limits; users may see HTTP 429 errors under load

Rough total cost

Not stated in source.

Getting started

  1. Install Ubuntu 22.04/24.04, NVIDIA driver and Docker.
  2. Copy .env.example, set HF_TOKEN and LiteLLM master key.
  3. docker compose up the stack (vLLM, LiteLLM, Open WebUI, Ollama embeddings, monitoring).
  4. Create user accounts in Open WebUI and issue LiteLLM keys with rate limits.
  5. Give staff access over Tailscale or SSH tunnel.

Source & credit

SFotopoulou/self-hosted-ai - Team AI Stack administrator guide — GitHub

Summarized from the source; quotes are the source author's words. Check the original before buying.

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